Volume 2024 Volume 2023 Volume 2022 Volume 2021 Volume 2020 Volume 2019 Volume 2018 Volume 2017 Volume 2016 Volume 2015 Volume 2014
Vol. 7, Issue 12, PP. 414-421, December 2020
In the last decade, the number of mobile subscription all over the world growing at a magnificent pace and providing connectivity to everyone around the globe is indispensable, which led to an increasing number of mobile base stations (BSs). In urban community mobile operator has easy access to grid electricity and they can easily installed BTS in these locations in a cost-effective way. But the rural areas face huge problem of electricity and grid electricity is not spread out in all the region, so, mobile operator face a huge problem while deploying BTS. Most of the rural region of Pakistan facing the problem of load shedding, power failure and no grid electricity access, so, mobile operator usually employed diesel generator to cater these issues, but due to escalating price of diesel oil and global warming it’s very costly in term of energy production and is environmentally unfriendly too. So, mobile operator needs some alternative ways of energy production in these locations. To power up BTS in remote areas, renewable energy sources are the best solution and incorporation with diesel generator make the system further efficient and reliable. This study furnishes the design and simulation of stand-alone HRES along with their feasibility report and economic analysis using HOMER. Another aim of this work is the comparison of the existing system and the proposed hybrid system for the telecommunication site. A sensitivity analysis is also carried out to observe and analyze the effect of variation in different parameter on the COE and NPC. It is evident from the optimization results that the integration of solar energy along with battery bank is the most optimum. Furthermore, due to the integration of renewable energy emission of greenhouses gases get abated.
Farhan ullah: Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy (USPCAS-E), UET Peshawar
Naveed Malik: Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy (USPCAS-E), UET Peshawar
Dawood Shah: Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy (USPCAS-E), UET Peshawar
Amir Khan: Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy (USPCAS-E), UET Peshawar
[1] M. Usman, A. M. Malik, A. Mahmood, A. Kousar, and K. Sabeel, “HOMER Analysis for Integrating Solar Energy in Off-Grid and On-Grid SCO Telecommunication Sites,” 2019 1st Glob. Power, Energy Commun. Conf., pp. 270–275, 2019.
[2] R. Sen and S. C. Bhattacharyya, “Off-grid electricity generation with renewable energy technologies inIndia: An application of HOMER,” Renew. Energy, vol. 62, pp. 388–398, 2014.
[3] A. Helal, R. El-Mohr, and H. Eldosouki, “Optimal design of hybrid renewable energy system for electrification of a remote village in Egypt,” 2nd Int. Conf. Commun. Comput. Control Appl. CCCA 2012, pp. 1–6, 2012.
[4] P. Bajpai, N. P. Prakshan, and N. K. Kishore, “Renewable hybrid stand-alone telecom power system modeling and analysis,” IEEE Reg. 10 Annu. Int. Conf. Proceedings/TENCON, pp. 0–5, 2009.
[5] M. Nurunnabi and N. K. Roy, “Grid connected hybrid power system design using HOMER,” Proc. 2015 3rd Int. Conf. Adv. Electr. Eng. ICAEE 2015, pp. 18–21, 2016.
[6] D. K. Yadav, S. P. Girimaji, and T. S. Bhatti, “Optimal hybrid power system design using HOMER,” India Int. Conf. Power Electron. IICPE, no. 1, pp. 1–6, 2012.
[7] M. Jarahnejad and A. Zaidi, “Exploring the Potential of Renewable Energy in Telecommunications Industry,” 2018.
[8] M. A. Ghaffar, “The energy supply situation in the rural sector of Pakistan and the potential of renewable energy technologies,” Renew. Energy, vol. 6, no. 8, pp. 941–976, 1995.
[9] M. Muthuramalingam and P. S. Manoharan, “Energy comparative analysis of MPPT techniques for PV system using interleaved soft-switching boost converter,” World J. Model. Simul., vol. 11, no. 2, pp. 83–93, 2015.
[10] M. Y. Raza, M. Wasim, and M. S. Sarwar, “Development of Renewable Energy Technologies in rural areas of Pakistan,” Energy Sources, Part A Recover. Util. Environ. Eff., vol. 0, no. 00, pp. 1–21, 2019.
[11] S. A. Chowdhury, V. Roy, and S. Aziz, “Renewable energy usage in the telecommunication sector of Bangladesh: Prospect and progress,” Proc. 1st Int. Conf. Dev. Renew. Energy Technol. ICDRET 2009, pp. 234–238, 2009.
[12] S. Bahramara, M. P. Moghaddam, and M. R. Haghifam, “Optimal planning of hybrid renewable energy systems using HOMER: A review,” Renew. Sustain. Energy Rev., vol. 62, pp. 609–620, 2016.
[13] P. Bajpai and V. Dash, “Hybrid renewable energy systems for power generation in stand-alone applications : A review,” Renew. Sustain. Energy Rev., vol. 16, no. 5, pp. 2926–2939, 2012.
[14] A. Helal, R. El-Mohr, and H. Eldosouki, Optimal design of hybrid renewable energy system for electrification of a remote village in Egypt. 2012.
[15] R. Ramakumar, I. Abouzahr, and K. Ashenayi, “A knowledge-based approach to the design of integrated renewable energy systems,” IEEE Trans. Energy Convers., vol. 7, no. 4, pp. 648–659, 1992.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 12, PP. 422-428, December 2020
Solar energy is one of the most promising and sustainable energy suppliers among other energies. Geologically Pakistan is residing in the territory of highest solar radiation fall in the world. The average radiation falls is range from 4.656 - 4.864 kWh/m2/day daily on Pakistan. It shows the high potential solar energy exists in Pakistan, but still Pakistan is unsuccessful to trap solar energy in abundant manner due to many reason. Pakistan is facing energy crisis for many years and still many of the regions are not electrified due to accessibility and other issues. So the local people are using the standalone solar system for fulfilling the basic need but the survey found very bad quality solar panels selling in the market which are imported from china and other countries. However, it discourages indirectly the local people by using such panels by getting the low output. So this research is carried to conduct the life cycle assessment (LCA) of solar module. It is a technique that quantifies the product impact on the environment and identifies other important factors which ensure the quality and market development. In this research the LCA found the processes and operation used in manufacturing the solar module, which contribute larger part in the emission and energy consumption. The transformation of metallurgical grade silicon to solar grade silicon and panels assembly is the two main processes which consumed more than 70% of energy and take part in higher emission. The results showed 1416 MJ/panel and about 79 kg of equivalent CO2/panel generated. So it is proposed that Pakistan should start their manufacturing.
Malik Amad Khalil: US:-Pakistan Centre for Advanced Studies in Energy, University of Engineering & Technology, Peshawar, Pakistan
Majid Ullah: US:-Pakistan Centre for Advanced Studies in Energy, University of Engineering & Technology, Peshawar, Pakistan
Wisal Muhammad Khalil: Electrical Department, University of Engineeing & Technology, Peshawar, Pakistan
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 12, PP. 406-413, December 2020
Energy is the key driver and frequently assume their role play as a catalyst for the sustainable development. Universally the per capita consumption of energy is frequently utilized as a guage for the economic and sustainable development of any country. Sustainable Energy plays a critical part being an imperative segment for the social values, energy poverty eradication and economic development, The huge inadequacy of power because of substantial dependence on imported fuels has turned into a noteworthy obstacle to economic and sustainable growth of any developing country in general and to particular in Pakistan. This situation makes an expansion in nearby fuel costs and cutoff points possibilities in the foundation of new industries. The ongoing gap between the demand and supply of power in Pakistan is around 7000-8000 MW with a consistent increment of 6-8% per annum. Consequently, hence to overcome this situation, sustainable power sources are intensely required to conquer the current issue Pakistan is blessed with enormous sustainable power source assets, for example, wind, sunlight based, hydro, and bio-mass. These resources have the tendency to be major contributors of future energy creation framework, climate change minimization, energy decarboniztion, energy independency, sustainable growth and development of the country. This research narrates the alternative energy resources like renewables, to inrease energy efficiencies and related possibilities for full-scale advancement which can be viable for sustainable development.
Majid Ullah: US:-Pakistan Centre for Advanced Studies in Energy, University of Engineering & Technology, Peshawar, Pakistan
Sayed Kamal: US:-Pakistan Centre for Advanced Studies in Energy, University of Engineering & Technology, Peshawar, Pakistan
Malik Amad Khalil: US:-Pakistan Centre for Advanced Studies in Energy, University of Engineering & Technology, Peshawar, Pakistan
Sheraz Khan: US:-Pakistan Centre for Advanced Studies in Energy, University of Engineering & Technology, Peshawar, Pakistan
[1] K. Kaygusuz, “Energy and environmental issues relating to greenhouse gas emissions for sustainable development in turkey,” Renewable and Sustainable Energy Reviews, vol. 13, no. 1, pp. 253–270, 2009.
[2] I. Dincer, “Renewable energy and sustainable development:a crucial review,” Renewable and sustainable energy reviews, vol. 4, no. 2, pp. 157–175, 2000.
[3] S. Z. Farooqui, “Prospects of renewables penetration in the energy mix of pakistan,” Renewable and Sustainable Energy Reviews, vol. 29, pp. 693–700, 2014.
[4] M. H. Sahir and A. H. Qureshi, “Assessment of new andrenewable energy resources potential and identification of barriers to their significant utilization in pakistan,” Renewable and Sustainable Energy Reviews, vol. 12, no. 1, pp. 290–298, 2008.
[5] J. Soussan, Primary resources and energy in the third world.Taylor & Francis, 1988.
[6] R. H. Jones, “Energy poverty: How to make modern energy access universal,” Special early excerpt of the World Energy Outlook, 2010.
[7] I. E. A. O. of Energy Technology, R. . D., and G. of Eight (Organization), Energy technology perspectives. InternationalEnergy Agency, 2008.
[8] A. Ie, “Energy technology perspectives scenarios and strategies to 2050: in support of the g8 plan of action,” 2006.
[9] B. K. Hodge, Alternative energy systems and applications. John Wiley & Sons, 2017.
[10] N. A. Owen, O. R. Inderwildi, and D. A. King, “The status of conventional world oil reserveshype or cause for concern?” Energy policy, vol. 38, no. 8, pp. 4743–4749, 2010.
[11] R. Woodward, The organisation for economic co-operation and development (OECD). Routledge, 2009.
[12] S. Teske, J. Muth, S. Sawyer, T. Pregger, S. Simon, T. Naegler, M. O’Sullivan, S. Schmid, J. Pagenkopf, B. Frieskeet al., Energy [r] evolution-a sustainable world energy outlook. Greenpeace International, EREC and GWEC, 2012.
[13] C. Venkataraman, A. Sagar, G. Habib, N. Lam, and K. Smith, “The indian national initiative for advanced biomass cookstoves: the benefits of clean combustion,” Energy for Sustainable Development, vol. 14, no. 2, pp. 63–72, 2010.
[14] T. Dietz, G. T. Gardner, J. Gilligan, P. C. Stern, and M. P. Vandenbergh, “Household actions can provide a behavioral wedge to rapidly reduce us carbon emissions,” Proceedings of the National Academy of Sciences, vol. 106, no. 44, pp. 18 452–18 456, 2009.
[15] M. Asaduzzaman, D. F. Barnes, and S. Khandker, Restoring balance: Bangladesh’s rural energy realities. The World Bank, 2010.
[16] S. Ohshita, “Exercising power: Chinas transition to efficient, renewable energy,” in Germany’s Energy Transition. Springer, 2016, pp. 133–163.
[17] S. Tracey and B. Anne, OECD insights sustainable development linking economy, society, environment: Linking economy,society, environment. OECD Publishing, 2008.
[18] K. Kaygusuz, “Energy services and energy poverty for sustainable rural development,” Renewable and Sustainable Energy Reviews, vol. 15, no. 2, pp. 936–947, 2011.
[19] M. G¨uney and K. Kaygusuz, “Hydrokinetic energy conversion systems: A technology status review,” Renewable and Sustainable Energy Reviews, vol. 14, no. 9, pp. 2996 3004, 2010.
[20] K. Kaygusuz, “Wind energy status in renewable electrical energy production in turkey,” Renewable and Sustainable Energy Reviews, vol. 14, no. 7, pp. 2104–2112, 2010.
[21] K. Kaygusuz, “Wind energy status in renewable electrical energy production in turkey,” Renewable and Sustainable Energy Reviews, vol. 14, no. 7, pp. 2104–2112, 2010.
[22] “Prospect of concentrating solar power in turkey: the sustainable future,” Renewable and Sustainable Energy Reviews, vol. 15, no. 1, pp. 808–814, 2011.
[23] S. O. Oyedepo, “Energy and sustainable development in nigeria: the way forward,” Energy, Sustainability and Society, vol. 2, no. 1, p. 15, 2012.
[24] M. A. Rosen, “Energy sustainability: A pragmatic approach and illustrations,” Sustainability, vol. 1, no. 1, pp. 55–80, 2009.
[25] S. Adeyemo and A. Odukwe, “Energy conservation as a viable pathway towards energy stability,” 200.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 12, PP. 401-405, December 2020
The virtual simulation of organic solar cell is carried in General purpose Photovoltaic Device Model (GPVDM) software. In this work performance of Organic solar cell is investigated. Organic solar cell is composed of 3-hexyl thiophene (P3HT:PCBM) a polymer as an active layer. The poly (3, 4-ethylenedioxy thiophene) poly (styrenesulfonate) (PEDOT:PSS) is added as an electron blocking layer and Indium Tin Oxide (ITO) film is used as top layer because of its high conductivity and very low resistance to transmission of light in visible range. GPVDM is used for light harvesting device simulations. It works on basis of Poisson’s Equations to equate the device internal parameters that may be electrical or optical. Shockley-Read-Hall (SRH) formulations are used to calculate recombination and carrier trapping or mobility. In this study the temperature, band gap and active layer thickness is studied, how they affect the performance of organic solar cell. Variation in temperature inversely affects the efficiency. With increase in Band Gap efficiency also increase till band gap reaches 1.6eV, moreover increase in band gap increases efficiency but open circuit voltage value gets negative. The optimum value of active layer we got is 20nm which gives high efficiency.
Wahid Amin: Renewable Energy Engineering USPCAS-E UET, Peshawar, Pakistan
Zulfiqar Ali: Renewable Energy Engineering USPCAS-E UET, Peshawar, Pakistan
Muhammad Babar Iqbal: Renewable Energy Engineering USPCAS-E UET, Peshawar, Pakistan
Muhammad Arsalan Wahid: Renewable Energy Engineering USPCAS-E UET, Peshawar, Pakistan
[1] N.S. Sariciftci, L. Smilowitz, A. J. Heeger, and F. Wudl., Photo induced electron transfer from a conducting polymer to bulkminsterfullerene. Science 258, 1474 (1992).
[2] G. Yu, J. Gao, J. C. Hummelen, F. Wudl, and A. J. Heeger. Optimization of conjugate-polymer based bulk hetero junction. Science 270, 1789 (1995).
[3] N. Rastogi, N. Singh, and M. Saxena, A brief review on current need of organic solar cells. International Journal of Innovative Research in Science, Engineering and Technology, 2, 12, (2013).
[4] S. C. Jain, M. Willander, and V. Kumar, Conducting organic material and devices (Academic, San Diego, (2007).
[5] W. J. Belcher, K. I. Wagner, and P. C. Dastoor, The effect of porphyrin inclusion on the spectral response of ternaryP3HT: PCBM bulk hetero junction solar cells, Sol. Energy Mater. Sol. Cells 91 447- 452 (2007).
[6] Y. Kim, S. Cook, S. M. Tuladhar, S. A. Choulis, J. Nelson, J. R. Durrant, D. D. C. Bradley, M. Giles, I. McCulloch, C. S. Ha,
[7] and M. Ree, A strong regioregularity effect in self-organizing conjugated polymer films and high-efficiency polythiophene fullerene solar cells, Nat. Mater. 5 197-203 (2006).
[8] S. H. Park, A. Roy, S. Beaupre, S. Cho, N. Coates, J.S. Moon, D. Moses, M. Leclerc, K. Lee, and A. J. Heeger, Bulk hetero junction solar cells with internal quantum efficiency approaching 100%, Nature Photonics 3, 297–302 (2009).
[9] F. C. Krebs, et al., A round robin study of flexible large-area roll- to-roll processed polymer solar cell modules, Solar Energy Material and Solar Cells 93, 1968–1977 (2009)
[10] W. Ma, C. Yang, X. Gong, K. S. Lee, A. J. Heeger, Thermally stable, efficient polymer solar cells with nanoscale control of the interpenetrating network morphology, Advanced Functional Materials 15 ,1617–1622 (2005).
[11] P.P. Boix, A. Guerrero, L.F. Marchesi. G.J. Garcia-Belmonte, Bisquert, Current–voltage characteristics of bulk hetero junction organic solar cells: connection between light and dark curves, Adv. Energy Mater 1, 1073–1078 (2011)
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 11, PP. 394-400, November 2020
Apart from many other factors the overall performance of PV depends on temperature and solar irradiance because as the day progresses the energy received by PV panels from the sun changes and temperature also changes throughout the day. In this paper effects of temperature and solar irradiance variation were studied on a 240V PV panels maximum power, efficiency, and fill factor. The model is designed in Simulink/Matlab software which has two variable inputs in the form solar irradiance and temperature and three output parameters i.e. efficiency, fill factor and maximum power. First the performance parameters are observed under STC conditions and then one of the input is changed from STC whereas the other one is kept constant. At the end the second input is varied whereas the first one is held at STC. Simulations were performed and results obtained in terms of maximum power, efficiency and fill factor shows percent variation from its reference value for every one degree centigrade change in temperature and for every 20W/m2 change in the solar irradiance.
Muhammad Azaz: Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy (US-PCASE), UET Peshawar.
Sajad Ullah: Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy (US-PCASE), UET Peshawar.
Jawad Ul Islam: Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy (US-PCASE), UET Peshawar.
[1] Darwish, Z.A., et al., Impact of some environmental variables with dust on solar photovoltaic (PV) performance: review and research status. International J of Energy and Environment, 2013. 7(4): p. 152-159.
[2] Singh, G.K., Solar power generation by PV (photovoltaic) technology: A review. Energy, 2013. 53: p. 1-13.
[3] Pandiarajan, N. and R. Muthu. Mathematical modeling of photovoltaic module with Simulink. in 2011 1st International Conference on Electrical Energy Systems. 2011. IEEE.
[4] Touati, F., et al., Investigation of solar PV performance under Doha weather using a customized measurement and monitoring system. Renewable Energy, 2016. 89: p. 564-577.
[5] Aksakal, A. and S. Rehman, Global solar radiation in northeastern Saudi Arabia. Renewable Energy, 1999. 17(4): p. 461-472.
[6] Kim, I.-S., Robust maximum power point tracker using sliding mode controller for the three-phase grid-connected photovoltaic system. Solar Energy, 2007. 81(3): p. 405-414.
[7] Van Dyk, E., et al., Temperature dependence of performance of crystalline silicon photovoltaic modules. South African Journal of Science, 2000. 96(4).
[8] Kawajiri, K., T. Oozeki, and Y. Genchi, Effect of temperature on PV potential in the world. Environmental Science & Technology, 2011. 45(20): p. 9030-9035.
[9] Dubey, S., J.N. Sarvaiya, and B. Seshadri, Temperature dependent photovoltaic (PV) efficiency and its effect on PV production in the world–a review. Energy Procedia, 2013. 33: p. 311-321.
[10] Kane, A.N. and V. Verma, Performance enhancement of building integrated photovoltaic module using thermoelectric cooling. International Journal of Renewable Energy Research (IJRER), 2013. 3(2): p. 320-324.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 11, PP. 390-393, November 2020
In this study we present optimized shape, size and material of plasmonic nanoparticles in thin film solar cell. For this purpose, we chose silicon active layer solar cell, on the top of active layer another layer of silicon dioxide was used as antireflection coating. Thickness of ARC layer was kept 71nm. On the top of ARC layer metallic nanoparticles were placed. Parameters of NP’s such as shape, size and material were varied. Respective variations in the absorption of light in the active silicon layer were observed respectively. Absorption patterns were plotted against wavelength range of 400nm to 1400nm of incident light radiation using Finite Element Method (FEM). Results revealed the most optimized size and shape of nanoparticles that can contribute to the absorption of light in the active layer of the solar cell. Results also distinguished the best material for nanoparticle.
Asadullah: University of Engineering and Technology Peshawar, Pakistan, U.S Pakistan Center for Advanced Studies in Energy (USPCAS-E)
Fazal E Hilal: University of Engineering and Technology Peshawar, Pakistan, U.S Pakistan Center for Advanced Studies in Energy (USPCAS-E)
[1] A. D. Khan and G. Miano, "Higher order tunable Fano resonances in multilayer nanocones," Plasmonics, vol. 8, pp. 1023-1034, 2013.
[2] A. D. Khan and G. Miano, "Investigation of plasmonic resonances in mismatched gold nanocone dimers," Plasmonics, vol. 9, pp. 35-45, 2014.
[3] A. D. Khan and M. Amin, "Tunable salisbury screen absorber using square lattice of plasmonic nanodisk," Plasmonics, vol. 12, pp. 257-262, 2017.
[4] A. D. Khan, A. D. Khan, S. D. Khan, and M. Noman, "Light absorption enhancement in tri-layered composite metasurface absorber for solar cell applications," Optical Materials, vol. 84, pp. 195-198, 2018.
[5] W. Farooq, A. D. Khan, M. Khan, and J. Iqbal, "Enhancing the absorption and power conversion efficiency of organic solar cells," International journal of engineering works, vol. 6, pp. 94-97, 2019.
[6] S. Jamal, A. D. Khan, and A. D. Khan, "High performance perovskite solar cell based on efficient materials for electron and hole transport layers," Optik, p. 164787, 2020.
[7] W. Farooq, A. D. Khan, A. D. Khan, A. Rauf, S. D. Khan, H. Ali, et al., "Thin-Film Tandem Organic Solar Cells With Improved Efficiency," IEEE Access, vol. 8, pp. 74093-74100, 2020.
[8] F. E. Subhan, A. D. Khan, F. E. Hilal, A. D. Khan, S. D. Khan, R. Ullah, et al., "Efficient broadband light absorption in thin-film a-Si solar cell based on double sided hybrid bi-metallic nanogratings," RSC Advances, vol. 10, pp. 11836-11842, 2020.
[9] F. E. Subhan, A. D. Khan, A. D. Khan, N. Ullah, M. Imran, and M. Noman, "Optical optimization of double-side-textured monolithic perovskite–silicon tandem solar cells for improved light management," RSC Advances, vol. 10, pp. 26631-26638, 2020
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 384-389, October 2020
Reliability and long term performance of photovoltaic (PV) system is of vital importance in switching from conventional sources to sustainable one. Design, study and analysis of key components in a photovoltaic power system starting from generation of power to withstands number of climatic stresses and uninterrupted power supply plays a key role. One of the key elements in photovoltaic system is photovoltaic module. Also power generated in photovoltaic system is dependent on a source of energy that changes in every instant and with the passage of time during its operation .Hence it is paramount to build a long lasting photovoltaic module and analyze characteristics of the PV module under various conditions. This paper presents an efficient PV module based on PV equivalent circuit model using MATLAB/Simulink, and compared the simulated model results with manufacturer’s specifications like peak current, peak voltage, open circuit voltage and short circuit current .Also the performance of the module under variation of series resistance, irradiation, and temperature are analyzed. Data from five different areas across KP are noted and the results were Simulated and compared with the rated data.
Jawad Ahmad: MSc. Student EESE UET Peshawar
[1] I. Ulfat, F. Javed, F. A. Abbasi et al., “Estimation of solar energy potential for Islamabad, Pakistan,” Energy Procedia, vol. 18, pp.1496–1500, 2013.
[2] M. Ashraf Chaudhry, R. Raza, and S. A. Hayat, “Renewable energy technologies in Pakistan: prospects and challenges,” Renewable and Sustainable Energy Reviews, vol. 13, no. 6-7, pp. 1657–1662, 2009.
[3] Wohlgemuth, J. H., Cunningham, D. W., Nguyen, A. M., Miller, J., “Long Term Reliability of PV Modules,” Proceedings of the 20th European Photovoltaic Solar Energy Conference, Barcelona, Spain, 2005
[4] Pandiarajan N, Muthu R (2011) Mathematical modeling of photovoltaic module with Simulink. International Conference on Electrical Energy Systems (ICEES 2011), p 6
[5] Salmi T, Bouzguenda M, Gastli A, Masmoudi A (2012) Matlab/simulink based modelling of solar photovoltaic cell. Int J Renew Energy Res 2(2):6
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 379-383, October 2020
A field work was conducted to evaluate the response maize yield parameters to different inter row spacing and sowing methods in district Mardan of Khyber Pakhtunkhwa, Pakistan, in 2019. A Randomized Complete Block Design (RCBD) was used for setting the experiment. All the treatments were replicated three times in the experiment. Five treatments i.e. S1 (Flat sowing with inter row spacing 0.60 m), S2 (Ridge-Furrow sowing with inter row spacing 0.60 m), S3 (Ridge-Furrow sowing with inter row spacing 0.75 m), S4 (Bed sowing with inter row spacing 0.60 m, in two row sowing, bed width 0.60 m) and S5 (Bed sowing with row spacing 0.75 m, in two row sowing, bed width 0.60 m) were evaluated. After performing the statistical analysis of the recorded data, it was noted that flat treatment S1 produced statically significant (P<0.05) higher kernel number (4.74 × 107 ha-1). While S5 produced minimum (3.52 × 107 ha-1) kernel number. Statistically no difference was observed in kernel number for S2, S3 and S4. Similarly, no significant difference was examined for number of rows per ear, number of kernels per row and number of kernels per ear among the different sowing methods. Therefore, it was concluded that to maximize maize kernel number (yield) it is suggested to use the flat method of sowing keeping the inter row spacing 0.60 m.
[1] M. Zamir, G. Yasin, H. Javeed, A. Ahmad, A. Tanveer, and M. Yaseen, "Effect of different sowing techniques and mulches on the growth and yield behavior of spring planted maize (Zea mays L.)," Cercetari agronomice in Moldova, vol. 46, pp. 77-82, 2013.
[2] Y. Niu, L. Zhang, H. Zhang, W. Han, and X. Peng, "Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery," Remote Sensing, vol. 11, p. 1261, 2019.
[3] P. Ranum, J. P. Peña‐Rosas, and M. N. Garcia‐Casal, "Global maize production, utilization, and consumption," Annals of the New York Academy of Sciences, vol. 1312, pp. 105-112, 2014.
[4] Á. Kovács, "Modelling of maize plant by the discrete element method," 2019.
[5] S. A. Raza, Y. Ali, and F. Mehboob, "Role of agriculture in economic growth of Pakistan," International Research Journal of Finance and Economics, 2012.
[6] K. Jabran, A. Zahid, and M. Faroo, "Maize: cereal with a variety of uses," DAWN–Business. Available on the: http://wwwdawn. com/2007/03/12/ebr5. htm, 2007.
[7] M. Ayub, R. Ahmad, A. Tanveer, and I. Ahmad, "Fodder yield and quality of four cultivars of maize (Zea mays L.) under different methods of sowing," Pakistan Journal of Biological Sciences, vol. 1, pp. 232-234, 1998.
[8] A. Saberi, "Effects of Plant Density and Planting Patterns on Yield and Yield Components of Corn (Zea mays L.) HSC 704 Cultivar," Int J Clin Med Info, vol. 2, pp. 18-23, 2019.
[9] K. A. Gomez and A. A. Gomez, Statistical procedures for agricultural research. Philippines: John Wiley & Sons, 1984.
[10] M. Abuzar, G. Sadozai, M. Baloch, A. Baloch, I. Shah, T. Javaid, et al., "Effect of plant population densities on yield of maize," The Journal of Animal & Plant Sciences, vol. 21, pp. 692-695, 2011.
[11] A. Hashemi‐Dezfouli and S. Herbert, "Intensifying plant density response of corn with artificial shade," Agronomy Journal, vol. 84, pp. 547-551, 1992.
[12] J. Bakht, M. F. Siddique, M. Shafi, H. Akbar, M. Tariq, N. Khan, et al., "Effect of planting methods and nitrogen levels on the yield and yield components of maize," Sarhad Journal of Agriculture, vol. 23, p. 553, 2007.
[13] W. D. Widdicombe and K. D. Thelen, "Row width and plant density effects on corn grain production in the northern Corn Belt," Agronomy Journal, vol. 94, pp. 1020-1023, 2002
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 375-378, October 2020
Efficiency and stability are the main challenges of organic solar cells. In this research novel structure is investigated for organic solar cell which has improved efficiency and improved stability. Blend of PTB7 and PCBM elements was used for the active layer of cell. Thickness of this layer was varied from 80nm to 200nm and selected the optimized thickness of 90nm. On which the cell has maximum efficiency of 12.24 %. The influence of window layer material such as Zinc oxide (ZnO) and titanium dioxide (TiO2) with various electrode materials including Indium tin oxide (ITO), Fluorine tin oxide (FTO), aluminum (Al) Silver (Ag) and Gold (Au) with different combinations have been investigated with the objective to enhance the absorption and PCE of the cell. Also varied the thicknesses of these different layers and selected the optimized thickness on which the cell had maximum efficiency. The structure of the proposed scheme was observed with ITO/Al as top and bottom electrode with thicknesses of 125nm and 100nm respectively and found that this holds the highest performance parameters including Jsc=0.130(mA/m2), Voc= 1 (V), FF=94.1% and ƞ=12.24% respectively as compared to different electrode combination and window layers with the same photoactive absorber material PTB7: PCBM. This indicates that the proposed structure can be a good choice for replacing less efficient in-organic cell.
Muhammad Zeeshan: Department of Electrical Engineering, University of Engineering and Technology Peshawar
[1] Goetzberger, A., J. Luther, and G. Willeke, Solar cells: past, present, future. Solar energy materials and solar cells, 2002. 74(1-4): p. 1-11.
[2] Bagher, A.M., Comparison of organic solar cells and inorganic solar cells. International Journal of Renewable and Sustainable Energy, 2014. 3(3): p. 53-58.
[3] Goetzberger, A., J. Knobloch, and B. Voss, Crystalline silicon solar cells. New York, 1998: p. 114-118.
[4] Green, M.A., Corrigendum to ‘Solar cell efficiency tables (version 46)’[Prog. Photovolt: Res. Appl. 2015; 23: 805–812]. Progress in Photovoltaics: Research and Applications, 2015. 23(9): p. 1202-1202.
[5] Sahare, S.A., Enhancing the Photovoltaic Efficiency of a Bulk Heterojunction Organic Solar Cell. 2016.
[6] Winder, C., et al., Sensitization of low bandgap polymer bulk heterojunction solar cells. Thin Solid Films, 2002. 403: p. 373-379.
[7] Zhang, F., et al., High photovoltage achieved in low band gap polymer solar cells by adjusting energy levels of a polymer with the LUMOs of fullerene derivatives. Journal of Materials Chemistry, 2008. 18(45): p. 5468-5474.
[8] Tang, C.W., Two‐layer organic photovoltaic cell. Applied physics letters, 1986. 48(2): p. 183-185.
[9] 松本真哉, et al., 真空蒸着膜におけるビスアゾメチン色素の J 会合体. 色材協会誌, 2006. 79(11): p. 503-510.
[10] Peet, J., et al., Efficiency enhancement in low-bandgap polymer solar cells by processing with alkane dithiols. Nature materials, 2007. 6(7): p. 497-500.
[11] Schlenker, C.W. and M.E. Thompson, The molecular nature of photovoltage losses in organic solar cells. Chemical Communications, 2011. 47(13): p. 3702-3716.
[12] Chen, C.-C., et al., Visibly transparent polymer solar cells produced by solution processing. ACS nano, 2012. 6(8): p. 7185-7190.
[13] Li, J. and N. Wu, Semiconductor-based photocatalysts and photoelectrochemical cells for solar fuel generation: a review. Catalysis Science & Technology, 2015. 5(3): p. 1360-1384.
[14] Verploegen, E., et al., Manipulating the morphology of P3HT–PCBM bulk heterojunction blends with solvent vapor annealing. Chemistry of Materials, 2012. 24(20): p. 3923-3931.
[15] Jørgensen, M., et al., Stability of polymer solar cells. Advanced materials, 2012. 24(5): p. 580-612.
[16] Zhao, J., et al., Phase diagram of P3HT/PCBM blends and its implication for the stability of morphology. The Journal of Physical Chemistry B, 2009. 113(6): p. 1587-1591.
[17] Ouyang, J., Solution-processed PEDOT: PSS films with conductivities as indium tin oxide through a treatment with mild and weak organic acids. ACS applied materials & interfaces, 2013. 5(24): p. 13082-13088.
[18] Lipomi, D.J., et al., Electronic properties of transparent conductive films of PEDOT: PSS on stretchable substrates. Chemistry of Materials, 2012. 24(2): p. 373-382.
[19] Lang, U., N. Naujoks, and J. Dual, Mechanical characterization of PEDOT: PSS thin films. Synthetic Metals, 2009. 159(5-6): p. 473-479.
[20] Burgelman, M., et al., Modeling thin‐film PV devices. Progress in Photovoltaics: Research and Applications, 2004. 12(2‐3): p. 143-153.
[21] Farooq, W., et al., Enhancing the absorption and power conversion efficiency of organic solar cells. International journal of engineering works, 2019. 6: p. 94-97.
[22] MacKenzie, R.C., et al., Modeling nongeminate recombination in P3HT: PCBM solar cells. The Journal of Physical Chemistry C, 2011. 115(19): p. 9806-9813.
[23] Hanfland, R., et al., The physical meaning of charge extraction by linearly increasing voltage transients from organic solar cells. Applied Physics Letters, 2013. 103(6): p. 063904.
[24] Deschler, F., et al., Increasing organic solar cell efficiency with polymer interlayers. Physical Chemistry Chemical Physics, 2013. 15(3): p. 764-769.
[25] MacKenzie, R.C., et al., Extracting microscopic device parameters from transient photocurrent measurements of P3HT: PCBM solar cells. Advanced Energy Materials, 2012. 2(6): p. 662-669.
[26] Koster, L.J.A., et al. Performance enhancement of poly (3-hexylthiophene): methanofullerene bulk-heterojunction solar cells. in Organic Photovoltaics VII. 2006. International Society for Optics and Photonics.
[27] Koster, L., V. Mihailetchi, and P. Blom, Ultimate efficiency of polymer/fullerene bulk heterojunction solar cells. Applied Physics Letters, 2006. 88(9): p. 093511.
[28] Apaydın, D.H., et al., Optimizing the organic solar cell efficiency: role of the active layer thickness. Solar energy materials and solar cells, 2013. 113: p. 100-105.
[29] Hanna, M. and A. Nozik, Solar conversion efficiency of photovoltaic and photoelectrolysis cells with carrier multiplication absorbers. Journal of Applied Physics, 2006. 100(7): p. 074510.
[30] Fabiano, S., et al., Role of photoactive layer morphology in high fill factor all-polymer bulk heterojunction solar cells. Journal of Materials Chemistry, 2011. 21(16): p. 5891-5896.
[31] Vandewal, K., et al., The relation between open‐circuit voltage and the onset of photocurrent generation by charge‐transfer absorption in polymer: fullerene bulk heterojunction solar cells. Advanced Functional Materials, 2008. 18(14): p. 2064-2070.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 369-374, October 2020
Oil reclamation is a transformer insulation reconditioning technique which may be used as on-line or off-line. However, there is a need of evidence showing the effect of this process on conditions of the paper insulation, which indeed affects the life span of a transformer. This research work focuses on oil reclamation experiment on an old retired distribution transformer. Electrical testing and post-mortem analysis of the transformer were conducted, aimed at investigating the design aspects and collecting information on the insulation conditions prior to the oil reclamation. Temperature and moisture sensors were installed to monitor the conditions within the transformer during the oil reclamation [2]. The experimental process of transformer Oil reclamation was performed into two phases, with regular oil sampling to analyze the changes in key oil parameters, namely acidity number (AN), moisture and breakdown voltage (BV). This was accompanied by paper sampling at the end of each reclamation cycle to study the effects of oil reclamation on properties, particularly moisture, LMA and degree of polymerization. The transformer which was used for the entire experimental process was about 45 years old, 200kVA, 1100 / 415-240V distribution transformer. In order to study the long-term effect of oil reclamation, oil samples were collected from an on-site reclamation exercise performed in a laboratory-accelerated thermal ageing experiment. Oil samples collected before and after the reclamation were aged alongside new oils for comparison [4]. Through the regular monitoring and measurement of oil parameters (AN, moisture and BD strength) over 144 hours and paper parameters (LMA, moisture and DP) at specific stages of phase 1, it was observed that the transformer oil-paper insulation system was significantly improved.
The entire research work was performed into two phases (phase 1 and phase 2). The “phase 1” was aimed to improve and restore the oil parameters comparable to the parameters of new oil as specified in “IEC-60296” and its effect on the paper insulation. “Phase 2” was aimed to compare the life span of reclaimed oil filled transformer with the transformer in which aged oil has been replaced by new oil[6]. Effective study of oil reclamation was analyzed through laboratory accelerated aging experiment and real time application on a 45 years old transformer. Through the regular monitoring and measurement of oil parameters (AN, moisture and BD strength) over 144 hours and paper parameters (LMA, moisture and DP) at specific stages of phase1, it was observed that the transformer oil-paper insulation system was significantly improved [15].
Yasir Khan: Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan
Muhammad Iftikhar Khan: Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan
[1] A. J. Kachler and I. Hohlein, "Aging of cellulose at transformer service temperatures. Part 1: Influence of type of oil and air on the degree of polymerization of pressboard, dissolved gases, and furanic compounds in oil," IEEE Electrical Insulation Magazine, vol. 21, pp. 15-21, 2005.
[2] J. Schneider, A. J. Gaul, C. Neumann, J. Hogräfer, W. Wellßow, M. Schwan, and A. Schnettler, "Asset management techniques," International Journal of Electrical Power & Energy Systems, vol. 28, pp. 643-654, 2006.
[3] A. Jahromi, R. Piercy, S. Cress, J. Service, and W. Fan, "An approach to power transformer asset management using health index," IEEE Electrical Insulation Magazine, vol. 25, pp. 20-34, 2009.
[4] D. F. García, B. Garcia, and J. C. Burgos, "Modeling power transformer field drying processes," Drying Technology, vol. 29, pp. 896-909, 2011.
[5] J. Almendros-Ibaez, J. C. Burgos, and B. Garcia, "Transformer field drying procedures: a theoretical analysis," IEEE Transactions on Power Delivery, vol. 24, pp. 1978-1986, 2009.
[6] Q. L. N. Azis, Z.D. Wang, D. Jones, B. Wells ,G.M. Wallwork, "Experience of Oil Re-generation on a 132 kV Distribution Transformer," presented at the International Conference on Condition Monitoring and Diagnosis (CMD), 2014.
[7] W. G. A.-. (Declerq), "“Thermal performance of Transformers”, Technical brochure No 393," CIGRE, 2010.
[8] P. Jarman, Z. Wang, Q. Zhong, and T. Ishak, "End-of-life modelling for power transformers in aged power system networks," in CIGRE 6th Southern Africa regional conference, 2009.
[9] B. Pahlavanpour, R. Linaker, and E. Povazan, "Extension of life span of power transformer by on-site improvement of insulating oils," in 6th International Conference on Dielectric Materials, Measurements and Applications, 1992, pp. 260-263.
[10] T. Rouse, "Mineral insulating oil in transformers," IEEE Electrical Insulation Magazine, vol. 14, pp. 6-16, 1998.
[11] P. Hodges, Hydraulic fluids: Butterworth-Heinemann, 1996.
[12] M. Heathcote, J & P transformer book: Newnes, 2011.
[13] A. Emsley and G. Stevens, "Review of chemical indicators of degradation of cellulosic electrical paper insulation in oil-filled transformers," IEE Proceedings - Science, Measurement and Technology, vol. 141, pp. 324-334, 1994.
[14] L. E. Lundgaard, W. Hansen, D. Linhjell, and T. J. Painter, "Aging of oil-impregnated paper in power transformers," IEEE Transactions on Power Delivery, vol. 19, pp. 230-239, 2004.
[15] E. Brancato, "Insulation aging a historical and critical review," IEEE Transactions on Electrical Insulation, pp. 308-317, 1978.
[16] A. White, "The desired properties and their effect on the life history of insulating papers used in a fluid-filled power transformer," in IEE Colloquium on Assessment of Degradation Within Transformer Insulation Systems, 1991, pp. 4/1-4/4
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 361-368, October 2020
In this research paper design, analysis and comparison of single stage and two stages Photovoltaic inverter connected to weak grid system is executed in terms of their maximum power point tracking, DC link voltage regulation, power factor and overall efficiency. Majority of the commercial and industrial loads are inductive in nature and result in a very low lagging power factor. However renewable energy sources have no reactive power generation and lagging power factor results in a weak grid system. For this purpose control mechanism comprises of three objectives is proposed in this research paper. These objectives are to obtain highest amount of power from photovoltaic array, the power must be deliver from photovoltaic array into the utility grid at unity power factor and to maintain desired voltage at the input of the inverter. In order to achieve these objectives nonlinear control mechanism of Photovoltaic inverter connected to weak grid system is established and implemented based on accurate mathematical modeling and by using Backstepping technique and Lyapunov Stability analysis. PI controller is used for the purpose to maintain desired voltage at input of the inverter according to the requirement of inverter. Both single stage and two stage models are developed and simulated in Simulink/Matlab environment.
Naveed Malik: Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy(USPCAS-E), UET, Peshawar
Sami Ullah: Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy(USPCAS-E), UET, Peshawar
Amir Khan: Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy(USPCAS-E), UET, Peshawar
Farhan Ullah: Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy(USPCAS-E), UET, Peshawar
D. Poponi, “Analysis of diffusion paths for photovoltaic technology based on experience curves,” Sol. Energy, vol. 74, no. 4, pp. 331–340, Apr. 2003, doi: 10.1016/S0038-092X(03)00151-8.
[2] Fangrui Liu, Yong Kang, Yu Zhang, and Shanxu Duan, “Comparison of P&O and hill climbing MPPT methods for grid-connected PV converter,” in 2008 3rd IEEE Conference on Industrial Electronics and Applications, Singapore, Jun. 2008, pp. 804–807, doi: 10.1109/ICIEA.2008.4582626.
[3] N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “Optimization of Perturb and Observe Maximum Power Point Tracking Method,” IEEE Trans. Power Electron., vol. 20, no. 4, pp. 963–973, Jul. 2005, doi: 10.1109/TPEL.2005.850975.
[4] B. M. T. Ho and H. S.-H. Chung, “An Integrated Inverter With Maximum Power Tracking for Grid-Connected PV Systems,” IEEE Trans. Power Electron., vol. 20, no. 4, pp. 953–962, Jul. 2005, doi: 10.1109/TPEL.2005.850906.
[5] Bo Yang, Wuhua Li, Yi Zhao, and Xiangning He, “Design and Analysis of a Grid-Connected Photovoltaic Power System,” IEEE Trans. Power Electron., vol. 25, no. 4, pp. 992–1000, Apr. 2010, doi: 10.1109/TPEL.2009.2036432.
[6] Yeong-Chau Kuo, Tsorng-Juu Liang, and Jiann-Fuh Chen, “Novel maximum-power-point-tracking controller for photovoltaic energy conversion system,” IEEE Trans. Ind. Electron., vol. 48, no. 3, pp. 594–601, Jun. 2001, doi: 10.1109/41.925586.
[7] A. Koran, K. Sano, and R.-Y. Kim, “Design of a Photovoltaic Simulator with a Novel Reference Signal Generator and Two-Stage LC Output Filter,” p. 8.
[8] D. Casadei, G. Grandi, and C. Rossi, “Single-Phase Single-Stage Photovoltaic Generation System Based on a Ripple Correlation Control Maximum Power Point Tracking,” IEEE Trans. Energy Convers., vol. 21, no. 2, pp. 562–568, Jun. 2006, doi: 10.1109/TEC.2005.853784.
[9] Y. Huang, M. Shen, F. Z. Peng, and J. Wang, “$Z$-Source Inverter for Residential Photovoltaic Systems,” IEEE Trans. Power Electron., vol. 21, no. 6, pp. 1776–1782, Nov. 2006, doi: 10.1109/TPEL.2006.882913.
[10] S. B. Kjaer, J. K. Pedersen, and F. Blaabjerg, “A Review of Single-Phase Grid-Connected Inverters for Photovoltaic Modules,” IEEE Trans. Ind. Appl., vol. 41, no. 5, pp. 1292–1306, Sep. 2005, doi: 10.1109/TIA.2005.853371.
[11] V. Ravindran, S. K. Ronnberg, T. Busatto, and M. H. J. Bollen, “Inspection of interharmonic emissions from a grid-tied PV inverter in North Sweden,” in 2018 18th International Conference on Harmonics and Quality of Power (ICHQP), Ljubljana, May 2018, pp. 1–6, doi: 10.1109/ICHQP.2018.8378887.
[12] B. N. Alajmi, K. H. Ahmed, G. P. Adam, and B. W. Williams, “Single-Phase Single-Stage Transformer less Grid-Connected PV System,” IEEE Trans. Power Electron., vol. 28, no. 6, pp. 2664–2676, Jun. 2013, doi: 10.1109/TPEL.2012.2228280.
[13] L. Chen, A. Amirahmadi, Q. Zhang, N. Kutkut, and I. Batarseh, “Design and Implementation of Three-Phase Two-Stage Grid-Connected Module Integrated Converter,” IEEE Trans. Power Electron., vol. 29, no. 8, pp. 3881–3892, Aug. 2014, doi: 10.1109/TPEL.2013.2294933.
[14] H. Hu, S. Harb, N. H. Kutkut, Z. J. Shen, and I. Batarseh, “A Single-Stage Microinverter Without Using Eletrolytic Capacitors,” IEEE Trans. Power Electron., vol. 28, no. 6, pp. 2677–2687, Jun. 2013, doi: 10.1109/TPEL.2012.2224886.
[15] N. Sukesh, M. Pahlevaninezhad, and P. K. Jain, “Analysis and Implementation of a Single-Stage Flyback PV Microinverter With Soft Switching,” IEEE Trans. Ind. Electron., vol. 61, no. 4, pp. 1819–1833, Apr. 2014, doi: 10.1109/TIE.2013.2263778.
[16] Y.-H. Kim, Y.-H. Ji, J.-G. Kim, Y.-C. Jung, and C.-Y. Won, “A New Control Strategy for Improving Weighted Efficiency in Photovoltaic AC Module-Type Interleaved Flyback Inverters,” IEEE Trans. Power Electron., vol. 28, no. 6, pp. 2688–2699, Jun. 2013, doi: 10.1109/TPEL.2012.2226753.
[17] C. Meza, D. Biel, D. Jeltsema, and J. M. A. Scherpen, “Lyapunov-Based Control Scheme for Single-Phase Grid-Connected PV Central Inverters,” IEEE Trans. Control Syst. Technol., vol. 20, no. 2, pp. 520–529, Mar. 2012, doi: 10.1109/TCST.2011.2114348.
[18] F. Blaabjerg, R. Teodorescu, M. Liserre, and A. V. Timbus, “Overview of Control and Grid Synchronization for Distributed Power Generation Systems,” IEEE Trans. Ind. Electron., vol. 53, no. 5, pp. 1398–1409, Oct. 2006, doi: 10.1109/TIE.2006.881997.
[19] J. He and Y. W. Li, “Generalized Closed-Loop Control Schemes with Embedded Virtual Impedances for Voltage Source Converters with LC or LCL Filters,” IEEE Trans. Power Electron., vol. 27, no. 4, pp. 1850–1861, Apr. 2012, doi: 10.1109/TPEL.2011.2168427.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 356-360, October 2020
This paper present a method for detecting collision occurs in the robot manipulator and reacting according to collision direction. An experiment was conducted to read the joints speed during collision of the UR3 robot at static position, where the joints speeds are supposed to be zero. The experiment showed that when collision occurs within the manipulator there is oscillatory speed produced in joints, which is suggested to be duo to the stiffness of the harmonic drive. The harmonic drive is a flexible transmission generates stiffness behavior, as a spring, between the motor and the link. The collision is determined from the oscillatory speed produced in robot joints at static position. The method successfully identified the collision impact at joints, and reacted according to the collision direction. The experimental setup and the results are presented in this paper.
Omar Abdelaziz: Hefei Institute of Physical Science, Chinese Academy of Science, Hefei 230031, China, University of Science and Technology of China, Hefei, Egyptian Russian University, Egypt, Institute of Intelligent Manufacturing Technology, Jiangsu Industrial Technology Research Institute, Nanjing, 211800, China.
Minzhou Luo: University of Science and Technology of China, Hefei, Institute of Intelligent Manufacturing Technology, Jiangsu Industrial Technology Research Institute, Nanjing, 211800, China.
[1] I. Maurtua, A. Ibarguren, J. Kildal, L. Susperregi, and B. Sierra, “Human-robot collaboration in industrial applications: Safety, interaction and trust,” Int. J. Adv. Robot. Syst., vol. 14, no. 4, pp. 1–10, 2017.
[2] P. A. Lasota, T. Fong, and J. A. Shah, “A Survey of Methods for Safe Human-Robot Interaction,” Found. Trends Robot., vol. 5, no. 3, pp. 261–349, 2017.
[3] S. Haddadin, A. Albu-Schäffer, A. De Luca, and G. Hirzinger, “Collision detection and reaction: A contribution to safe physical human-robot interaction,” in 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 2008, pp. 3356–3363.
[4] O. Abdelaziz, M. Luo, G. Jiang, and S. Chen, “Adaptive threshold for robot manipulator collision detection using fuzzy system,” SN Appl. Sci., vol. 2, no. 3, p. 319, Mar. 2020.
[5] X. Lamy, F. Colledani, F. Geffard, Y. Measson, and G. Morel, “Achieving efficient and stable comanipulation through adaptation to changes in human arm impedance,” in Proceedings - IEEE International Conference on Robotics and Automation, 2009, pp. 265–271.
[6] D. J. Braun et al., “Robots driven by compliant actuators: Optimal control under actuation constraints,” IEEE Trans. Robot., vol. 29, no. 5, pp. 1085–1101, Oct. 2013.
[7] S. Lu, J. H. Chung, and S. A. Velinsky, “Human-robot collision detection and identification based on wrist and base force/torque sensors,” in Proceedings - IEEE International Conference on Robotics and Automation, 2005, vol. 2005, pp. 3796–3801.
[8] O. Sim, J. Oh, K. K. Lee, and J. H. Oh, “Collision Detection and Safe Reaction Algorithm for Non-backdrivable Manipulator with Single Force/Torque Sensor,” Journal of Intelligent and Robotic Systems: Theory and Applications, Springer Netherlands, pp. 1–10, 13-Oct-2017.
[9] M. Fritzsche, N. Elkmann, and E. Schulenburg, “Tactile Sensing : A Key Technology for Safe Physical Human Robot Interaction,” in Proceedings of the 6th international conference on Human-robot interaction, 2011, pp. 139–140.
[10] C. Bartolozzi, L. Natale, F. Nori, and G. Metta, “Robots with a sense of touch,” Nature Materials, vol. 15, no. 9. Springer Nature, pp. 921–925, 01-Sep-2016.
[11] J. Ulmen and M. Cutkosky, “A robust, low-cost and low-noise artificial skin for human-friendly robots,” in Proceedings - IEEE International Conference on Robotics and Automation, 2010, pp. 4836–4841.
[12] S. D. Lee, M. C. Kim, and J. B. Song, “Sensorless collision detection for safe human-robot collaboration,” in IEEE International Conference on Intelligent Robots and Systems, 2015, pp. 2392–2397.
[13] A. De Luca and R. Mattone, “Sensorless robot collision detection and hybrid force/motion control,” in Proceedings - IEEE International Conference on Robotics and Automation, 2005, no. April, pp. 999–1004.
[14] S. Chen, M. Luo, O. Abdelaziz, and G. Jiang, “A general analytical algorithm for collaborative robot (cobot) with 6 degree of freedom (DOF),” in Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017, 2017, pp. 698–701.
[15] R. Cortesao, C. Sousa, and P. Queiros, “Active impedance control design for human-robot comanipulation,” in American Control Conference, 2010, pp. 2805–2810.
[16] S. Haddadin, “Towards Safe Robots: Approaching Asimov’s 1st Law,” Springer Tracts Adv. Robot., pp. 1–352, 2011.
[17] S. Chen, M. Luo, G. Jiang, and O. Abdelaziz, “Collaborative robot zero moment control for direct teaching based on self-measured gravity and friction,” Int. J. Adv. Robot. Syst., vol. 15, no. 6, 2018.
[18] H. D. Taghirad and P. R. Belanger, “An experimental study on modelling and identification of harmonic drive systems,” in Proceedings of 35th IEEE Conference on Decision and Control, 1996, pp. 4725–4730.
[19] Universal Robots, “UR3 Robot,” 2017. [Online]. Available: https://www.universal-robots.com/products/ur3-robot/. [Accessed: 14-May-2018].
[20] O. Abdelaziz, M. Luo, G. Jiang, and S. Chen, “Multiple configurations for puncturing robot positioning,” International Journal of Advance Robotics & Expert Systems (JARES), 06-Mar-2019. [Online]. Available: https://airccse.com/jares/papers/1419jares01.pdf. [Accessed: 01-Feb-2020].
[21] G. Jiang, M. Luo, L. Lu, K. Bai, O. Abdelaziz, and S. Chen, “Vision solution for an assisted puncture robotics system positioning,” Appl. Opt., vol. 57, no. 28, p. 8385, Oct. 2018.
[22] A. De Luca and W. J. Book, “Robots with Flexible Elements,” in Springer Handbook of Robotics, Berlin, Heidelberg: Springer Berlin Heidelberg, 2016, pp. 243–282.
[23] M. W. Spong, “Modeling and Control of Elastic Joint Robots,” J. Dyn. Syst. Meas. Control, vol. 109, no. 4, p. 310, Dec. 1987.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 350-355, October 2020
The research has been lead relating the use of carbon fibre-reinforced polymer (CFRP) sheets in retrofitting and strengthening of the reinforced concrete member. The present research was conducted by using the epoxy to reinforced concrete beams retrofitted and strengthened for flexural strength by using CFRP sheet. The selected cross-section of the beam having 2400 mm length with 150 mm width and 225 mm height and the beam tension reinforcement on the bottom was set on 2#4bar@1.5" with the 38.1 mm clear cover was set to the main flexural reinforcement. The studied beam was focused on flexural behaviour. The experimental study has shown that while the using of CFRP with epoxy will improve the rigidity and durability of the concrete beam. Their great deformability greatly improves the seismic properties of the beam structures. Under the reinforced RC beams showed a very large deflection by control beam before their failure. By using CFRP externally the rigidity of retrofitted and strengthened beams can be improved.
Ismail Shah: School of Architecture and Civil Engineering, Yunnan Agricultural University, 650000, Kunming China.
Li Jing: School of Architecture and Civil Engineering, Yunnan Agricultural University, 650000, Kunming China.
Shahid Ayaz: MSCE scholar, Department of Civil Engineering, Abasyn University, Peshawar Pakistan.
Waqas Ali: US-Pakistan Center for Advanced Study in Energy, National University of Science and Technology, Islamabad, Pakistan.
Abdullah: Department of Civil Engineering, Sarhad University of Science & Information Technology, Peshawar Pakistan.
Nauman Khan: School of Civil Engineering, Zhenjiang, Jiangsu University of Science and Technology Jiangsu China.
[1] Ismail, N. and N. Khattak, Building typologies prevalent in Northern Pakistan and their performance during the 2015 Hindu Kush Earthquake. Earthquake Spectra, 2016. 32(4): p. 2473-2493.
[2] Peiris, N., et al., Mission: October 8 2005 Kashmir earthquake, preliminary report. 2006.
[3] Peiris, N., et al., EEFIT mission: October 8, 2005 Kashmir earthquake. Published Report, The institution of structural engineers, London, 2006.
[4] Karzad, A.S., et al. Repair of reinforced concrete beams using carbon fiber reinforced polymer. in MATEC Web of Conferences. 2017. EDP Sciences.
[5] Toutanji, H., L. Zhao, and Y. Zhang, Flexural behavior of reinforced concrete beams externally strengthened with CFRP sheets bonded with an inorganic matrix. Engineering structures, 2006. 28(4): p. 557-566.
[6] Yang, D.-S. and S.-K. Park, An experimental study on the flexural behavior of RC beams with cementitious repair materials. KSCE Journal of Civil Engineering, 2002. 6(1): p. 11-17.
[7] Kachlakev, D. and D. McCurry, Behavior of full-scale reinforced concrete beams retrofitted for shear and flexural with FRP laminates. Composites Part B: Engineering, 2000. 31(6-7): p. 445-452.
[8] Khalifa, A. and A. Nanni, Rehabilitation of rectangular simply supported RC beams with shear deficiencies using CFRP composites. Construction and building materials, 2002. 16(3): p. 135-146.
[9] Shehata, I., E. Cerqueira, and C. Pinto. Strengthening of RC beams in flexure and shear using. in FRPRCS-5: Fibre-reinforced Plastics for Reinforced Concrete Structures: Proceedings of the Fifth International Conference on Fibre-Reinforced Plastics for Reinforced Concrete Structures, Cambridge, UK, 16-18 July 2001. 2001. Thomas Telford.
[10] Khalifa, A., et al. Shear strengthening of continuous RC beams using externally bonded CFRP sheets. in American Concrete Institute, Proc., 4th International Symposium on FRP for Reinforcement of Concrete Structures (FRPRCS4), Baltimore, MD. 1999. Citeseer.
[11] David, E., C. Djelal, and F. Buyle-Bodin, Repair and strengthening of reinforced concrete beams using composite materials. 2nd international PhD Symposiumin civil engineering, Budapest, 1998: p. 23-34.
[12] Shahawy, M., et al., Reinforced concrete rectangular beams strengthened with CFRP laminates. Composites Part B: Engineering, 1996. 27(3-4): p. 225-233.
[13] Ferreira, A., On the shear-deformation theories for the analysis of concrete shells reinforced with external composite laminates. Strength of materials, 2003. 35(2): p. 128-135.
[14] Wenwei, W. and L. Guo, Experimental study and analysis of RC beams strengthened with CFRP laminates under sustaining load. International Journal of Solids and Structures, 2006. 43(6): p. 1372-1387.
[15] Grace, N., et al., Strengthening of continuous beams using fiber reinforced polymer laminates. Special Publication, 1999. 188: p. 647-658.
[16] Aiello, M., L. Valente, and A. Rizzo, Moment redistribution in continuous reinforced concrete beams strengthened with carbon-fiber-reinforced polymer laminates. Mechanics of composite materials, 2007. 43(5): p. 453-466.
[17] Pellegrino, C. and M. Vasic, Assessment of design procedures for the use of externally bonded FRP composites in shear strengthening of reinforced concrete beams. Composites Part B: Engineering, 2013. 45(1): p. 727-741.
[18] 440, A.C.I.C. Guide for the Design and Construction of Externally Bonded FRP Systems for Strengthening Concrete Structures: ACI 440.2 R-08. 2008. American Concrete Institute.
[19] Adsam Gideon, D. and P. Alagusundaramoorthy, Flexural retrofit of RC beams using CFRP laminates. MS&E, 2018. 431(7): p. 072006.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 342-349, October 2020
Transportation plays an essential role in our everyday lives. Transportation planners often looking for systems that are efficient, reliable, and safe. One of the most significant factors in road accidents and public safety is the behavior of drivers. The Driver Behavior Questionnaire (DBQ) has not been used in Peshawar to find driver behavior. The dream of a secure and effective transportation network seems to exacerbate these conditions. The complete DBQ method is essential to find the effectiveness of the DBQ. The Driver Behavior Questionnaire (DBQ) was split into four separate sections. There were three major categories of driver behavior: mistakes, slips and lapses, violations, and unintentional violations. The respondents had to rate themselves on a scale of 1 to 3, how good they think they are, how healthy they think they are. The report concludes with a list of recommendations on how drivers can improve their behavior. Survey was performed at colleges and public buildings in parking lots. Drivers were questioned directly in the parking lot. 250 questionnaires were filled out in total. Statistical Package for Social Sciences (SPSS) was mainly used for the analysis of the data. Almost 64% of people do not have a driving license. 62% consider the process of getting a license difficult while 29% consider it of no use, and they believe they do not need it. Drivers with no driving license do more speeding than those who have a license. Most of the respondents were of the opinion to have strict enforcement of traffic rules, mandatory training before issuing a driving license.
Wajidullah: National Institute of Urban Infrastructure Planning, University of Engineering & Technology Peshawar
Safiullah: National Institute of Urban Infrastructure Planning, University of Engineering & Technology Peshawar
Muhmmad Adil Khan:National Institute of Urban Infrastructure Planning, University of Engineering & Technology Peshawar
[1] Bener, A., Ozkan, T., & Lajunen, T. (2008). The Driver Behaviour Questionnaire in Arab Gulf Countries: Qatar and United Arab Emirates. Accident Analysis and Prevention, 1411-1417.
[2] Hartley, P. N. (1995). Aberrant driving behaviour: errors and violations. Ergonomics, VOL. 38(NO. 09), 1759-1771.
[3] NHTSA, N. (2013). Traffic Safety Facts. Washington, DC 20590: National Center for Statistics and Analysis, U.S. Department of Transportation.
[4] Reason, J., Manstead, A., Stradling, S., Baxter, J., & Campbell, K. (1990). Errors and violations on the roads: a real distintion? Ergonomics, 33, 1315-1332.
[5] Rescue 1122, P. (2011, March Saturday). Performance of Rescue 1122. Retrieved from Punjab Emergency Service: http://www.rescue.gov.pk/Performance.aspx
[6] WHO. (2013). Global status report on road safety. WHO.
[7] Winter, J. d., & Dodou, D. (2010). The Driver Behaviour Questionnaire as a predictor of accidents: A meta-analysis. Journal of Safety Research, 463-470.
[8] Zia, A. (2013, January Sunday). KP & Fata. Retrieved from The Express Tribune: http://tribune.com.pk/story/493217/rescue-1122-registers-busy-year-as-violence-soars/
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 338-341, October 2020
The Hydraulic conductivity (K) of soil, is an important parameter that is used to predict the movement of water and the dissolved contaminants, if any, through it. It can be determined through different in-situ and lab methods; however, it can also be determined easily, using the PSD models or empirical equations developed for this purpose. These equations specifically utilize the particle size distribution (PSD) data of the soil, as movement of water, and hence the hydraulic conductivity depends upon the types and sizes of the soil particles. Most of these equations have been developed for the coarse-grained soil only like the sand and gravel, and some of them only consider the fine-textured soil. In actual condition, soil is not present only as the sand or gravel or as fine-textured only but is the combination of three important particles, which are sand, silt, and clay, due to which the permeability of the soil is affected. This research work is based on the hypothesis that the formulas developed for the estimation of K, the hydraulic conductivity of the soil, may not work properly due to the presence of other particles. For this, different empirical models were considered for only four textural classes of the soil i.e., sand, loamy sand, sandy loam, and silt loam. It was found that as the number of fine particles increases in the sand the formulas do not give a good estimate of the K value.
[1] Gijsman, A.J., Jagtap, S.S., Jones, J.W. (2002). “Wading through a swamp of complete confusion: How to choose a method for estimating soil water retention parameters for crop models”. European Journal of Agronomy, 18(1–2), 77–106.
[2] Craig, R.F., Knappett, J.A. (2012). Craig’s Soil Mechanics. 8th ed. London: Spon Press, 3-38.
[3] Petrich, C., Langhorne, P.J., Sun, Z.F. (2006). “Modelling the interrelationships between permeability, effective porosity and total porosity in sea ice”. Cold Regions Science and Technology, 44(2), 131–144.
[4] Jarvis, N.J., Hollis, J.M., Nicholls, P.H., Mayr, T., Evans, S.P. (1997). “MACRO - DB: A decision-support tool for assessing pesticide fate and mobility in soils”. Environmental Modelling and Software, 12(2–3), 251–265.
[5] Tietje, O., Hennings, V. (1996). “Accuracy of the saturated hydraulic conductivity prediction by pedo-transfer functions compared to the variability within FAO textural classes”. Geoderma, 69(1–2), 71–84.
[6] Schwartz, F.W., and Zhang, H. (2004). Fundamentals of groundwater Singapore: John Wiley & Sons, 42-68.
[7] Schaap, M. and Leij, F.J. (1998). “Using neural networks to predict soil water retention and soil hydraulic conductivity”. Soil and Tillage Research, 47(1–2), 37–42.
[8] Blott, S.J., and Pye, K. (2001). “GRADISTAT: A grain size distribution and statistics package for the analysis of unconsolidated sediment”. Earth Surf. Process. Landforms 26, 1237–1248
[9] Alyamani, M.S. and Sen, Z. (1993). “Determination of hydraulic conductivity from complete grain-size distribution curves”. Ground Water, 31(4), 551–555.
[10] Salarashayeri, A.F., and Siosemarde, M. (2012). “Prediction of soil hydraulic conductivity from particle-size distribution”. World Academy of Science, Engineering and Technology, 6(1), 394-399.
[11] Gupta, S.C., and Larson, W.E. (2007). “Estimating Soil water retention characteristics from particle size distribution, organic matter content and bulk density”. Water Resources Research, 15(6), 1–3.
[12] Hwang, S. (2004). “Effect of texture on the performance of soil particle-size distribution models”. Geoderma, 123(3–4), 363–371.
[13] Sezer, A., Göktepe, A.B., and Altun, S. (2009). “Estimation of the permeability of granular soils using neuro-fuzzy system”. CEUR Workshop Proceedings, 475, 333–342.
[14] Rosas, J., Lopez, O., Missimer, T.M., Coulibaly, K.M., Dehwah, A.H.A., Sesler, K., and Mantilla, D. (2014). “Determination of hydraulic conductivity from grain-size distribution for different depositional environments”. Groundwater, 52(3), 399–413.
[15] Svensson, A. (2014). “ Estimation of hydraulic conductivity from grain size analyses”. Chalmers University of Technology.
[16] Vuković, M,. and Soro, A. (1992). “Hydraulics and water wells: theory and application”. Water Resources Publications, Highlands Ranch, CO, USA
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 333-337, October 2020
Demand side management (DSM) is of the most important feature of modern smart grids, enable the utility companies and customers to efficiently use the available power. Load are shifted from peak demand hours to off peak hours, that minimize the pressure on grid and make it most efficient and reliable. In this paper the reliability of a distribution network is tested for different scenario. In first scenario, base case the reliability is tested without demand side management in term of different reliability parameters. In second case part of load which is noncritical load, is shifted to off peak hour and reliability is tested that shows improvement in reliability. In third scenario the percentage of load shifted is increased and reliability is calculated. Similarly, the reliability of system is tested for different percentage of noncritical load shifted to off peak hours. Based on calculation of different scenarios, the best DSM scenario is evaluated that gives the best reliability and high efficiency of the system.
[1] S. Kahrobaee and S. Asgarpoor, "The effect of demand side management on reliability of automated distribution systems," in 2013 1st IEEE Conference on Technologies for Sustainability (SusTech), 2013, pp. 179-183.
[2] U. Akram, M. Khalid, and S. Shafiq, "A strategy for residential demand response management in modern electricity markets," in 2018 IEEE International Conference on Industrial Technology (ICIT), 2018, pp. 1138-1142.
[3] M. Tariq and M. Adnan, "Stabilizing Super Smart Grids Using V2G: A Probabilistic Analysis," in 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 2019, pp. 1-5.
[4] Y. Liu, S. Gao, X. Zhao, S. Han, H. Wang, and Q. Zhang, "Demand response capability of V2G based electric vehicles in distribution networks," in 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2017, pp. 1-6.
[5] L. Zhao and V. Aravinthan, "Strategies of residential peak shaving with integration of demand response and V2H," in 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2013, pp. 1-5.
[6] A. Al Hourani and M. AlMuhaini, "Impact of Demand Side Management on the reliability performance of power distribution systems," in 2016 Saudi Arabia Smart Grid (SASG), 2016, pp. 1-5.
[7] T. Alnejaili, S. Drid, D. Mehdi, and L. Chrifi-Alaoui, "Advanced strategy of demand-side management for photovoltaic-wind energy system," in 2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014, pp. 797-802.
[8] O. Ayan and B. Turkay, "Energy Management Algorithm for Peak Demand Reduction," in 2018 20th International Symposium on Electrical Apparatus and Technologies (SIELA), 2018, pp. 1-4.
[9] X. Tang and J. V. Milanovic, "Assessment of the impact of demand side management on power system small signal stability," in 2017 IEEE Manchester PowerTech, 2017, pp. 1-6.
[10] S. Jaiswal and M. Ballal, "Optimal load management of plug-in electric vehicles with demand side management in vehicle to grid application," in 2017 IEEE Transportation Electrification Conference (ITEC-India), 2017, pp. 1-5.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 326-332, October 2020
In reaction to the impacts of global warming, individuals are becoming increasingly conscious of their homes unchecked power usage, particularly the use of electrical energy for cooking, heating, refrigeration, dish-washing and drying. There is an increased concern about idle losses, expended by devices when not in use, which not only add to utility bills but also add to the waste of energy. Monitoring and controlling end-use electricity demand in residential buildings can have a significant impact on reducing peak demand and optimizing energy consumption that can be achieved in smart households with residential load control systems. This study benchmarked eight Machine learning based algorithms: Linear, Ridge and LASSO regression; Support Vector Machine; Multilayer Perceptron; Nearest Neighbor regression; Extra-Trees and XG-Boost on a pre-collected “appliance energy” data-set. The specified algorithms were benchmarked on error metric of: training and testing set R-squared statistic; MAE; RMSE and also training time. Data-preprocessing and visualization was done to yield insight into data used. Firstly, un-tuned version of the eight algorithms were benchmarked, then model tuning via Grid-Search was carried for five algorithms and finally the effects of inclusion of certain features and varying parameters was tabulated and graphed. The least scores, on the specified error metrics, were obtained by the regression algorithms. The best scores were obtained by Extra-Trees and XG-Boost, which belong to ensemble algorithms of which Extra-Trees obtained best variance explanation (R-squared) scores of 98.94% on training set and 60.21% on testing set along with least scores on above specified error metrics.
[1] M. H. Goldberg, S. Linden, E. Maibach, and A. Leiserowitz, ‘Discussing global warming leads to greater acceptance of climate science’’, Proc. Natl. Acad. Sci, vol. 116, no. 30, pp. 14804–14805, Jul. 2019.
[2] A. Sokolova and B. Aksanli, ‘Demographical Energy Usage Analysis of Residential Buildings’’, J. Energy Resour. Technol, vol. 141, no. 6, p. 062003, Jun. 2019.
[3] Q. Wang, M.-P. Kwan, K. Zhou, J. Fan, Y. Wang, and D. Zhan, ‘Impacts of residential energy consumption on the health burden of household air pollution: Evidence from 135 countries’, Energy Policy, vol. 128, pp. 284–295, May 2019.
[4] Q. Wang, M.-P. Kwan, K. Zhou, J. Fan, Y. Wang, and D. Zhan, ‘Impacts of residential energy consumption on the health burden of household air pollution: Evidence from 135 countries’’, Energy Policy, vol. 128, pp. 284–295, May 2019.
[5] P. S. Solanki, V. S. Mallela, and C. Zhou, ‘An investigation of standby energy losses in residential sector: Solutions and policies’, p. 10.
[6] C. Lee, J. Park, K. Lee, J. Y. Yang, and T. Roh, ‘Energy Efficiency for Supplier and Sustainability for Demand: A Case of Heating Systems in South Korea’’, Sustainability, vol. 11, no. 15, p. 4216, Aug. 2019.
[7] K.-E. Westergren, H. Hogberg, and U. Norlen, ‘Monitoring energy consumption in single-family houses’, p. 11, 1999.
[8] A. Al-Garni, ‘A regression model for electric-energy-consumption forecasting in Eastern Saudi Arabia’, Energy, vol. 19, no. 10, pp. 1043–1049, Oct. 1994.
[9] T. A. Reddy and D. E. Claridge, ‘Using synthetic data to evaluate multiple regression and principal component analyses for statistical modeling of daily building energy consumption’, Energy and Buildings, vol. 21, no. 1, pp. 35–44, Jan. 1994.
[10] P. P. Moletsane, T. J. Motlhamme, R. Malekian, and D. C. Bogatmoska, ‘Linear regression analysis of energy consumption data for smart homes’, in 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, May 2018, pp. 0395–0399.
[11] S. A. Kalogirou and M. Bojic, ‘Artificial neural networks for the prediction of the energy consumption of a passive solar building’, p. 13, 2000.
[12] A. H. Neto and F. A. S. Fiorelli, ‘Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption’, Energy and Buildings, vol. 40, no. 12, pp. 2169–2176, Jan. 2008.
[13] P. A. González and J. M. Zamarreño, ‘Prediction of hourly energy consumption in buildings based on a feedback artificial neural network’, Energy and Buildings, vol. 37, no. 6, pp. 595–601, Jun. 2005.
[14] Y. T. Chae, R. Horesh, Y. Hwang, and Y. M. Lee, ‘Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings’, Energy and Buildings, vol. 111, pp. 184–194, Jan. 2016.
[15] M. A. R. Biswas, M. D. Robinson, and N. Fumo, ‘Prediction of residential building energy consumption: A neural network approach’, Energy, vol. 117, pp. 84–92, Dec. 2016.
[16] B. Dong, C. Cao, and S. E. Lee, ‘Applying support vector machines to predict building energy consumption in tropical region’, Energy and Buildings, vol. 37, no. 5, pp. 545–553, May 2005.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 10, PP. 318-325, October 2020
The Thin film technology is one of the fastest growing technologies because of the increase in energy demands and scarcity of energy materials. In thin film solar PVs PSC & CZTS are two of the most promising, abundant and efficient thin film solar PVs. They offer tunable band-gaps that can be adjusted for maximum PCE. Perovskite is one of the efficient solar PV material with a band-gap ranges between 1.55 to 2.3 eV which is too much close to the optimum photovoltaic conversion material. But it is less stable and vulnerable to environment while CZTS is more stable but have less band-gap as compared to perovskite. So, we make a tandem of perovskite & CZTS to utilize their efficiencies and durability. We simulate different thickness of layers and band-gaps of this tandem using SCAPS-1D, which is one of the best utilities for efficiency calculations of thin film solar PVs. We performed different simulations for that tandem while changing the allowable thickness of absorber layers & their band-gaps to obtain an optimum solution. During multiple simulations I obtained a better efficiency of 22.61% which was the greater efficiency during my simulations.I have used SCAPS-1D for modeling and simulations of thin film Perovskite and CZTS solar cells, calculated their I-V curve QE (quantum efficiency) for different thickness whose ranges are 200-500 nm for perovskite and 200nm to 1.2um for CZTS with step-length thickness of 25nm. I selected the best configuration for my simulations for better performance, on which I performed further simulations and chose model with efficiency of 22.61%. Which shows that a handsome amount of conversion efficiency is achievable for tandem solar cells consist of Perovskite and CZTS.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 09, PP. 312-317, September 2020
Amidst the prevailing energy crisis have thus pulled the thermal power plants to come into strike inorder to overcome the aforementioned issue seriously have invited ecological problem in parallel and is swelling day by day. Economic load dispatch (ELD) and economic emission dispatch (EED) are the Bi-objective opposite natured functions to each other which are brought into a single function with the aid of scaling factor (SF) and price penalty factor (PPF) to overcome the contradictory natures of fuel cost and emission levels at the same instant while keeping the alternators in their rated constraints of inequality in terms of maximum and minimum power levels and power balance constarint as well as including/excluding the phenomena of valve point loading effects (VPLE). Thus both the functions are balanced at specific single point which not only cuts down the fossil fuel cost but also keeps in parallel the emission level of gaseous products at minimum. Hybridized optimization technique is proposed in this research that carries the capability to combine the nature inspired Whale optimization algorithm with the three specific local search techniques i-e interior point algorithm (IPA), sequential quadratic programming (SQP) and active set (AS) and have been applied on two test cases for cost effective solution.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 09, PP. 305-311, September 2020
Language has always played a significant role in Human to Human communication. In case of not knowing someone else’s language, one can use hand gestures for communicating crudely but still be able to convey the message. Other than not knowing someone else’s language there are millions of people in the world who have hearing or speaking disability. According to the World Health Organization (WHO), it has been estimated to be a population of 436 million (5% of the total world’s population) people in the world who have hearing disabilities. Deaf people cannot use oral languages for communicating with other people. The source of their communication is Sign Language (SL) that conveys the message to the other person. In Computer Vision, there are different algorithms, which are used to interpret gestures and recognize them. The Deaf community of Pakistan uses its SL, like any other country in the world i.e., Pakistan Sign Language (PSL). There are around 60 local languages that are spoken in Pakistan including Hindko. Hindko and many other local languages spoken by minorities in Pakistan are on the brink of being endangered as the amount of research done on these languages is almost negligible. In this paper Convolutional Neural Network (CNN) is used for the recognition of Hindko Sign Language (HSL). Furthermore, we examine and analyze the recognition based on prediction to evaluate the efficiency of the utilized CNN. The methodology developed in this research work achieved an accuracy rate of 99.98%.
[1] Verma, S., Omanwar, R., Sreejith V., and Meera, G. S., “A Smartphone Based Indoor Navigation System”, 28th IEEE International Conference on Microelectronics, pp. 345-348, 2016.
[2] Varga, R., and Prekopcsak, Z., “Creating a Database for Objective Comparison of Gesture Recognition System”, 15th International Student Conference on Electrical Engineering, pp. 1-6, 2011.
[3] Sigalas, M., Haris, B., and Panos, T., Gesture Recognition Based on Arm Tracking for Human-Robot Interaction, IEEE International Conference on Intelligent Robots and Systems, pp. 5424-5429, 2010.
[4] Lewis, M. P., Simons, G. F., and Fennig, C. D., “Ethnologue: Languages of The World”, Texas: SIL International, 2015. [Online]. Available:
[5] Sulman, D. N., and Zuberi, S., “Pakistan Sign Language–A Synopsis”, Pakistan, June, 2000. [Online]. Available: https://www.academia.edu/2708088/Pakistan_Sign_Language_-_A_Synopsis
[6] Organization, W. H., “10 Facts About Deafness”, Posjeceno, Vol. 14, pp. 2017, 2017.
[7] Toker, H., “A Practical Guide to Hindko Grammar”, Trafford Publishing, 2014. [Online]. Available:
[8] Han, J., Zhang, D., Cheng, G., Liu, N. and Xu, D., “Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey”, IEEE Signal Process. Mag., Vol. 35, No. 1, pp. 84–100, 2018.
[9] Lee, A., “Comparing Deep Neural Networks and Traditional Vision Algorithms in Mobile Robotics,” Traditional Vision Algorithms in Mobile Robotics”, 2016.
[10] Krizhevsky, A., Sutskever, I., and Hinton, G., “Image Net Classification with Deep Convolutional Neural Networks”, In Proceedings of The Advances in Neural Information Processing Systems, Lake Tahoe, NV, USA, pp. 1097–1105, 2012.
[11] Chaman, S., Dsouza, D., Dmello, B., Bhavsar, K., and Dsouza, T., “Real-Time Hand Gesture Communication System in Hindi for Speech and Hearing Impaired”, IEEE International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 1954-1958, 2018.
[12] Islam, M. R., Mitu, U.K., Bhuiyan R. A., and Shin, J., “Hand Gesture Feature Extraction Using Deep Convolutional Neural Network for Recognizing American Sign Language”, IEEE 4th International Conference on Frontiers of Signal Processing (ICFSP), pp. 115-119, 2018.
[13] Sun, J. H., Ji, T. T., Zhang, S. B., Yang, J. K., and Ji, G. R., “Research on the Hand Gesture Recognition Based on Deep Learning”, 12th IEEE International Symposium on Antennas, Propagation and EM Theory (ISAPE), pp. 1-4, December, 2018.
[14] Khan, N., Shahzada, A., Ata, S., Abid, A., Khan Y., and Farooq, M.S., “A Vision-Based Approach for Pakistan Sign Language Alphabets Recognition”, Pensee, Vol. 76, No. 3, pp. 274-285, 2014.
[15] Dadiz, B.G., Abrasia, J. M. B., and Jimenez, J. L., “Go-Mo (Go-Motion): An Android Mobile Application Detecting Motion Gestures for Generating Basic Mobile Phone Commands Utilizing KLT Algorithm”, IEEE 2nd International Conference on Signal and Image Processing (ICSIP), pp. 30-34, 2017.
[16] Malik, M. S. A., Kousar, N., Abdullah, T., Ahmed, M., Rasheed, F., and Awais, M., “Pakistan Sign Language Detection using PCA and KNN”, International Journal of Advanced Computer Science and Applications, Vol. 9, No. 54, pp. 78-81, 2018.
[17] Chong T.W., and Lee, B.G., “American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach”, Sensors, Vol. 18, No. 10, pp. 3554, 2018.
[18] Thongtawee, A., Onamon, P., and Yuttana, K., A Novel Feature Extraction for American Sign Language Recognition Using Webcam, 11th IEEE Biomedical Engineering International Conference (BMEiCON), pp. 1-5, 2018.
[19] Shah, S. M. S., Naqvi, H. A., Khan, J. I., Ramzan, M., and Khan, H. U., Shape Based Pakistan Sign Language Categorization Using Statistical Features and Support Vector Machines, IEEE Access, Vol. 6, pp. 59242-59252, 2018.
[20] Goodfellow, I., Bengio Y., and Courville, A., “Deep Learning”, MIT Press: Cambridge, MA, USA, 2016. [Online]. Available
[21] Krizhevsky, A., Ilya, S., and Geoffrey, H. E., ImageNet Classification with Deep Convolutional Neural Networks, Advances in neural information processing systems, pp. 1097-1105, 2012.
[22] Rumelhart, D., Hinton, G., and Williams, R., “Learning Representations by Back-Propagating Errors,” Nature, Vol. 323, pp. 533–536, 1986. [Online]. Available:
[23] Mathworks, “Transfer Learning Using GoogLeNet - MATLAB Simulink - MathWorks United Kingdom”, 2018. [Online]. Available:
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 09, PP. 298-304, September 2020
The complex nature of the modern power system is because of the interconnection of the generating units and day by day increased load demand. The main purpose of the power system is to tantalize the load needs and generate reliable and cheap energy i.e. cost of generation should be optimum i.e. operating every generating unit in such a way to optimize the cost. The cost function of every generating unit is different from other generating unit, so load has to be divided among various generating units to obtain optimum generation. The optimization of power system is done by Economic load dispatch (ELD). ELD is of immense importance in power system operation and planning (PSOP). The primary purpose of ELD is to pacify the load needs at lowest cost while satiating all kind of equality and inequality constraints. Power system has highly non-linear input output characteristics because of different generation constraints. In ELD cost function of each and every generating unit is equated as quadratic function. Numerous methods have been devised to figure out ELD problem incorporating conventional methods like Lambda iteration method and Gradient method, and artificial intelligent method like Particle Swarm Optimization, Generic Algorithms etc. In this thesis optimization of generating units is done through General Algebraic Modelling System (GAMS). GAMS is a modelling system used for mathematical programming and optimization on a large scale. It helps to develop a mathematical model similar to their corresponding mathematical expression and gives more accurate results.
[1] T. Phase et al., “University of Nairobi School of Engineering Department of Electrical and Information Engineering,” no. 100, 2015.
[2] P. Systems and E. Drives, “ANALYSIS AND COMPARISON OF ECONOMIC LOAD DISPATCH USING GENETIC ALGORITHM AND Master of Engineering,” no. July, 2011.
[3] “SOULTION TO CONSTRAINED ECONOMIC LOAD DISPATCH SOLUTION TO CONSTRAINED ECONOMIC LOAD Department of Electrical Engineering National Institute of Technology Rourkela-769008 ( ODISHA ) May-2013.”
[4] B. Sahu, A. Lall, S. Das, and T. Manoj Kumar Patra, “Economic Load Dispatch in Power System using Genetic Algorithm,” Int. J. Comput. Appl., vol. 67, no. 7, pp. 17–22, 2013.
[5] P. Control, “Particle Swarm Optimisation Applied To Economic,” Electr. Eng.
[6] E. Engineering, “Economic Load Dispatch for Ieee 30-Bus System Using Pso,” pp. 1–40.
[7] C. Kuo, “A novel string structure for economic dispatch problems with practical constraints,” Energy Convers. Manag., vol. 49, no. 12, pp. 3571–3577, 2008.
[8] M. Nazari-heris, B. Mohammadi-ivatloo, and G. B. Gharehpetian, “A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives,” Renew. Sustain. Energy Rev., no. April, pp. 1–16, 2017.
[9] Y. A. Gherbi, H. Bouzeboudja, and F. Z. Gherbi, “The combined economic environmental dispatch using new hybrid metaheuristic,” Energy, vol. 115, pp. 468–477, 2016.
[10] H. Shayeghi and A. Ghasemi, “IJTPE Journal APPLICATION OF MOPSO FOR ECONOMIC LOAD DISPATCH SOLUTION WITH TRANSMISSION LOSSES,” Int. J., no. March, pp. 27–34, 2012.
[11] A. A. Abou El Ela, M. A. Abido, and S. R. Spea, “Differential evolution algorithm for emission constrained economic power dispatch problem,” Electr. Power Syst. Res., vol. 80, no. 10, pp. 1286–1292, 2010.
[12] T. Yalcinoz, H. Altun, and M. Uzam, “Economic dispatch solution using a genetic algorithm based on arithmetic crossover,” 2001 IEEE Porto Power Tech Proc., vol. 2, no. 4, pp. 153–156, 2001.
[13] D. kuo He, F. li Wang, and Z. zhong Mao, “Hybrid genetic algorithm for economic dispatch with valve-point effect,” Electr. Power Syst. Res., vol. 78, no. 4, pp. 626–633, 2008.
[14] V. Hosseinnezhad and E. Babaei, “Electrical Power and Energy Systems Economic load dispatch using h -PSO,” Int. J. Electr. POWER ENERGY Syst., vol. 49, pp. 160–169, 2013.
[15] B. K. Panigrahi, V. R. Pandi, and S. Das, “Adaptive particle swarm optimization approach for static and dynamic economic load dispatch,” vol. 49, pp. 1407–1415, 2008.
[16] B. Mohammadi-ivatloo, A. Rabiee, A. Soroudi, and M. Ehsan, “Electrical Power and Energy Systems Iteration PSO with time varying acceleration coefficients for solving non-convex economic dispatch problems,” Int. J. Electr. Power Energy Syst., vol. 42, no. 1, pp. 508–516, 2012.
[17] B. Mohammadi-ivatloo, M. Moradi-dalvand, and A. Rabiee, “Combined heat and power economic dispatch problem solution using particle swarm optimization with time varying acceleration coefficients,” Electr. Power Syst. Res., vol. 95, pp. 9–18, 2013.
[18] B. K. Panigrahi, S. R. Yadav, S. Agrawal, and M. K. Tiwari, “A clonal algorithm to solve economic load dispatch,” vol. 77, pp. 1381–1389, 2007.
[19] P. Chen and H. Chang, “Large-scale economic dispatch by genetic algorithm,” vol. 10, no. 4, pp. 1919–1926, 1995.
[20] V. R. Pandi and B. K. Panigrahi, “Expert Systems with Applications Dynamic economic load dispatch using hybrid swarm intelligence based harmony search algorithm,” Expert Syst. Appl., vol. 38, no. 7, pp. 8509–8514, 2011.
[21] A. L. Bolaji, “Tournament-based harmony search algorithm for non-convex economic load dispatch problem,” Appl. Soft Comput. J., pp. 1–11, 2016.
[22] A. Safari and H. Shayeghi, “Expert Systems with Applications Iteration particle swarm optimization procedure for economic load dispatch with generator constraints,” Expert Syst. Appl., vol. 38, no. 5, pp. 6043–6048, 2011.
[23] R. K. Swain, N. C. Sahu, and P. K. Hota, “Gravitational Search Algorithm for Optimal Economic Dispatch,” vol. 6, pp. 411–419, 2012.
[24] T. A. Albert and A. E. Jeyakumar, “Hybrid PSO – SQP for economic dispatch with valve-point effect,” vol. 71, pp. 51–59, 2004.
[25] S. Coelho and C. Lee, “Solving economic load dispatch problems in power systems using chaotic and Gaussian particle swarm optimization approaches,” vol. 30, pp. 297–307, 2008.
[26] M. Asif, Z. Raja, U. Ahmed, and A. Zameer, “Bio-inspired heuristics hybrid with sequential quadratic programming and interior-point methods for reliable treatment of economic load dispatch problem,” 2017.
[27] Y. Wang, B. Li, and T. Weise, “Estimation of distribution and differential evolution cooperation for large scale economic load dispatch optimization of power systems,” Inf. Sci. (Ny)., vol. 180, no. 12, pp. 2405–2420, 2010.
[28] D. Zou, S. Li, G. Wang, Z. Li, and H. Ouyang, “An improved differential evolution algorithm for the economic load dispatch problems with or without valve-point effects,” Appl. Energy, vol. 181, pp. 375–390, 2016.
[29] M. F. Zaman, S. Member, S. M. Elsayed, T. Ray, and R. A. Sarker, “Economic Dispatch Problems,” pp. 1–10, 2015.
[30] B. Y. Qu, J. J. Liang, Y. S. Zhu, Z. Y. Wang, and P. N. Suganthan, “Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm,” pp. 1–19, 2016.
[31] C. D. Tran, T. T. Dao, V. S. Vo, and T. T. Nguyen, “Economic Load Dispatch with Multiple Fuel Options and Valve Point Effect Using Cuckoo Search Algorithm with Different Distributions,” Int. J. Hybrid Inf. Technol., vol. 8, no. 1, pp. 305–316, 2015.
[32] S. Rakesh and S. Mahesh, “A comprehensive overview on variants of CUCKOO search algorithm and applications,” Int. Conf. Electr. Electron. Commun. Comput. Technol. Optim. Tech. ICEECCOT 2017, vol. 2018-Janua, pp. 569–573, 2018.
[33] G. A. Ajenikoko, O. S. Olaniyan, and J. O. Adeniran, “Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch : A Review,” vol. 1, no. 2, pp. 1–15, 2018.
[34] A. Gautam, A. Masih, and A. Ashok, “Implementation of Smooth and Non-Smooth Fuel Cost Function for Economic Load Dispatch using Cuckoo Search Method,” vol. 8, no. 3, pp. 682–691, 2018.
[35] R. C. A. Subramanian, K. Thanushkodi, and A. Prakash, “An Efficient Meta Heuristic Algorithm to Solve Economic Load Dispatch Problems,” vol. 9, no. 4, pp. 246–252, 2013.
[36] P. K. Roy and S. Bhui, “A multi-objective hybrid evolutionary algorithm for dynamic economic emission load dispatch,” 2015.
[37] D. Santra, A. Mondal, and A. Mukherjee, Study of Economic Load Dispatch by Various Hybrid Optimization Techniques. .
[38] F. Parvez, P. Vasant, V. Kallimani, and J. Watada, “A holistic review on optimization strategies for combined economic emission dispatch problem,” Renew. Sustain. Energy Rev., no. March, pp. 1–15, 2017.
[39] A. Y. Abdelaziz, E. S. Ali, and S. M. A. Elazim, “Electrical Power and Energy Systems Combined economic and emission dispatch solution using Flower Pollination Algorithm,” Int. J. Electr. POWER ENERGY Syst., vol. 80, pp. 264–274, 2016.
[40] I. Ziane, F. Benhamida, and A. Graa, “Dynamic Economic Load dispatch Using Quadratic Programming : Application to Algerian Electrical Network,” no. March, 2015.
[41] P. Tripati, U. Tomar, and A. K. Singhal, “Solving Economic Load Dispatch Problems through Moth Flame Optimization Algorithm,” no. March, 2019.
[42] Z. C. Khalid, M. H. Muhammad, and A. Zahoor, “Design of reduced search space strategy based on integration of Nelder – Mead method and pattern search algorithm with application to economic load dispatch problem,” Neural Comput. Appl., 2017.
[43] L. C. Kien, T. T. Nguyen, C. T. Hien, and M. Q. Duong, “A Novel Social Spider Optimization Algorithm for,” pp. 1–26, 2019.
[44] J. J. Q. Yu and V. O. K. Li, “Neurocomputing A social spider algorithm for solving the non-convex economic load dispatch problem,” Neurocomputing, pp. 1–11, 2015.
[45] G. Xiong and D. Shi, “SC,” Appl. Soft Comput. J., 2018.
[46] K. Y. Lee, A. Sode-yome, and J. H. Park, “Neural Networks for Economic Load Dispatch,” vol. 13, no. 2, pp. 519–526, 1998.
[47] N. Noman and H. Iba, “Differential evolution for economic load dispatch problems,” vol. 78, pp. 1322–1331, 2008.
[48] M. Kia, M. S. Nazar, M. S. Sepasian, A. Heidari, and P. Siano, “Optimal day ahead scheduling of combined heat and power units with electrical and thermal storage considering security constraint of power system,” Energy, vol. 120, pp. 241–252, 2017.
[49] B. R. Adarsh, T. Raghunathan, T. Jayabarathi, and X. Yang, “Economic dispatch using chaotic bat algorithm,” Energy, vol. 96, pp. 666–675, 2016.
[50] M. Modiri-delshad, S. H. Aghay, E. Taslimi-renani, and N. Abd, “Backtracking search algorithm for solving economic dispatch problems with valve-point effects and multiple fuel options,” Energy, vol. 116, pp. 637–649, 2016.
[51] T. Jayabarathi, T. Raghunathan, B. R. Adarsh, and P. Nagaratnam, “Economic dispatch using hybrid grey wolf optimizer,” Energy, vol. 111, pp. 630–641, 2016.
[52] V. Kumar and K. S. K. Bath, “Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer,” Neural Comput. Appl., 2015.
[53] N. Ghorbani and E. Babaei, “Electrical Power and Energy Systems Exchange market algorithm for economic load dispatch,” Int. J. Electr. POWER ENERGY Syst., vol. 75, pp. 19–27, 2016.
[54] A. Meng, J. Li, and H. Yin, “An ef fi cient crisscross optimization solution to large-scale non-convex economic load dispatch with multiple fuel types and valve-point effects,” Energy, vol. 113, pp. 1147–1161, 2016.
[55] D. Bisen, H. M. Dubey, M. Pandit, and B. K. Panigrahi, “Solution of Large Scale Economic Load Dispatch Problem using Quadratic Programming and GAMS : A Comparative,” vol. 7, no. 3, pp. 200–211, 2012.
[56] M. Javadi, T. Amraee, and S. Member, “Economic dispatch : A mixed-integer linear model for thermal generating units,” 2018 IEEE Int. Conf. Environ. Electr. Eng. 2018 IEEE Ind. Commer. Power Syst. Eur. (EEEIC / I&CPS Eur., pp. 1–5, 2018.
[57] F. Benhamida, I. Ziane, B. Bouchiba, and G. Amel, “Dynamic Economic Load Dispatch Optimization with Ramp Rate Limit Using GAMS-CONOPT Solver,” no. November, 2013.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 09, PP. 293-297, September 2020
One of the emerging technologies in the field of networking is the Software Defined Networking (SDN). Since it is a centrally controlled networks, it provides us with a better control to improve the security within our network against the potential threats. In this work we are using Deep Neural Network (DNN) model to detect the flow-based anomaly within the network. The model was trained on NSL-KDD dataset and out of forty-one features only six of the most relevant features of NSL-KDD were used. The results show that Deep Learning approach shows some promising results in detecting the anomaly in the SDN environment.
[1] “Software Defined Networking Definition,” Available:https://www.opennetworking.org/sdn-resources/sdn-definition,[Accessed 04 Jul. 2016].
[2] N. McKeown, T. Anderson, H. Balakrishnan, G. Parulkar, L. Peterson,J. Rexford, S. Shenker, and J. Turner, “Openflow: enabling innovation in campus networks,” ACM SIGCOMM Computer Communication Review, vol. 38, no. 2, pp. 69–74, 2008
[3] S. Jain, A. Kumar, S. Mandal, J. Ong, L. Poutievski, A. Singh,
S. Venkata, J. Wanderer, J. Zhou, M. Zhu et al., “B4: Experience witha globally-deployed software defined wan,” ACM SIGCOMM Computer Communication Review, vol. 43, no. 4, pp. 3–14, 2013.
[4] C. T. Huawei Press Centre and H. unveil world’s first commercial
deployment of SDN in carrier networks, “[online]. available: pr.huawei.com/en/news/hw-332209-sdn.htm.”
[5] N. Gude, T. Koponen, J. Pettit, B. Pfaff, M. Casado, N. McKeown, and S. Shenker, “Nox: towards an operating system for networks,” ACM SIGCOMM Computer Communication Review, vol. 38, no. 3, pp. 105– 110, 2008.
[6] “Ryu,” Available: http://http://osrg.github.io/ryu/.
[7] “Floodlight,” Available: http://www.projectfloodlight.org/.
[8] D. Kreutz, F. Ramos, and P. Verissimo, “Towards secure and dependable software-defined networks,” in Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking.ACM, 2013, pp. 55–60.
[9] R. Sommer and V. Paxson, “Outside the closed world: On using machinelearning for network intrusion detection,” in 2010 IEEE symposium onsecurity and privacy. IEEE, 2010, pp. 305–316.
[10] M. Tavallaee, E. Bagheri, W. Lu, and A.-A. Ghorbani, “A detailed
analysis of the kdd cup 99 data set,” in Proceedings of the Second IEEE
Symposium on Computational Intelligence for Security and Defence
Applications, 2009.
[11] Z. Jadidi, V. Muthukkumarasamy, E. Sithirasenan, and M. Sheikhan,“Flow-based anomaly detection using neural network optimized with gsa algorithm,” in 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops, 2013, pp. 76–81.
[12] P. Winter, E. Hermann, and M. Zeilinger, “Inductive intrusion detection in flow-based network data using one-class support vector machines,”in New Technologies, Mobility and Security (NTMS), 2011 4th IFIPInternational Conference on. IEEE, 2011, pp. 1–5.
[13] S. A. Mehdi, J. Khalid, and S. A. Khayam, “Revisiting traffic anomaly detection using software defined networking,” in International Workshop on Recent Advances in Intrusion Detection. Springer, 2011, pp. 161–180.
[14] “Q1 2016 State of the Internet / Security Report,” Available: https://content.akamai.com/PG6301-SOTI-Security.html, [Accessed 07Jul. 2016].
[15] R. Braga, E. Mota, and A. Passito, “Lightweight ddos flooding attackdetection using nox/openflow,” in Local Computer Networks (LCN),2010 IEEE 35th Conference on. IEEE, 2010, pp. 408–415.
[16] K. Giotis, C. Argyropoulos, G. Androulidakis, D. Kalogeras, and V. Maglaris, “Combining openflow and sflow for an effective and scalable anomaly detection and mitigation mechanism on sdn environments,” Computer Networks, vol. 62, pp. 122–136, 2014.
[17] P. Van Trung, T. T. Huong, D. Van Tuyen, D. M. Duc, N. H. Thanh, and A. Marshall, “A multi-criteria-based ddos-attack prevention solution using software defined networking,” in Advanced Technologies forCommunications (ATC), 2015 International Conference on. IEEE,2015, pp. 308–313.
[18] “KDD Cup 1999,” Available: http://kdd.ics.uci.edu/databases/kddcup99/,[Accessed 04 Jul. 2016]
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 08, PP. 286-292, August 2020
Pakistan is an energy stressed nation and is currently facing short-fall of power output around 6500 MW and is among those countries which are mostly affected from climatic changes in the past ten past years i.e. from 1998 to 2017. To cater the aforementioned energy and environmental concerns, this research study is fabricated to (1) figure out the awareness level of females in regards to energy management (2) women behavior towards utilization of renewable energy resources in the households (3) females response to the changing energy conditions as a result of power outages in the household setting and (4) energy management strategies conducted at the households. The scope of the study is Peshawar district, Pakistan. To investigate the queries discussed above, a research questionnaire with a random sample of (n=121) is devised and analysed. Major conclusions drawn from this survey are (1) About (54.5%) of women are aware of energy savings by doing proper management (2) Females are also wise in decision making at households. (3) About (55.3%) of the womens are aware of peak hours unit and (48.4%) of females are aware of hours of electricity and gas load shedding and in lieu of waiting for electricity and gas recovery, women know how to manage routine chores but yet 52.6% gap leaves a pace for policy makers to integrate social and behavioral aspects of energy consumers and move toward energy efficient and sustainable solutions of energy management at residential sector.
[1] W. E. Forum. (2018, October 01). The Global Gender Gap Report. Available: http://www3.weforum.org/docs/WEF_GGGR_2018.pdf
[2] M. Kugelman and R. M. Hathaway, Powering Pakistan: Meeting Pakistans Energy Needs in the 21st Century: Oxford University Press, 2009.
[3] M. Wakeel, B. Chen, and S. Jahangir, "Overview of energy portfolio in Pakistan," Energy Procedia, vol. 88, pp. 71-75, 2016.
[4] I. Hanif, "Economics-energy-environment nexus in Latin America and the Caribbean," Energy, vol. 141, pp. 170-178, 2017.
[5] J. P. K. Robert A. Ristinen Energy and the Environment, 2nd ed.: Wiley.
[6] R. Wilk, "Consumption, human needs, and global environmental change," Global environmental change, vol. 12, pp. 5-13, 2002.
[7] H. Wilhite Jr and R. Wilk, "A method for self-recording household energy-use behavior," Energy and Buildings, vol. 10, pp. 73-79, 1987.
[8] U. Offenberger and J. C. Nentwich, "Home heating and the co-construction of gender, technology and sustainability," Kvinder, Køn & Forskning, 2009.
[9] A. Rojas, F. Schmitt, and L. Aguilar, "Guidelines on Renewable Energy Technologies for Women in Rural and Informal Urban Areas," SanJose, Costa Rica: IUCN and ENERGIA http://genderand environment. org/resource/guidelines-on-renewable-energy-technologies-for-women-in-rural-andinformal-urban-areas, 2012.
[10] J. Thøgersen, "Housing-related lifestyle and energy saving: A multi-level approach," Energy Policy, vol. 102, pp. 73-87, 2017.
[11] W. Liu, G. Spaargaren, N. Heerink, A. P. Mol, and C. Wang, "Energy consumption practices of rural households in north China: Basic characteristics and potential for low carbon development," Energy Policy, vol. 55, pp. 128-138, 2013.
[12] A. Elnakat and J. D. Gomez, "Energy engenderment: An industrialized perspective assessing the importance of engaging women in residential energy consumption management," Energy Policy, vol. 82, pp. 166-177, 2015.
[13] E. Frederiks, K. Stenner, and E. Hobman, "The socio-demographic and psychological predictors of residential energy consumption: A comprehensive review," Energies, vol. 8, pp. 573-609, 2015.
[14] M. o. E. P. Division) and Hydrocarbon Development Institute of Pakistan, "Energy Year Book 2018," pp. 13-20, 2018.
[15] B. P. Michael, "The role of women in water resources management: the Tanzania case," International Journal of Water Resources Development, vol. 14, pp. 499-504, 1998.
[16] A. S. Permana, R. Perera, and S. Kumar, "Understanding energy consumption pattern of households in different urban development forms: A comparative study in Bandung City, Indonesia," Energy Policy, vol. 36, pp. 4287-4297, 2008.
[17] R. R. Wilk, "House, home, and consumer decision making in two cultures," ACR North American Advances, 1987.
[18] L. McClelland and S. W. Cook, "Energy conservation effects of continuous in-home feedback in all-electric homes," Journal of Environmental Systems, vol. 9, 1979.
[19] U. Offenberger and J. Nentwich, "Home heating, technology and gender: A qualitative analysis," in Sustainable energy consumption in residential buildings, ed: Springer, 2013, pp. 191-211.
[20] D. Ironmonger, Household production and the household economy, 2000.
[21] Y. He, B. O Flaherty, and R. A. Rosenheck, "Is shared housing a way to reduce homelessness The effect of household arrangements on formerly homeless people," Journal of Housing Economics, vol. 19, pp. 1-12, 2010.
[22] L. Karsten, "Housing as a way of life: Towards an understanding of middle-class families preference for an urban residential location," Housing studies, vol. 22, pp. 83-98, 2007.
[23] S. Groh, S. Pachauri, and N. D. Rao, "What are we measuring An empirical analysis of household electricity access metrics in rural Bangladesh," Energy for sustainable development, vol. 30, pp. 21-31, 2016.
[24] C. Hill, C. Corbett, and A. St Rose, Why so few Women in science, technology, engineering, and mathematics: ERIC, 2010.
[25] R. McKenna, L. Hofmann, E. Merkel, W. Fichtner, and N. Strachan, "Analysing socioeconomic diversity and scaling effects on residential electricity load profiles in the context of low carbon technology uptake," Energy Policy, vol. 97, pp. 13-26, 2016.
[26] Pakistan Bureau of Statics Government of Pakistan, "PAKISTAN TEHSIL WISE FOR WEB CENSUS," p. 18, 2017.
[27] S. Salma, M. Shah, and S. Rehman, "Rainfall trends in different climate zones of Pakistan," Pakistan Journal of Meteorology, vol. 9, 2012.
[28] M. R. Hyman and J. J. Sierra, "Adjusting self-reported attitudinal data for mischievous respondents," International Journal of Market Research, vol. 54, pp. 129-145, 2012.
[29] A. S. Permana, N. A. Aziz, and H. C. Siong, "Is mom energy efficient A study of gender, household energy consumption and family decision making in Indonesia," Energy research & social science, vol. 6, pp. 78-86, 2015.
[30] C. Wilson and H. Dowlatabadi, "Models of decision making and residential energy use," Annu. Rev. Environ. Resour., vol. 32, pp. 169-203, 2007.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 08, PP. 282-285, August 2020
Citrus peel belongs to orange and lemon plant that contains concentrated oils. Oil from citrus peel is widely used in foods, perfumes and pharmaceutical industry worldwide. In this study, the advantages of citrus concentrated oil extracted by conventional and novel techniques were studied. Microwave extraction techniques have come out as new alternatives to conventional techniques (hydro distillation) for extraction of oils. This paper reviews the novel separation technique with the conventional techniques in terms of extraction time, yields and energy. Extraction of oils with solvent free microwave extraction (SFME) was comparatively better in terms of extraction time that is 50 minutes while for microwave assisted hydro distillation (MAHD) is 60 minutes and for hydro distillation (HD) it is 3 hours. Yields percentage was almost same for the three processes that are 1.67%. Energy savings were greater in both MAD and SFME that is 0.4 kWh while in Hydro distillation it is 1.3 kWh. Overall MAD was better in performance than other techniques.
A. K. Maurya, S. Mohanty, A. Pal, C. S. Chanotiya and D. U. Bawankule, “ The essential oil from Citrus limetta Risso alleviates skin inflammation: in-vitro and in-vivo study”, Journal of Enthnopharmacology, https://doi.org/10.1016/j.jep.2017.10.018
M. Abbas, M. M. Khan, S. M. Mughal and P. Ji, “Comparison of infection of Citrus tristeza closterovirus in Kinnow mandarin (Citrus reticulata) and Mosambi sweet orange (Citrus sinesis) in Pakistan”, Crop Protection, Vol. 78, 2015, pp. 146-150.
S. E. Kantar, N. Boussetta, N. Lebovka, F. Foucart, H. N. Rajha, R. G. Maroun, N. Louka and E. Vorobiev, “Pulsed electric field treatment of citrus fruits: Improvement of juice and polyphenols extraction”, Innovative Food Science and Emerging Technologies, Vol. 46, 2018, pp. 153-161.
L. Zuo, Y. Hu, Y. Sun, W. Xue, L. Zhou and X. Zhang, “Rapid determination of 30 bioactive constituents in XueBiJing injection using ultra high-performance liquid chromatography-high resolution hybrid quadrupole-orbitrap mass spectrometry coupled with principal component analysis”, Journal of Pharmaceutical and Biomedical Analysis, Vol. 137, 2017, pp. 220-228.
F. J. Barba, O. Parniakov, M. Koubaa, and N. Lebovaka, “Pulse electric fields assisted extraction from exotic fruit residues. In D. Miklavcic (Ed.)”, Handbook of electroporation, Cham: Springer International Publishing, 2017, pp. 1-18.
M. A. Desai, J. Parikh, and A. K. De, “Modelling and optimization studies on extraction of lemongrass oil from Cymbopogon flexuosus (steud.) Wats.”, Chem. Eng. Res. Des., Vol. 92, No. 5, 2014, pp. 793-803.
E. G. Mejia, N. R. Conrado, M. E. Leon-Gonzalez and Y. Madrid, “Citrus peels waste as a source of value-added compounds: Extraction and quantification of bioactive polyphenols”, Food Chemistry, Vol. 295, 2019, pp. 289-299.
S. A. El-Sawi, M. E. Ibrahim, K. G. El-Rokiek, and S. A. El-Din, “Allelopathic potential of essential oils isolated from peels of three species.”, Annals of Agricultureal Sciences, Vol. 64, 2019, pp. 89-94.
M. A. Ferhat, B. Y. Meklati and F. Chemat, “Comparison of different isolation methods of essential oil from citrus fruits: cold pressing, hydrodistillation and microwave ‘dry’ distillation.”, Flavour Fragr. J., Vol. 22, 2007, pp. 494-504.
B. Uysal, F. Sozmen, O. Aktas, B. S. Oksal and E. O. Kose, “Essential oil composition and antibacterial activity of the grapefruit (Citrus Paradisi. L) peel essential oils obtained by solvent-free microwave extraction: comparison with hydrodistillation.”, International Journal of Food and Technology, Vol. 46, 2011, 1455-1461.
M. N. Pauline, B. Nithyalakshmi and R. A. Lakshmi, “Extraction of Orange Oil by Improved Steam Distillation and its Characterization Studies”, International Journal of Engineering Technology, Management and Applied Sciences, Vol. 3, No. 2, 2015, pp. 1-8.
H. S. Kusuma. A. F. P. Putra and M. Mahfud, “Comparison of Two Isolation Methods for Essential Oils from Orange Peel (Citrus auranticum L) as a Growth Promoter for Fish: Microwave Steam Distillation and Conventional Steam Distillation”, Journal of Aquaculture Res. Development, Vol. 7, No. 2, 2016, pp. 1-5.
C. G. Lopresto, F. Petrillo, A. A. Casazza, B. Aliakbarian, P. Perego and V. Calabro, “A non-conventional method to extract D-limonene from waste lemon peels and comparison with traditional Soxhlet extraction”, Separation and Purification Technology, Vol. 137, 2014, pp. 13-20.
Y. Ma, X. Ye, Y. Hao, G. Xu and D. Liu, “Ultrasound-assisted extraction of hesperidin from Penggan (Citrus reticulata) peel”, Ultrasonics Sonochemistry, Vol. 15, No. 3, 2008, pp. 227-232.
K. Xhaxhiu, A. Korpa, A. Mele and T. Kota, “Ultrasonic and Soxhlet Extraction Characteristics of the Orange Peel from “Moro” Cultivars Grown in Albania”, Journal of Essential Oil Bearing Plants, Vol. 16, No. 2, 2013, pp. 421-428.
B. B. Li, B. Smith and Md. M. Hossain, “Extraction of phenolics from citrus peels I. Solvent extraction method”, Separation and Purification Technology, Vol. 48, 2006, pp. 182-188.
B. Nayak, F. Dahmoune, K. Moussi, H. Remini, S. Dairi, O. Aoun and M. Khodir, “Comparison of microwave, ultrasound and accelerated-assisted solvent extraction for recovery of polyphenols from Citrus sinensis peels”, Food Chemistry, Vol. 187, 2015, pp. 507-516.
H. S. Kusuma and M. Mahfud, “Comparison of conventional and microwave-assisted distillation of essential oil from Pogostemon cablin leaves: Analysis and modelling of heat and mass transfer”, Journal of Applied Research on Medicinal and Aromatic Plants, Vol. 4, 2017, pp. 55-65.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 08, PP. 274-281, August 2020
In this paper the resiliency improvement of micro inverter is considered. Its life degrades mainly due to failure of DC link capacitor. The inherent 100 Hz ripples from inverter stage causes excess heat in capacitor. Consequently, the electrolyte dries out quickly and its lifespan decreases. The objective of this paper is to mitigate such AC harmonics on DC link capacitor. A compensator or active power decoupling circuit, APD, is designed in PSIM. The APD circuit is a combination of film capacitor, H-bridge and control circuit. Second frequency AC ripples are converted into DC by actively controlling the capacitor. In this manner AC harmonics are mitigated at the DC link capacitor. Firstly, a benchmark micro inverter is designed and simulated without using APD circuit. Secondly, active power decoupling is used by designing APD circuit. The simulation results show that there is a decrease in AC ripples from 9.4% to 3.2% by using series voltage compensator as compared to passive power decoupling i.e. only a bulk capacitor. The capacitor life is increased up to 19 years and hence of micro-inverter. The total harmonics distortion (THD) analysis shows that by using active power decoupling, system injects 2.7% THD as compared to passive decoupling which is 1.69%. which is still in bellow the IEEE standard of allowable 5% THD.
Arráez-Cancelliere, Oswaldo A., Nicolás Muñoz-Galeano, and Jesús M. Lopez-Lezama. "Performance and economical comparison between micro-inverter and string inverter in a 5, 1 kWp residential PV-system in Colombia." In 2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA), pp. 1-5. IEEE, 2017.
Harb, Souhib, et al. "Micro inverter and string inverter grid-connected photovoltaic system—A comprehensive study." 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC). IEEE, 2013.
“Examples for failures in power electronics system”, European Center for Power Electronics (ECPE), tutorial, April, 2007
S. B. Kjaer, J. K. Pedersen, and F. Blaabjerg, "A Review of Single-phase Gridconnected Inverters for Photovoltaic Modules," IEEE Transactions on Industry Applications, vol. 41, pp. 1292-1306, 2005.
Williams, David. Active power decoupling for a boost power factor correction circuit. Diss. University of British Columbia, 2016.
Hu, H., Harb, S., Kutkut, N., Batarseh, I., & Shen, Z. J. (2012). A review of power decoupling techniques for microinverters with three different decoupling capacitor locations in PV systems. IEEE Transactions on Power Electronics, 28(6), 2711-2726.
Sun, Yao, Yonglu Liu, Mei Su, Xin Li, and Jian Yang. "Active power decoupling method for single-phase current-source rectifier with no additional active switches." IEEE Transactions on Power Electronics 31, no. 8 (2015): 5644-5654.
K.-H. Chao, P.-T. Cheng and T. Shimizu, "New Control Methods for Single Phase PWM Regenerative Rectifier with Power Decoupling Functions," in International Conference on Power Electronics and Drive Systems, Taipei, Taiwan, 2009.
B. Tian, S. Harb and R. Balog, "Ripple-port integrated PFC rectifier with fast dynamic response," in IEEE 57th International Midwest Symposium on Circuits and Systems, College Station, Tx, 2014.
M. Saito and N. Matsui, "Modeling and Control Strategy for a Single-Phase PWM Rectifier Using a Single-Phase Instantaneous active/reactive Power Theory," in Telecommunications
C. Wang, Y. Zou, Y. Zhang and Y. Xu, "Research on the single-phase PWM rectifier basedon the repetitive control," in IEEE International Conference on Industrial Technology, Chengu, 2008.
h. Wang, H. S.-H. Chung and W. Liu, "Use of a Series Voltage Compensator for Reduction of the DC-Link Capacitance in a Capacitor Supported System," IEEE Transactions on Power Electronics, vol. 29, no. 3, pp. 1163-1175, 2014.
https://energyinformative.org/best-solar-panel-monocrystalline-polycrystalline-thin-film/
Joshi, Mahendra Chandra, and Susovon Samanta. "Modeling and control of bidirectional DC-DC converter fed PMDC motor for electric vehicles." In 2013 Annual IEEE India Conference (INDICON), pp. 1-6. IEEE, 2013.
Hu, Haibing, Souhib Harb, Nasser Kutkut, Issa Batarseh, and Z. John Shen. "A review of power decoupling techniques for microinverters with three different decoupling capacitor locations in PV systems." IEEE Transactions on Power Electronics 28, no. 6 (2012): 2711-2726.
Namboodiri, Anuja, and Harshal S. Wani. "Unipolar and bipolar PWM inverter." International Journal for Innovative Research in Science & Technology 1, no. 7 (2014): 237-243.
Azri, Maaspaliza, and Nasrudin Abd Rahim. "Design analysis of low-pass passive filter in single-phase grid-connected transformerless inverter." In 2011 IEEE Conference on Clean Energy and Technology (CET), pp. 348-353. IEEE, 2011.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 08, PP. 268-273, August 2020
The instructions are this thesis is the cost analysis of different sources of electricity for an educational institute in Peshawar. The technical and cost analysis of different system is done for the case study so that a system could be recommended for the site which can fulfill the demand requirement by least net present cost. By using HOMER software load profile is created and cost analysis is done for a project life time of 15 years. Five different configurations is studied in this thesis for techno economic analysis of the system. These configurations are made by selected different combination of solar, generator, battery storage and diesel generator. HOMER software simulate these configuration find out a system which have least net present cost. By analysis of result obtain from different configuration a hybrid system consists of solar photo voltaic cells of 77 Kw, diesel generator of 50kva, a battery storage of 8 strings of 4 batteries can fulfill our need a least net present which is the recommended system to be install for our system. The system will have a net present cost of 24.6 million, level zed cost of energy is 29.04Rs.
[1] M. J. O. C. Asif, "Energy crisis in Pakistan: Origins, challenges, and sustainable solutions," 2012.
[2] M. A. Javaid, S. Hussain, A. Maqsood, Z. Arshad, A. Arshad, and M. J. I. J. B. A. S. Idrees, "Electrical energy crisis in Pakistan and their possible solutions," vol. 11, pp. 38-52, 2011.
[3] U. K. Mirza, M. M. Maroto-Valer, N. J. R. Ahmad, and S. E. Reviews, "Status and outlook of solar energy use in Pakistan," vol. 7, no. 6, pp. 501-514, 2003.
[4] H. B. Khalil, S. J. H. J. R. Zaidi, and S. E. Reviews, "Energy crisis and potential of solar energy in Pakistan," vol. 31, pp. 194-201, 2014.
[5] M. A. J. R. Sheikh and S. E. Reviews, "Energy and renewable energy scenario of Pakistan," vol. 14, no. 1, pp. 354-363, 2010.
[6] S. Alayan, "Design of a PV-Diesel Hybrid System with Unreliable Grid Connection in Lebanon," ed, 2016.
[7] S. A. Almajdup, M. Z. Akop, M. A. Salim, M. R. Mansor, and M. A. M. J. P. o. M. E. R. D. Rosli, "Design of photovoltaic (PV)-diesel hybrid system with unreliable grid connection in Kampung LB Johnson, Malaysia by HOMER," vol. 2018, pp. 106-107, 2018.
[8] M. T. Riasat, M. A. Ahmed, S. Tasin, M. A. Nabil, and S. Andalib, "Designand performance analysis for hybrid PV-Diesel-Battery power system for residential area in Dhaka city," in 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC), 2013, pp. 1515-1520: IEEE.
[9] N. M. Isa, C. W. Tan, and A. Yatim, "A techno-economic assessment of grid connected photovoltaic system for hospital building in Malaysia," in IOP Conference Series: Materials Science and Engineering, 2017, vol. 217, no. 1, p. 012016: IOP Publishing.
[10] D. K. Lal, B. B. Dash, A. J. I. J. o. E. E. Akella, and Informatics, "Optimization of PV/wind/micro-hydro/diesel hybrid power system in HOMER for the study area," vol. 3, no. 3, p. 307, 2011.
[11] J. Fulzele, S. J. I. J. o. E. Dutt, and C. Engineering, "Optimium planning of hybrid renewable energy system using HOMER," vol. 2, no. 1, p. 68, 2012.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 07, PP. 264-267, July 2020
Treatment of tannery wastewater produced from an ingeniously leather industry was carried out using a ceramic membrane coated with graphene oxide. The effluent was highly contaminated and thus posed a great threat to the terrestrial and aquatic life by polluting the environment. The current study proposed treatment of aforementioned wastewater with graphene oxide coated ceramic membrane. Graphene Oxide, synthesized by Modified Hummer’s method, was coated on the inner surface of tubular ceramic membrane with a suspension of 5 mg/ml using dip-coating technique. Experiments were performed at different transmembrane pressures ranging from 0.7 bar to 3 bar while keeping the temperature and crossflow velocity constant. Rejection values for total solids, total dissolved solids, total suspended solids, salinity and conductivity were determined to evaluate the efficiency of the coated membrane.
U. Pagga and D. Brown, "The degradation of dyestuffs: Part II Behaviour of dyestuffs in aerobic biodegradation tests," Chemosphere, pp. 479-491, 1986.
M. F. Abid, M. A. Zablouk and A. M. Abid-Alameer, "Experimental study of dye removal from industrial wastewater by membrane technologies of reverse osmosis and nanofiltration," Iranian Journal of Environmental Health Science & Engineering, pp. 9-17, 2012.
E. Clarke and R. Anliker, Organic Dyes and Pigments, Berlin; Heidelberg: Springer Verlag, 1980.
K. O. Agenson, J.I. Oh and T. Urase, "Retention of a wide variety of organic pollutants by different nanofiltration/reverse osmosis membranes: controlling parameters of process," Journal of Membrane Science, pp. 91-103, 2003.
J. Schaep, B. Van der Bruggen, C. Vandec and D. Wilms, "Influence of ion size and charge in nanofiltration," Separation and Purification Technology, pp. 155-162, 1998.
K. Kimura, G. Amy, J. E. Drewes, T. Heberer, T. U. Kim and Y. Watanabe, "Rejection of organic micropollutants (disinfection by-products, endocrine disrupting compounds, and pharmaceutically active compounds) by NF/RO membranes," Journal of membrane science, pp. 113-121, 2003.
L. Cot, A. Ayral , J. Durand , C. Guizard , N. Hovnanian , A. Julbe and A. Larbot , "Inorganic Membrane and Solid State Sciences," Solid State Sciences, pp. 313-334, 2000.
S. Benfer, P. Arki and G. Tomandl, "Ceramic Membranes for Filtration Applications — Preparation and Characterization," Advanced Engineering Materials, pp. 495-500, 2004.
L. F. Dumée, K. Sears, J. Schütz, N. Finn, C. Huynh, S. Hawkins , M. Duke and S. Gray, "Characterization and evaluation of carbon nanotube Bucky-Paper membranes for direct contact membrane distillation," Journal of Membrane Science, pp. 36-43, 2010.
M. Yu, H. H. Funke, J. L. Falconer and R. D. Noble, "High density, vertically-aligned carbon nanotube membranes," Nano Letters, pp. 225-229, 2009.
S. Kim, J. R. Jinschek, H. Chen, D. S. Sholl and E. Marand, "Scalable fabrication of carbon nanotube/polymer nanocomposite membranes for high flux gas transport," Nano Letters, pp. 2806-2811, 2007.
A. K. Geim and K. S. Novoselov, "The rise of graphene," Nat Mater, pp. 183-191, 2007.
D. R. Dreyer, S. Park, C. W. Bielawski and R. S. Ruof, "The chemistry of graphene oxide," The Royal Society of Chemistry, p. 228–240, 2010.
F. Perrozzi, S. Prezioso and L. Ottaviano, "Graphene oxide: from fundamentals to applications," Journal of Physics Condensed Matter, 2014.
K. Narasimharao, G. Venkata Ramana, D. Sreedhar and V. Vasudevarao, "Synthesis of Graphene Oxide by Modified Hummers Method and Hydrothermal Synthesis of Graphene-NiO Nano Composite for Supercapacitor Application," Journal of Material Sciences & Engineering, 2016.
Kang Huang, Gongping Liu, Yueyun Lou, Ziye Dong, Jie Shen and Wanqin Jin, "A Graphene Oxide Membrane with Highly Selective Molecular Separation of Aqueous Organic Solution," Angewandte Chemie International Edition, p. 6929 –6932, 2014.
S. Nataraj, S. Roy, M. B. Patil, M. N. Nadagouda, W. E. Rudzinski and T. M. Aminabhavi, "Cellulose acetate-coated α-alumina ceramic composite tubular membranes for wastewater treatment," Desalination, pp. 348-353, 2011.
Xuebing Hu, Yun Yu, Jianer Zhou, Yongqing Wang, Jian Liang, Xiaozhen Zhang, Qibing Chang and Lixin Song, "The improved oil/water separation performance of graphene oxide modified Al2O3 microfiltration membrane," Journal of Membrane Science, pp. 200-204, 2015.
Y. Lou, G. Liu, S. Liu and J. Shen, "A facile way to prepare ceramic-supported graphene oxide composite membrane via silane-graft modification," Applied Surface Science, pp. 631-637, 2014.
Jeng Yi Chong, Bo Wang, Cecilia Mattevi and Kang Li, "Dynamic microstructure of graphene oxide membranes and the permeation flux," Journal of Membrane Science, vol. 549, pp. 385-392, 2018.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 07, PP. 259-263, July 2020
Pakistan is in phase of increasing economic growth which is also giving people to raise their standard of living which is growing in building construction. This is further rising the demand of electricity which is a big challenge for Pakistan. The energy savings made at load sites are nowadays regarded as energy generation. Taking all this parameter into account, there is an urge for alternative way to minimize the energy consumption in order to overcome the electricity shortfall in Pakistan. A detailed analysis has been conducted to lower the annual energy requirements of the test site. The optimization strategy mainly involves (i) energy audit, (ii) retrofitting technique .An important finding is that the payback period of all technique is less than seven years. The results indicate that when 3 inch polystyrene insulation is internally employed along with the energy efficient appliances, an electricity saving up to 22% with a payback period of 4.96 years can be achieved.
[1] Karkare, A., Dhariwal, A., Puradbhat, S., & Jain, M. Evaluating retrofit strategies for greening existing buildings by energy modelling & data analytics. In Intelligent Green Building and Smart Grid (IGBSG), 2014 International Conference , pp. 1-4,2014, April. IEEE.
[2] Irfan, M., Abas, N., & Saleem, M. S. Net Zero Energy Buildings (NZEB): A Case Study of Net Zero Energy Home in Pakistan
[3] Rafique, M. M., & Rehman, S. National energy scenario of Pakistan–Current status, future alternatives, and institutional infrastructure: An overview. Renewable and Sustainable Energy Reviews, vol. 69, pp.156-167, Mar 2017
[4] S. Aziz, S. J. Burki, A. Ghaus-Pasha, S. Hamid, P. Hasan, A. Hussain, H. A. Pasha, and A. Z. K.
a. Sherdil. "Third Annual Report—State of the Economy: Pulling back from the abyss
b. (Lahore)", Pakistan: Beaconhouse National University, Institute of Public Policy: 66
[5] F. Jan, A. Mutalib. "Mitigation of Energy Crisis in Pakistan through Energy Conservationin Residential Sector" International Journal of Research in Engineering and Technology (IJRET) 2, no.4(2013):169
[6] Malik, A. M., & Awan, M. Y. (2018). Need for Energy Proficient Buildings as Solution towards Energy Stability in Pakistan. Technical Journal, 23(01), 1-8
[7] K. kiani, DAWN NEWS, May 2017.
[8] Valasai, Gordhan Das, et al. "Overcoming electricity crisis in Pakistan: A review of sustainable electricity options." Renewable and Sustainable Energy Reviews 72 (2017): 734-745.
[9] Asimakopoulos, D. A., et al. "Modelling the energy demand projection of the building sector in Greece in the 21st century." Energy and Buildings 49 (2012): 488-498.
[10] Zhang, Tao, Peer-Olaf Siebers, and Uwe Aickelin. "Modelling electricity consumption in office buildings: An agent based approach." Energy and Buildings 43.10 (2011): 2882-2892
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 07, PP. 255-258, July 2020
Provision of affordable and environmental friendly energy is a national concern. Pakistan is not endowed sufficiently with energy resources and has to import energy resources from the gulf countries mainly from the kingdom of Saudi Arabia. Energy policy has been the less researched field in Pkaistan. It is believed to be a ministerial subject with least or no input from other stakeholders like academia, industry and general populace. Under this research we have conducted a detailed survey amongst all the above mentioned stakeholders. The survey comprised of the following five aspects, that were focused in detail i.e. thermal power generation capability and suitability with refrence to Pakistani energy and climate scenarios, legislation capability and local capacity, social awareness and subsidy, energy efficiency and energy audit, industry academia collaboration. Regular policy making was started in mid 1990s. before that there has been no regular power policy and major mpart of the electric power came through the hydel power generation. Since only hydel was not enough to cater to the needs of a growing economy, injection of thermal became necessary. Afterwards i.e the first formal power policy of 1994 the power generation shifted more towards thermal power mode and by this day Pakistan has 62% of power generating from thermal power i.e. fossil fuels like oil, coal and natural gas. Pakistan is one of the most seriously affected country with climate change effects. Climate change effects and availability of power should be traded off to have a workable solution.
[1] M. A. Javaid, S. Hussain, Z. Arshad, Ma. Arshad, and M. Idrees, “Electrical Energy Crisis in Pakistan and Their Possible Solutions,” Int. J. Basic Appl. Sci. IJBAS-IJENS, vol. 11, no. 5, pp. 5–38, 2011.
[2] “75Aceb87369D3C696Ad46C349Aaa8D5B4Ec1D7C3.Pdf.” .
[3] S. No, Government of Pakistan Notification. 2004.
[4] “Policy For Power Generation Projects Year 2002,” Policy, 2002.
[5] J. Vinanchiarachi, N ational P ower P olicy, 2013th ed., no. September. government of pakistan, 2013.
[6] muhammad adnan, “Energy crisis in Pakistan and its issues,” 2011.
[7] “world energy usage by fuel,” 2018. [Online]. Available: https://en.wikipedia.org/wiki/World_energy_consumption.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 07, PP. 251-254, July 2020
In this project patch antenna has been used for Radio Frequency Identification (RFID) applications. Due to the advancement in the field of wireless communications day by day, RFID is the most attractive technology being used as an identification technology and is far better than other sources of identification and tracking i.e. Bar code technology. Different frequency bands are assigned for RFID antenna. But in this project work has been made in Microwave band ranging from (2.400- 2.483) GHz and (5.7250- 5.8750) GHz due to a number of applications and due to the higher transfer rate. In order to design slotted dual band patch for RFID 2.45GHz and 5.800 Ghz applications, a 1.58 mm thicker RT/duroid-5880 is selected for substrate material having a relative permittivity and loss tangent of Ɛr=2.2 and δ=0.0009 respectively. To achieve dual band response different techniques can be adopted. First a conventional patch for 2.45GHz has been designed and then with the help of slotting techniques another frequency band was achieved that was radiating at 5.8 GHz. The dual band frequency of the antenna has been achieved by introducing the slot in the upper most layer patch with coaxial feed. The gain, efficiency and bandwidth of the antenna at (2.45 and 5.80) GHz are {6.661 dB, 89 %, 36 MHz} and {6.661 dB, 97 % and 341MHz}, respectively. The antenna can be potentially use for RFID and WLAN applications. All the simulations are carried out using CST MWS. The prototype has been fabricated to validate the results.
S. Mangal, Y.J. Kang and H. J. Lee. "Survey on security in Internet of Things: State of the art and challenges." Advanced Communication Technology (ICACT), 2017 19th International Conference on. IEEE, 2017.
M. Gaetano. "The art of UHF RFID antenna design: impedance matching and size-reduction techniques." IEEE Antennas and Propagation Magazine, pp. 66-79, 2008
A. Ren; C. Wu; T. Wang; B. Yao, "A novel design for UHF near-field RFID reader antenna based on traveling wave," Communication Technology (ICCT), 2010 12th IEEE International Conference on , vol., no., pp.239,242, 11-14 Nov. 2010
A.Iqbal, S.Shah, M. Amir, "Investigating Universal Filtered Multi-Carrier (UFMC) Performance analysis in 5G cognitive Radio Based Sensor Network (CSNs)" International Journal of Engineering Works,Vol. 4, Issue 1, PP. 5-9, Jan 2017.
Z. N. Chen Fellow IEEE;X. Qing; Member IEEE and H. L. Chung, “AUniversal UHF RFID Reader Antenna” IEEE Transactions on Microwave Theory and Techniques, vol.57, no.5, pp.1275, 1282, 27 March 2009
C. A. Balanis Antenna Theory: analysis and design. Wiley-interscience, 2012.
E. Michael. An investigation of reduced size planer fed microstrip patch antennas. Doctoral thesis Northumbria University, 2005.
W.S. Chen, “Single-feed dual-frequency rectangular microstrip antenna with square slot,”
Researcher own contribution – May 2019.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 06, PP. 247-252, June 2020
Coking plant wastewater is well-known for its excessive NH3-N and COD content, for which it is difficult to meet emission standards even by using the biological treatment process. In this paper, a fast and efficient BYW-01 was prepared and used to remove NH3-N and COD in coking plant wastewater from different biological treatment processes.Combined with the characterization of XRD, BET, FTIR, SEM etc, it was found that the abundant –OH and C=O functional groups on the surface of the mesoporous structure absorbent was beneficial to NH3-N and COD capture. The NH3-N and COD removal rate could reach about 50 %, 66 % respectively in 5 minutes. The possible adsorption mechanism was proposed.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 06, PP. 238-246, June 2020
Now a days, the load demand of the world is dramatically increasing day by day. This situation creates a big gap between the energy production and the energy consumption. The conventional energy sources are depleting globally. So it is a global phenomenon to restore the power energy and to look forward the other means of energy production. The load demand and power production gap can be reduced by Micro Grid. Micro grids is a group of localized electricity units and load that operates both in islanded mode/ autonomously or in grid connected mode. Grid connected mode is a small power generating unit that is connected with conventional grid system. Grid connected mode is a small power generating unit that is being connected with conventional grid system. Micro grid mostly utilizes the renewable sources of energy such as solar energy, wind energy, geo thermal energy and the other sources of distributed generation. While operating a power system in micro grid, the maintenance and flow of electricity is not simple task as compared to the unidirectional power flow in case of conventional grid station. Another problem is the identification of fault in power system in case of micro grids detection of fault location and its recovery is not an easy task. In this research work, I have developed a SCADA module through which fault location is detected automatically, by observing the power at different feeders and its dial recovery is done by supply the power from other nearby power generating station. This is only possible when the system has ability to operate in ring main system, but it normally operates in radial configuration.
[1] Michael, S., Goncalo, C., and Salman, M. Distribution energy resources and micro grid modelling.
[2] (2015). A survey of techniques for designing and managing micro grids. IEEE PES GM.
[3] (2011). DOE micro grid workshop report. IEEE.
[4] Hatziargyriou, N. (2014). Micro grids architectures and control. John Wiley and Sons (pp. 4).
[5] Salam, A. A., Mohamed, A., and Hannan, M. A. (2008). Technical challenges on micro grids. ARPN Journal of Engineering and Applied Sciences, 3: 64.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 06, PP. 233-237, June 2020
Building sector is one of the major consumers of energy produced in the country. This study was carried out to assess the energy performance of a typical academic building and to analyze the effect of energy efficiency measures on energy consumption for space cooling. EQuest software was used to model the year round energy performance. The simulation results were compared with annual metered energy usage. Moreover, a standard wall insulation was simulated in order to analyze its effect on energy saving. The results showed a considerable energy saving potential.
[1] CEN, E.J.B.E.S.O., EN 15217, Energy performance of buildings-Methods for expressing energy performance and for energy certification of buildings. 2007.
[2] Poel, B., et al., Energy performance assessment of existing dwellings. 2007. 39(4): p. 393-403.
[3] Lee, W., et al., A method to assess the energy performance of existing commercial complexes. 2003. 12(5): p. 311-327.
[4] Wang, S., et al., Quantitative energy performance assessment methods for existing buildings. 2012. 55: p. 873-888.
[5] Yan, C., et al., A simplified energy performance assessment method for existing buildings based on energy bill disaggregation. 2012. 55: p. 563-574.
[6] Baig, A.A. and A.S. Fung. A Case Study in Energy Modeling of an Energy Efficient Building with Gas Driven Absorption Heat Pump System in eQUEST. in Proceedings of the eSim Building Performance Simulation Conference, Hamilton, ON, Canada. 2016.
[7] Xiangzhao, H.Y.F.J.A.T., AFFECTION OF WINDOW-WALL RATIO ON ENERGY CONSUMPTION IN REGION OF HOT SUMMER AND COLD WINTER. 2001(10): p. 3.
[8] Shihuai, Z., H. Xiadong, and W.J.C.C.M.S. Xinyun, Analysis the effect of heat insulating on heating and cooling energy consumption of residential buildings in hot summer and cold winter zone. 2006. 1: p. 26-29.
[9] NING, Y.-f., Z.-h. LIU, and G.J.J.o.H.U. CHEN, The influence of residential air conditioning load on the exterior wall heat insulation in hot summer and cold winter zone. 2006. 5.
[10] Bolattürk, A.J.A.t.e., Determination of optimum insulation thickness for building walls with respect to various fuels and climate zones in Turkey. 2006. 26(11-12): p. 1301-1309.
[11] Hasan, A.J.A.e., Optimizing insulation thickness for buildings using life cycle cost. 1999. 63(2): p. 115-124.
[12] Bakos, G.J.E. and buildings, Insulation protection studies for energy saving in residential and tertiary sector. 2000. 31(3): p. 251-259.
[13] Al-Khawaja, M.J.J.A.t.e., Determination and selecting the optimum thickness of insulation for buildings in hot countries by accounting for solar radiation. 2004. 24(17-18): p. 2601-2610.
[14] Dombaycı, Ö.A.J.B. and Environment, The environmental impact of optimum insulation thickness for external walls of buildings. 2007. 42(11): p. 3855-3859.
[15] Hirsch, C.-J.J. [cited 2019; Available from: doe2.com.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 05, PP. 228-232, May 2020
Ad hoc network is a type of network in which there is no center node or center entity. So, there are two type of ad hoc network MANET and VANET. MANET (Mobile Ad Hoc Network) is a type of ad hoc network in which the nodes are connecting wirelessly and have some random mobility. But VANET (Vehicular Ad Hoc Network) are different in traditional MANET due to high mobility of nodes but the realistic vehicle can’t be traced by using random mobility model and way point mobility model. So, for this purpose SUMO (Simulation of Urban Mobility) tool is used for vehicular mobility models and we successfully implement that model in NS3 and use a device to device feature (proximity sensor) of LTE module in NS3 for connected nodes (Vehicles) directly. And the aim of this project is to reduce the overload on infrastructural network and overhead in vehicular communication to avoid infrastructure and by connecting vehicles directly.
[1] Deshmukh, Rajvardhan Somraj, Tushar Singh Chouhan, and P. Vetrivelan. "VANETS Model: Vehicle-to-Vehicle, Infrastructure-to-Infrastructure and Vehicle-to-Infrastructure Communication using NS-3." International Journal of Current Engineering and Technology, E-ISSN (2015): 2277-4106.
[2] HadiArbabi Michele C. Weigle (2010), Old Dominion University, Department of Computer Science Norfolk, VA 23529, USA, Highway Mobility And Vehicular Ad-Hoc Networks In Ns-3, Proceedings of the Winter Simulation Conference IEEE.
[3] Harri, Jerome, Fethi Filali, and Christian Bonnet. "Mobility models for vehicular ad hoc networks: a survey and taxonomy." IEEE Communications Surveys & Tutorials 11, no. 4 (2009).
[4] 3. J.G. Jetcheva, Y.C. Hu, S. PalChaudhuri, A.K. Saha D.B. Johnson, “Design and evaluation of a metropolitan area multitier wireless Ad-hoc network architecture,” Mobile Computing Systems and Applications, 2003. Proceedings Fifth IEEE Workshop on, vol., no., pp. 32-43, 9-10 Oct. 2003.
[5] Rupinder, Kaur, and Singh Gurpreet. "Survey of various mobility models in VANETs." International Journal Of Engineering And Computer Science 3, no. 03 (2014).
[6] Feham, Mohammed & Bahidja, Boukenadil. (2015). Mobility Models for VANET simulation.
[7] Mir, Zeeshan Hameed, and Fethi Filali. "LTE and IEEE 802.11 p for vehicular networking: a performance evaluation." EURASIP Journal on Wireless Communications and Networking 2014, no. 1 (2014): 89.
[8] Rouil, Richard, Fernando Cintrón, Aziza Ben Mosbah, and Samantha Gamboa Quintiliani. "A Long Term Evolution (LTE) device-to-device module for ns-3." In The Workshop on ns-3 (WNS3). 2016.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 05, PP. 221-227, May 2020
Delays are one of the major issues in the development venture. Because of this, projects surpass projected time and cost. Retardation in the project can be reduced only when its reasons are determined and evaluated. The main focus of this research study was to determine the delaying causes in the establishment of FATA University. The study follows a quantitative approach where a well-defined questionnaire was distributed among the experts directly managing the construction project of FATA University, i.e. the consultant, the contractor, and the client for the data collection. Relative Important Index (RII) was employed in the research methodology to determine the significance of each delaying factor. Top five delaying causes in the establishment of FATA University project were recorded as (1) client having risk attitudes, (2) Lack of coordination between client, contractor, and consultant, (3) slow decision effects, (4) consultant supervisory staff size and (5) frequent changes in design documents by the consultant. The efficient management and planning of these delaying factors will positively affect the project completion time and its overall cost.
[1] Government of Pakistan, Planning and Development Department, Federally Administered Tribal Areas (FATA) Pakistan (Peshawar: FATA Secretariat, Warsak Road, 2009), p.vii http://fata.gov.pk/files/MICS.pdf (Accessed 17th August 2013).
[2] In pictures: Census teams go door-to-door for Pakistan first nationwide headcount in 19 years. DAWN.COM. 15 March 2017. Retrieved 21 March 2017.
[3] Social Policy and Development in Pakistan: The State of Education, Annual Review 2002-2003, Social Policy and Development Centre, Karachi, Pakistan, 2003. P.7.
[4] Alzahrani, J. I., & Emsley, M. W. (2013). The impact of contractors’ attributes on construction project success: A post construction evaluation. International journal of project management, 31(2), 313-322.
[5] Aibinu, A. A., & Odeyinka, H. A. (2006). Construction Delays and Their Causative Factors in Nigeria. Journal of Construction Engineering and Management, 132(7), 667–677. https://doi.org/10.1061.
[6] Santoso, D. S., & Soeng, S. (2016). Analyzing delays of road construction projects in Cambodia: Causes and effects. Journal of Management in Engineering, 32(6), 05016020.
[7] Awan, N. (2013). Education in FATA. Pakistan annual research journal, 49, 163-170.
[8] Assaf, S. A., & Al-Hejji, S. (2006). Causes of delay in large construction projects. International Journal of Project Management, 24(4), 349–357. https://doi.org/10.1016/j.ijproman.2005.11.010.
[9] Lo, T. Y., Fung, I. W., & Tung, K. C. (2006). Construction Delays in Hong Kong Civil Engineering Projects. Journal of Construction Engineering and Management, 132(6), 636–649. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:6(636)
[10] Gunduz, M., Nielsen, Y., & Ozdemir, M. (2015). Fuzzy Assessment Model to Estimate the Probability of Delay in Turkish Construction Projects. Journal of Management in Engineering, 31(4), 04014055. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000261
[11] Marzouk, M. M., & El-Rasas, T. I. (2014). Analyzing delay causes in Egyptian construction projects. Journal of advanced research, 5(1), 49-55.
[12] Al-Momani, A. H. (2000). Construction delay: a quantitative analysis. International journal of project management, 18(1), 51-59.
[13] Sambasivan, M., & Soon, Y. W. (2007). Causes and effects of delays in the Malaysian construction industry. International Journal of Project Management, 25(5), 517–526. https://doi.org/10.1016/j.ijproman.2006.11.007
[14] Hwang, B.-G., Zhao, X., & Ng, S. Y. (2013). Identifying the critical factors affecting schedule performance of public housing projects. Habitat International, 38, 214–221. https://doi.org/10.1016/j.habitatint.2012.06.008
[15] Zaneldin, E. K. (2006). Construction claims in United Arab Emirates: Types, causes, and frequency. International journal of project management, 24(5), 453-459
[16] Hussain, S., Zhu, F., Ali, Z., Danial Aslam, H., & Hussain, A. (2018). Critical delaying factors: Public sector building projects in Gilgit-Baltistan, Pakistan. 8(1), 6.
[17] Hussain, S., Zhu, F., Ali, Z., & Xu, X. (2017). Rural residents’ perception of construction project delays in Pakistan. Sustainability, 9(11), 2018.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 04, PP. 217-220, April 2020
The ever-growing demand of air conditioning system in commercial and household applications emphasis on long-term material’s stability. Material’s failure in air conditioning system due to temperature variance and heat flow causing reduction in cooling effect of the system. Considerable amount of heat waste in evaporator coil as a result of low thermal transitions through coils material resulting reduction in overall efficiency of the system. This paper provide a CES Granta’s design software-based approach being followed to select appropriate material for evaporator coil in air conditioning system. Cast iron, pure titanium, copper, low alloy steel, Stainless steel, and nickel-chromium alloys are the shortlisted candidate for evaporator coil based on design and functional requirements. Low alloy steel, titanium, and stainless steel are the top suitable candidate among which stainless steel shows promising attributes for evaporator coil in air conditioning system. This paper will help the researchers, engineers, and designers to better understand the methodology of selecting a stainless steel in evaporator system to control corrosion and provide high- temperature-resistance.
[1] Wiqas Alam Material Selection for Micro Channel Heat Exchangers for Industrial Waste Heat Recovery International Journal of Engineering Works Vol. 6 Issue 11 PP. 406-413 November 2019
[2] Zupan, Marc, Mike F. Ashby, and Norman A. Fleck. "Actuator classification and selection—the development of a database." Advanced engineering materials 4.12 (2002): 933-940
[3] Schodek, Daniel L., Paulo Ferreira, and Michael F. Ashby. Nanomaterials, nanotechnologies and design: an introduction for engineers and architects. Butterworth-Heinemann, 2009.
[4] Reddy, G. Prashant, and Navneet Gupta. "Material selection for microelectronic heat sinks: an application of the Ashby approach." Materials & Design 31.1 (2010): 113-117.
[5] Shanian, A., and O. Savadogo. "A methodological concept for material selection of highly sensitive components based on multiple criteria decision analysis." Expert Systems with Applications 36.2 (2009): 1362-1370.
[6] Sommariva, Corrado, Harry Hogg, and Keith Callister. "Cost reduction and design lifetime increase in thermal desalination plants: thermodynamic and corrosion resistance combined analysis for heat exchange tubes material selection." Desalination 158.1-3 (2003): 17-21.
[7] Sommariva, Corrado, H. Hogg, and K. Callister. "Forty-year design life: the next target Material selection and operating conditions in thermal desalination plants." Desalination 136.1-3 (2001): 169-176.
[8] Anojkumar, L., M. Ilangkumaran, and V. Sasirekha. "Comparative analysis of MCDM methods for pipe material selection in sugar industry." Expert systems with applications 41.6 (2014): 2964-2980.).
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 04, PP. 211-216, April 2020
Power transients faults on high voltage lines are prominently due to high frequency transients. These transients affect the predicted life and efficiency of equipment. The Fast Fourier Transform (FFT) is helpful in analysing the effect of high frequencies and Frequency Response Analysis (FRA) provide support in diagnosis and detection of deformation in a transformers. The major aim of this study is to analyse the incorporation of frequencies based on resonating core of a particular transformer. Using transfer function method an impedance change in transformer has been observed when equipment is subjected to high voltage transients. The effect of change in impedance is that it degrade the life of a core with respect to time. In this paper, research that has been done already on Transformers of different ratings i.e. 100, 50 and 30 kVA are studied and then an experiment is performed on 50-kVA transformer. It was concluded that the core of a transformer having rating equal or less than 50 kVA practically shows single resonance behavior while above 50 kVA for instance 100-kVA transformer core resonates twice. In actual, result defines the core deviating frequency with respect to the rating of a transformer.
[1] S. Okabe, M. Koutou, T. Teranishi, S. Takeda, and T. Saida, A High Frequency Model of an Oil-Immersed Transformer, and its use in Lightning Surge Analysis, Elect. Eng. Jpn. vol. 134
(1), 2001.
[2] Y. Shibuya and S. Fujita, High frequency model and transient response of transformer windings, in Proc. IEEE Power Eng. Soc. Transmission and Distribution Conf. Exhibit., Asia Pacific, Vol. 3, pp. 1839–1844, 2002.
[3] Y. Shibuya and S. Fujita, High frequency model of transformer winding, Elect. Eng. Jpn. Vol. 146(3), 2004.
[4] M. Popov, L. Van der Sluis, R. P. P. Smeets, J. Lopez-Roldan, and V. V. Terzija, Modelling, simulation and measurement of fast transients in transformer windings with consideration of frequency-dependent losses, Inst. Eng. Technol. Electr. Power Appl., vol. 1(1), 2007. Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, Electron spectroscopy studies on magneto-optical media and plastic substrate interface, IEEE Transl. J. Magn. Japan, Vol. 2, pp. 740–741, 1987.
[5] Y. Wang, W. Chen, C. Wang, L. Du, and J. Hu, A hybrid model of transformer windings for very fast transient analysis based on quasi-stationary electromagnetic fields, Elect. Power Components Syst., Vol. 36, pp. 540–554, 2008.
[6] P. T. M. Vaessen, Transformer model for high frequencies, IEEE Trans. Power Del., Vol. 3(4), pp. 1761–1768, 1988.
[7] A. Piantini and C. V. S. Malagodi, “Modeling of three-phase distribution transformers for calculating lightning induced voltages transferred to the secondary,” presented at the IEEE 5th Int. Symp. Lightning Protection, Sao Paulo, Brazil, 1999.
[8] N. A. Sabiha and M. Lehtonen, Experimental verification of distribution transformer model under lightning strokes, presented at the IEEE Power Eng. Soc. Power Syst. Conf. Expo., pp. 15–18, 2009.
[9] T. Noda, H. Nakamoto, and S. Yokoyama, Accurate modeling of core-type distribution transformers for electromagnetic transient studies, IEEE Trans. Power Del., Vol. 17(4), pp. 969–976, 2002.
[10] T. Noda, M. Sakae, and S. Yokoyama, Simulation of lightning surge propagation from distribution line to consumer entrance via pole-mounted transformer, IEEE Trans. Power Del., Vol. 19(1), pp. 442–444, 2004.
[11] M. H. Nazemi and G. B. Gharehpetian, Influence of mutual inductance between HV and LV windings on transferred overvoltages, presented at the XIVth ISH Conf., Beijing, 2005.
[12] P. Mitra, A. De, and A. Chakrabarti, Resonant behavior of EHV transformer windings under system originated oscillatory transient over voltages, Int. J. Elect. Power Energy Syst., Vol. 33(1), pp. 1760–1766, 2011.
[13] A. N. de Souza, M. G. Zago, O. R. Saavedra, C. C. Oba Ramos, and K. Ferraz, A computational tool to assist the analysis of the transformer behavior related to lightning, Int. J. Elect. Power Energy Syst., vol. 33(3), pp. 556–561, 2011.
[14] K. Ragavan and L. Satish, An efficient method to compute transfer function of a transformer from its equivalent circuit, IEEE Trans. Power Del., Vol. 20(2), pp. 780–788, 2005.
[15] A. Miki, T. Hosoya, and K. Okuyama, A calculation method for impulse voltage distribution and transferred voltage in transformer windings, IEEE Trans. Power App. Syst., Vol. 3, pp. 930–939, 1978.
[16] P. G. Blanken, A lumped winding model for use in transformer models for circuit simulation, IEEE Trans. Power Electron., Vol. 16(3), pp. 445–460, 2001.
[17] R. C. Dugan, R. Gabrick, J. C. Wright, and K. V. Pattern, Validated techniques for modeling shell-form EHV transformers, IEEE Trans. Power Del., Vol. 4(2), pp. 1070–1078, 1989.
[18] R. C. Degeneff, W. J. McNutt, W. Neugebauer, J. Panek, M. E. Mc-Callum, and C. C. Honey, Transformer response to system switching voltage, IEEE Trans. Power App. Syst., Vol. (6), pp. 1457–1470, 1982.
[19] R. C. Degeneff, W. J. McNutt, W. Neugebauer, J. Panek, M. E. Mc-Callum, and C. C. Honey, Transformer response to system switching voltage, IEEE Trans. Power App. Syst., Vol. (6), pp. 1457–1470, 1982.
[2] G. M. Kennedy, Transformer Sweep Frequency Response Analysis, energize, pp. 28-33, 2007.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 04, PP. 207-210, April 2020
Knowledge of temperature and rainfall periodicity is needed for urban and rural land-use and infrastructure planning, and their flood protection. In this study temperature and rainfall data from Climatic Research Unit Time Series version 4.03 (CRU TS4.03) was downloaded and inverse distance weighted (IDW) were made to analyze the temperature and precipitation variations in Kabul river basin (KRB). Interpolation maps were made using ArcMap 10.4.1. Analysis was done for period from 2004 to 2018. Annually for 15-year period, mean temperature variation can be noted as, upper part of the basin has minimum temperature of -1.2 °C while part of the study basin that lies in Pakistan has maximum temperature of 19 °C. Rainfall varies from 380 mm to 793 mm annually for 15-years. Due to increasing trend of both temperature and rainfall for KRB suitable methods should be applied for water management and flood risk reduction.
[1] Barnett, T.P., Adam, J.C. and Lettenmaier, D.P., 2005. “Potential impacts of a warming climate on water availability in snow-dominated regions”. Nature, 438(7066): 303.
[2] Flint, R.F., 1971. “Glacial and Quaternary Geology”. New York. John Wiley and Sons,Inc., 892
[3] IPCC, “Climate Change: The Physical Science Basis; Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change,” Cambridge University Press: Cambridge, UK; New York, NY, USA. 1535, 2013.
[4] IPCC, “Climate change 2007: The Physical Science Basis. Contribution of Working Group I to the 4th Assessment Report of the Intergovernmental Panel on the climate change”. Cambridge and New York: Cambridge University Press, 2007. 996, 2007.
[5] Shi, H., Li, T. and Wei, J., 2017. “Evaluation of the gridded CRU TS precipitation dataset with the point raingauge records over the Three-River Headwaters region”. Journal of Hydrology, 548: 322-332.
[6] Lashkaripour, G.R. and Hussaini, S., 2008. “Water resource management in Kabul River Basin, Eastern Afghanistan”. Environmnetalist, 28(3): 253-260.
[7] Khattak, M.S., Anwar, F., Saeed, T.U., Sharif, M., Sheraz, K., Ahmed, A., 2016. “Floodplain mapping using HEC-RAS and ArcGIS: A Case Study of Kabul River”. Arabian Journal for Science and Engineering, 41(4): 1375-1390.
[8] Rasooli, A. and Kang, D., 2015. “Assessment of potential dam sites in the Kabul River Basin using GIS”. International Journal of Advanced Computer Science and Applications, 6(2).
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 04, PP. 203-206, April 2020
Our world has been changed a lot over the past few years. Only a few decades back and you will see that communication among people was not an easy task at all. Thanks to the advancement in technologies especially the networking techniques that have made the lives of the people so comfortable. Now due to these computer networks, communication with your family, friends, and colleagues is so easy all across the globe. This communication is not only limited to the entertainment or information anymore. Wireless Body Area Networks has made it possible for the doctors to keep in touch with their patients and check their health conditions while staying miles away from them physically. This application of Computer Networks is impacting so many lives in the world in a very positive way. This technology is helping people in getting better health services without taking the time to go to their doctor or changing their daily routine. This application has so many benefits but at the same time it is also facing challenges and secure transfer of the data is one of the challenges and researchers are working to make sure to keep data of the patients secure.
[1] Queiroz-Sousa, Paulo Orlando, and Ana Carolina Salgado. "A Review on OLAP Technologies Applied to Information Networks." ACM Transactions on Knowledge Discovery from Data (TKDD) 14, no. 1 (2019): 1-25.
[2] Qin, Zhijin, Frank Y. Li, Geoffrey Ye Li, Julie A. McCann, and Qiang Ni. "Low-power wide-area networks for sustainable IoT." IEEE Wireless Communications 26, no. 3 (2019): 140-145.
[3] Gilbert, Edwin Prem Kumar, K. Baskaran, Elijah Blessing Rajsingh, M. Lydia, and A. Immanuel Selvakumar. "Trust aware nature-inspired optimised routing in clustered wireless sensor networks." International Journal of Bio-Inspired Computation 14, no. 2 (2019): 103-113.
[4] Kashyap, Ramgopal. "Applications of Wireless Sensor Networks in Healthcare." In IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities, pp. 8-40. IGI Global, 2020.
[5] Gope, Prosanta, Ashok Kumar Das, Neeraj Kumar, and Yongqiang Cheng. "Lightweight and physically secure anonymous mutual authentication protocol for real-time data access in industrial wireless sensor networks." IEEE transactions on industrial informatics 15, no. 9 (2019): 4957-4968.
[6] Shu, Tongxin, Jiahong Chen, Vijay K. Bhargava, and Clarence W. de Silva. "An energy-efficient dual prediction scheme using LMS filter and LSTM in wireless sensor networks for environment monitoring." IEEE Internet of Things Journal 6, no. 4 (2019): 6736-6747.
[7] Ohri, Kriti, R. Vijaya Saraswathi, and L. Jai Vinita. "Performance analysis of wireless body area sensor analytics using clustering technique." In 2019 International Conference on Communication and Signal Processing (ICCSP), pp. 0278-0281. IEEE, 2019.
[8] Tseng, Hsueh-Wen, Yu-Bin Wang, Yi Yang, and Ru-Xin Wang. "An Adaptive Channel Hopping and Dynamic Superframe Selection Scheme with QoS Considerations for Emergency Traffic Transmission in IEEE 802.15. 6-Based Wireless Body Area Networks." IEEE Sensors Journal (2019).
[9] Bai, Tong, Jinzhao Lin, Guoquan Li, Huiqian Wang, Peng Ran, Zhangyong Li, Yu Pang, Wei Wu, and Gwanggil Jeon. "An optimized protocol for QoS and energy efficiency on wireless body area networks." Peer-to-Peer Networking and Applications 12, no. 2 (2019): 326-336.
[10] Shim, Kyung-Ah. "Universal Forgery Attacks on Remote Authentication Schemes for Wireless Body Area Networks Based on Internet of Things." IEEE Internet of Things Journal 6, no. 5 (2019): 9211-9212.
[11] Paul, Pangkaj Chandra, John Loane, Gilbert Regan, and Fergal McCaffery. "Analysis of Attacks and Security Requirements for Wireless Body Area Networks-A Systematic Literature Review." In European Conference on Software Process Improvement, pp. 439-452. Springer, Cham, 2019.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 04, PP. 197-202, April 2020
CIGS is a better replacement of Si solar cell having low possibility of damage different layers is used for CIGS cell which decreases short current losses. CIGS solar cell technology is a very highly competitive and also need less raw material as well as low cost of fabrication. As compared to C-Si (~11000C) thermal budge is very low for the production of CIGS modules about (~550 0C approximately). The comparison of weight C-Si solar panels have lesser weight than CIGS because in CIGS solar panels there are two glass panes and in C-Si there is only one pane of glass are used. The absorption coefficient of CIGS is high as compare to C-Si because CIGS solar cells using direct band gap materials and C-Si included in indirect band gap material and having lower absorption coefficient property (104/cm) that’s why CIGS solar cell thickness is 100 times lesser than as compare to C-Si solar cells. There are a lot of techniques to increase the efficiency and decrease transmission losses but the scope of this work covers how to use DBR (Distributed Bragg Reflector) as a back reflector and also examining its effect on decreasing thickness of the absorber layer. In real world it is not possible to reduce the transmission losses approximately equal to zero because some part of the light is absorbed and lost in metal used at the rear surface of the cell in the form of heat but reflection losses can be reduced up to zero. It is seen that mostly in conventional thin film solar cells thick metal plate is used at the rear surface of the solar cell for increasing reflection and decreasing transmission losses at the back surface of the cell. A huge proportion of heat is lost due to the collision of incident photons with metallic surfaces. However, DBR is tested in CIGS solar cell for increasing back surface reflection and increasing light trapping by this research work.
Muhammad Awais: Department of Renewable Energy Engineering, U.S Pakistan Center for Advance Studies in Energy, University of Engineering and Technology Peshawar, Pakistan
Saddam Hussain: Department of Renewable Energy Engineering, U.S Pakistan Center for Advance Studies in Energy, University of Engineering and Technology Peshawar, Pakistan
Muhammad Babar Iqbal: Department of Renewable Energy Engineering, U.S Pakistan Center for Advance Studies in Energy, University of Engineering and Technology Peshawar, Pakistan
[1] S.&.0.P.A.Asumadu-Sarkodie, "The potential of ecnomic vibility of solar photovoltic in Ghana," Energy Sources, Part A: Recovery, Utilization , and Environmental Effects, 2016d.
[2] O.P.M.R.S.Y.S.K. Edenhofer, "Renewable Energy Sources and climate change mitigation," Cambridge: Cambridge University press, 2011.
[3] F.&.M.T.Urban, "Climate, disaster and electricity generation," 2011.
[4] J.F.Guillemoles, in "Thin solid Films", 2002, pp. p.p.404-409.
[5] M.B.F.E.H.a.A.V.P.J.Srour, in "in Phy.Status Solidi", 2016, pp. p.p.1472-1475.
[6] US National Renewable Energy Laboratory, "Best research- Cell efficiencie", 2016.
[7] R.V.Chidozie Onwudinanti, "Advance light management based on peroidic textures for Cu(In,Ga)Se2 thin film solar cells.",Optic Express, vol. vol.24, 2016.
[8] Guanchao Yin, "Optoelectronic Enhancement of Ultrathin CuInGaSe2 solar cells by nano-photonic contact,"Advance optical Materials,2016.
[9] S.Y.Guo, "Textured, doped, ZnO thin films produced by a new process for a-Si and CIGS solar cell application.",Energy Photovoltics,2007.
[10] B.Vermang, "Development of rear surface passivated Cu(In,Ga)Se2 thin film solar cells with non-sized local rear point contacts,"Solar Energy and Solar cells,2013.
[11] W.B.Zentrum, "CIGS-White paper. White paper for thin film solar cell Technology.",2015.
[12] A.a.T.AGESSERT, "Optimization of CdTe Solar cell performance impact of variation of minority carrier life time and carrier density profile,"IEEEJ Photonics1 (1), pp. P.P.99-103, 2011A.
[13] R.Birkmire, "In 33rd IEEE Photovoltic Specialist conf.paper 370," in In conference Rec, 2008.
[14] G.O.D.R.A.i.C.a.C.X.Meng, "Absorbing photonic crystals for silicon thin film solar cells design", fabrication and experimental investigation," Sol Energy Matter. Sol Cells 95, pp. p.p.S32-S38, 2011.
[15] B.J.a.T.A.M.Brnett, "Methods for the continuous manufacture of thin film solar cells,". US Patent 4318938, 9 March 1982.
[16] "First Solar quantity report for 2009," 2009.
[17] J.Perlin, "From Space to earth, study of solar electricity," MI,ATTEC,Publications, 1990.
[18] U. R. K. W. I. M. K. G. H. G. V. M. P. H. W. S. J. H. W. A. Jasenek, "Radiation resistance of Cu(In,Ga)Se2 solar cells under 1MeV Electron Irradiation,"Thin Solid Films, vol. Vols. no. 387, pp. pp. pp. 228-230, 2001.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 03, PP. 189-196, March 2020
This paper deals with exploration by team of multi-robots in unknown, unstructured and dynamic environments at the same time. The goal of the research is to minimize the total exploration time taken by team of robots to complete the mission and to achieve faster re-planning of their planned path in case of sudden changes in the environment as robots move through the environment. The proposed exploration approach is fully distributive in the sense that all robots are assigned separate regions in an unknown environment with each robot exploring its assigned region. As a first step the environment is partitioned into different regions as available number of robots and then each robot in a team is assigned its separate region for exploration. The proposed approach has been tested in different simulation environments with varying number of robots. Comparison with another approach proves the superiority of the approach in terms of reduction of exploration time in unstructured and changing environments.
Saad Javed: Institute of Mechatronics Engineering, UET Peshawar, Pakistan
Muhammad Tahir Khan: Institute of Mechatronics Engineering, UET Peshawar, Pakistan
Yasim Ahmad: Department of Mechatronics Engineering, Air University Islamabad, Pakistan
[1] C. Stachniss and W. Burgard, “Exploring unknown environments with mobile robots using coverage maps,” IJCAI Int. Jt. Conf. Artif. Intell., pp. 1127–1132, 2003.
[2] L. Bravo, U. Ruiz, R. Murrieta-cid, G. Aguilar, and E. Chavez, “A distributed exploration algorithm for unknown environments with multiple obstacles by multiple robots A distributed exploration algorithm for unknown environments with multiple obstacles by multiple robots,” no. December, 2017.
[3] K. M. Wurm, C. Stachniss, and W. Burgard, “Coordinated multi- robot exploration using a segmentation of the environment,” in 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 2008, pp. 1160–1165.
[4] P. G. C. N. Senarathne and D. Wang, “A two-level approach formulti-robot coordinated exploration of unstructured environments,” Proc. ACM Symp. Appl. Comput., pp. 274–279, 2012.
[5] F. Abrate, B. Bona, and M. Indri, “Map updating in dynamic environments,” Robot. (ISR), 2010 …, vol. 83, pp. 296–303, 2010.
[6] C. P. Mcmillen, P. E. Rybski, and M. M. Veloso, “LEVELS OF MULTI- ROBOT COORDINATION FOR DYNAMIC ENVIRONMENTS,” pp. 1–12.
[7] B. Yamauchi, “Yamauchi-frontierExploration98,” no. May, 1998.
[8] R. Sharma K., D. Honc, F. Dusek, and G. Kumar T., “Frontier Based Multi Robot Area Exploration Using Prioritized Routing,” pp. 25–30, 2016.
[9] R. Simmons et al., “Coordination for Multi-Robot Exploration and Mapping,” Proc. Natl. Conf. Artif. Intell., pp. 852–858, 2000.
[10] J. A. Castellanos, J. M. M. Montiel, J. Neira, and J. D. Tardós, “The SPmap: A probabilistic framework for simultaneous localization and map building,” IEEE Trans. Robot. Autom., vol. 15, no. 5, pp. 948–952, 1999.
[11] A. Solanas and M. A. Garcia, “Coordinated multi-robot exploration through unsupervised clustering of unknown space,” pp. 717–721, 2005.
[12] A. Pal, R. Tiwari, and A. Shukla, “Multi robot exploration using a modified A* algorithm,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 6591 LNAI, no. PART 1, pp. 506–516, 2011.
[13] A. Pal, R. Tiwari, and A. Shukla, “Multi robot exploration through pruning frontiers,” Adv. Mater. Res., vol. 462, pp. 609–616, 2012.
[14] B. Yamauchi, “Frontier-based exploration using multiple robots,” no. May, pp. 47–53, 2004.
[15] R. Zlot, A. Stentz, M. B. Dias, and S. Thayer, “Multi-robot exploration controlled by a market economy,” pp. 3016–3023, 2003.
[16] H. Lau, “Behavioural approach for multi-robot exploration,” Australas. Conf. Robot. Autom., pp. 1–7, 2003.
[17] A. Renzaglia and A. Martinelli, “Potential field based approach for coordinate exploration with a multi-robot team,” 8th IEEE Int. Work. Safety, Secur. Rescue Robot. SSRR-2010, 2010.
[18] J. De Hoog and S. Cameron, “.”
[19] R. Arezoumand, S. Mashohor, and M. H. Marhaban, “Finding Objects with Segmentation Strategy based Multi Robot Exploration in Unknown Environment,” Procedia - Soc. Behav. Sci., vol. 97, pp. 580–586, 2013.
[20] J. J. Lopez-perez, U. H. Hernandez-belmonte, M. A. Contreras-cruz, and V. Ayala-ramirez, “Distributed Multirobot Exploration Based on Scene Partitioning and Frontier Selection,” vol. 2018, 2018.
[21] H. Liu, H. Wen, and Y. Li, “Path Planning in Changing Environments by Using Optimal Path Segment Search,” pp. 1439–1445, 2009.
[22] M. L. Tazir, O. Azouaoui, M. Hazerchi, and M. Brahimi, “Mobile Robot Path Planning for Complex Dynamic Environments,” 2015.
[23] A. Vemula, K. Muelling, and J. Oh, “Path Planning in Dynamic Environments with Adaptive Dimensionality.”
[24] R. S. Society, R. S. Society, and A. Statistics, “Algorithm AS 136 A K-Means Clustering Algorithm,” vol. 28, no. 1, pp. 100–108, 2012.
[25] Harvard University, “The Assignment Problem and the Hungarian Method,” Introd. to Linear Algebr. Multivariable Calc., 2005.
[26] S. Koenig and M. Likhachev, “D* Lite,” Proc. Natl. Conf. Artif. Intell., pp. 476–483, 2002.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 03, PP. 183-188, March 2020
Power system stable operation requires, generating power of the system equivalent to the sum of all losses and affiliated load. Therefore, excess of load needs to be shed especially in islanding mode because generators are running at rated capacity. Different factors e.g. over current, low voltage level and frequency affect system performance but among them constant frequency is imperative for the steady functioning of power system because frequency is constant at every voltage level and hence, a dependable and reliable parameter to show imbalance situation. Additionally, active power deficit. System frequency is very sensitive to disturbance specially in islanding mode and is severely affected by the power imbalance between power generation and load which leads to overload or power generation loss. To shed excess load, U.F.L.S. (Under Frequency Load Shedding Scheme) is implemented. This research here presents Under Frequency Load Shedding Scheme for islanded distribution network. This proposed adaptive U.F.L.S scheme use swing equation to find power imbalance. It takes into consideration ROCOF (rate of change of frequency) and power imbalance and based on this data load is shed in single step which is better than cascading as other traditional U.F.L.S implements cascading steps and the response time to any magnitude of disturbance is also better than others. The adaptive U.F.L.S scheme is tested in Simscape Power System and Simulink (Software Packages in MATLAB) and the results shows that it stabilized the frequency thus stabilizing the system by shedding the right amount of imbalance load.
Nauman Ahmed: PG Research student, Dept. of EEE, University of Engineering and technology Peshawar, KP, Pakistan
Dr. Muhammad Naeem Arbab: Research scholar, Dept. of EEE, University of Engineering and technology Peshawar, KP, Pakistan
Hammad Israil Awan: PG Research student, Dept. of EEE, University of Engineering and technology Peshawar, KP, Pakistan
Shehla Noor: PG Research student, Dept. of EEE, University of Engineering and technology Peshawar, KP, Pakistan
[1] Photovoltaic (PV) systems Characteristics of the utility interface, IEC 61727 Standard, December 2004.
[2] K. Christensen, “Technical Regulation for Thermal Power Station Units of 1.5 MW and higher,” Energinet.dk, Fredericia, Denmark, Regulation for grid connection TF 3.2.3, 2008.
[3] P. P. Barker and R. W. de Mello, “Determining the Impact of Distributed Generation on Power Systems 1 – Radial Distributed Systems,” IEEE Power Engineering Society Summer Meeting, vol. 3, pp. 1645-1656, 2000.
[4] S. P. Chowdhury, S. Chowdhury, P. A. Crossley, and C. T. Gaunt, “UK scenario of islanded operation of active distribution networks with renewable distributed generators,” International Journal of Electrical Power & Energy Systems 33, vol. 34, no. 12, pp. 2585-2591, 2011.
[5] R. A. Walling and N. W. Miller, “Distributed Generation Islanding Implications on Power System Dynamic Performance,” IEEE Power Engineering Society Summer Meeting, vol.1, pp. 92-96, 2002.
[6] IEEE Standard for Interconnecting Distributed Resources into Electric Power Systems, IEEE Standard 1547TM, 2003.
[7] Md. Quamrul, Ahsan, A. H. Chowdhury, S. S. Nawaz, I. H. Bhuyan, M. A. Haque, and H. Rahman, “Technique to Develop Auto Load Shedding and Islanding Scheme to Prevent Power System Blackout,” IEEE Transactions on Power Systems, pp. 198–205, 2012.
[8] X. Cao, I. Abdulhadi, C. Booth and G. Burt, “Defining the Role of Wide Area Adaptive Protection in Future Networks,” IEEE international Universities Power Engineering Conference (UPEC), pp.1-6, 2012.
[9] J. A. Laghari, H. Mokhlis, A. B. Halim, A. Bakar, M. Karimi and A. Shahriari, “A New Under-Frequency Load Shedding Scheme for Islanded Distribution Network” IEEE Innovative Smart Grid Technologies (ISGT), pp. 1–6, 2013.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 03, PP. 178-182, March 2020
The reliable and quality power supply is vital for power system operation. Its importance become significant when dealing with sensitive load areas like hospitals, banks, airports, radar system, military offices and data centers. Their proper operation depends on uninterrupted and reliable power supply. In this regard, there is an emergent need to provide generator backup capacity in the events of power failure or blackout. These Generators can only be effective if they are maintained and operated properly. Problems like the remote monitoring of fuel tank, total load and the battery voltage of the generator are of main concern for better operation. To prevent these problems, the advance IOT based monitoring system is designed using an Arduino controller board. This system uses the fuel gauge for sensing the fuel level and a current transformer measures the load on generator, giving real time analogue data to the controller. The data is converted into digital through an ADC convertor and the instructions are programmed for every parameter in an IDE (Integrated Development Environment). This data can also be monitored on an android app or on laptop using esp8266 WIFI module as an interface between controller and clouds. A hardware based prototype is developed and installed on real generator. Results show real time remote monitoring of generator ensuring its reliable operation and timely indication of need of maintenance.
Jawad Ul Islam: Department of Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan
Muhammad Azaz: Department of Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan
Syed Abuzar Bacha: Department of Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan
Sajad Ullah: Department of Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan
Muhammad Asif et al “Context Aware Fuel Monitoring System for Cellular Sites”
Gbenga et al “Design, construction, and implementation of remote fuel-level monitor system” in EURASIP Journal on Wireless Communications and Networking2014:76
Sadeque Reza Khan et al “Real Time Generator Fuel Level Measurement Meter Embedded with Ultrasound Sensor and Data Acquisition System” in Journal of Automation and Control Engineering Vol. 1, No. 4, December 2013.
J A Gundar et al “Mechatronic design solution for fuel level monitoring using pressure sensor” Published in: Asia-Pacific World Congress on Computer Science and Engineering IEEE Xplore: 05 March 2015.
Areeg Abubakr Ibrahim Ahmed et al “Fuel management system” Published in: 2017 International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE) on 02 March 2017.
Senthil Raja et al “DETECTION OF FUEL THEFT IN HEAVY VEHICLE” International Journal of Advanced Engineering Technology E-ISSN 0976-3945.
Abel Avitesh Chandra et al “Cloud Based Real-time Monitoring and Control of Diesel Generator using the IoT Technology”.
An Introduction to the Internet of Things (IoT)’, Lopez Research, 2013.
Madakam, S., Ramaswamy, R., and Tripathi, S.: ‘Internet of Things (IoT): A literature review’, Journal of Computer and Communications, 2015, 3, (05), pp. 164.
Sushil BhardwajA STUDY OF INFRASTRUCTURE AS A SERVICE (IAAS)” IJEIT 2010, 2(1), 60-6.
N. Khan and S. A. Bacha, "Proposing Optimal ARMA Based Model for Measurement Compensation in the State Estimation," 2017 International Conference on Frontiers of Information Technology (FIT), Islamabad, 2017, pp. 299-304.
Naeem Khan, Syed Abuzar Bacha, Shahrukh Ahmad, Afrasiab, “Improvement of compensated closed-loop Kalman filtering using autoregressive moving average model”, Measurement 134(2019) 266-279.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 03, PP. 173-177, March 2020
In this paper a review on power quality is discussed. Power quality is becoming a significant issue because of many reasons; few of these reasons are many instruments that are gaining familiarity in use to enhance the performance of energy system like advance power electronics and drivers of adjustable-speed motor. But the problem of using these instruments is that they enhance the level of harmonic components in distribution network.The control dependent devices and loads that relay on the microprocessor and microcontroller are most prone to problem of quality issue. Due to distortion in the system of energy there is severe effect on the interconnected networks that are common today. The reason behind it is the failure of an entire component. There is increasing growth of problems of voltages as voltage harmonics, over voltage, under voltage, etc. are causing awareness of issues in the power quality. So, the need of both better and high quality of power is increasing extremely among end users. Considering different cases any suitable option can be selected for power quality improvement.
Muhammad Aamir: Department of Electrical Engineering, University of Engineering and Technology Peshawar
[1] Sankaran, C., Power quality. 2001: CRC press.
[2] Bollen, M.H., Understanding power quality problems, in Voltage sags and Interruptions. 2000, IEEE press.
[3] Ghosh, A. and G. Ledwich, Power quality enhancement using custom power devices. 2012: Springer Science & Business Media.
[4] Zhang, S., et al., Control Strategy for Dynamic Voltage Restorer Under Distorted and Unbalanced Voltage Conditions. IEEE International Conference On Industrial Technology (ICIT), 2019: p. 411-416.
[5] Akagi, H., New trends in active filters for power conditioning. Industry Applications, 1996. 32(6): p. 1312-1322.
[6] Alferov, Z.I., The history and future of semiconductor heterostructures. Semiconductors, 1998. 32(1): p. 1-14.
[7] García, O., et al., Single phase power factor correction: A survey. IEEE Transactions on Power Electronics, 2003. 18(3): p. 749-755.
[8] Grady, W.M. and S. Santoso, Understanding power system harmonics. IEEE Power Engineering Review, 2001. 21(11): p. 8-11.
[9] Marketos, P., A.J. Moses, and J.P. Hall, Effect of DC voltage on AC magnetisation of transformer core steel. J. Elect. Eng, 2010. 61: p. 123-125.B
[10] Hussain, Z., et al., Technical Losses Ratio: Analysis of Electric Power Transmission and Distribution Network. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2018. 18(9): p. 131-136.
[11] Dugan, R.C., et al., Electric power systems quality. 2004, McGraw-hill.
[12] Myneni, H., G.S. Kumar, and D. Sreenivasarao, Dynamic dc voltage regulation of split-capacitor DSTATCOM for power quality improvement. IET Generation, Transmission & Distribution, 2017. 11(17): p. 4373-4383.
[13] Ramachandaramurthy, V.K., et al., Supervisory control of dynamic voltage restorers. IEE Proceedings-Generation, Transmission and Distribution, 2004. 151(4): p. 509-516.
[14] Gupta, A.R. Effect of optimal allocation of multiple DG and D-STATCOM in radial distribution system for minimizing losses and THD. in 2017 7th International Symposium on Embedded Computing and System Design (ISED). 2017. IEEE.
[15] Kullarkar, V.T. and V.K. Chandrakar. Power quality improvement in power system by using static synchronous series compensator. in 2017 2nd International Conference for Convergence in Technology (I2CT). 2017. IEEE.
[16] Esmaili, M., H.A. Shayanfar, and R. Moslemi, Locating series FACTS devices for multi-objective congestion management improving voltage and transient stability. European journal of operational research, 2014. 236(2): p. 763-773.
[17] Kai, X. and G. Kusic, Application of thyristor-controlled phase shifters to minimize real power losses and augment stability of power systems. IEEE Transactions on Energy Conversion, 1988. 3(4): p. 792-798.
[18] Rahimzadeh, S. and M.T. Bina, Looking for optimal number and placement of FACTS devices to manage the transmission congestion. Energy conversion and management, 2011. 52(1): p. 437-446.
[19] Thangalakshmi, S. and P. Valsalal, CONGESTION MANAGEMENT USING HYBRID FISH BEE OPTIMIZATION. Journal of Theoretical & Applied Information Technology, 2013. 58(2).
[20] Kulkarni, P.P. and N. Ghawghawe. Optimal placement and parameter setting of TCSC in power transmission system to increase the power transfer capability. in 2015 International Conference on Energy Systems and Applications. 2015. IEEE.
[21] Dhansekar, P. and K. Elango, Congestion management in power system by optimal location and sizing of UPFC. IOSR Journal of Electrical and Electronics Engineering, 2013. 6(1): p. 49-53.
[22] Kojovic, L. and S. Hassler, Application of current limiting fuses in distribution systems for improved power quality and protection. IEEE Transactions on Power Delivery, 1997. 12(2): p. 791-800.
[23] Smith, R., et al., Solid-state distribution current limiter and circuit breaker: application requirements and control strategies. IEEE Transactions on Power Delivery, 1993. 8(3): p. 1155-1164.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 03, PP. 168-172, March 2020
Environmental and economic demands prompt to transportation agencies to increase in the use of Reclaimed Asphalt Pavement (RAP) in asphalt pavements. The use of RAP in pavements often require a rejuvenator to reduce the cracking. Estimating a best rejuvenator dosage is crucial to increase its advantages. Large quantity of waste oils from automobiles and restaurants can inflict adverse impact if it is not properly disposed. Recycling of these waste oils can be a suitable option, to reduce the use of natural resources and economic benefits. In this study, three rejuvenators were explored such as Waste Engine Oil (WEO), Waste Vegetable Oil (WVO) and Waste Brown Grease (WBG) with dosages of 5%, 10% and 15%. Physical testing (i.e. penetration, softening point, flash & fire point and ductility) were conducted in the lab on virgin and RAP binder with rejuvenators. WEO and WVO helps in softening when mixed with RAP binder. According to the results, both WEO and WVO can improve the properties of the RAP binder but WBG gives a little bit improvement.
Sameer Ahmed Mufti: Department of Civil Engineering, Sarhad University of Science & Information Technology, Peshawar, Pakistan
Qaiser Iqbal:Department of Civil Engineering, Sarhad University of Science & Information Technology, Peshawar, Pakistan
Fazli Kareem: Department of Civil Engineering, Sarhad University of Science & Information Technology, Peshawar, Pakistan
Muhammad Babar Ali Rabbani: Department of Civil Engineering, Sarhad University of Science & Information Technology, Peshawar, Pakistan
Muhammad Alam: Department of Civil Engineering, Abasyn University Peshawar Campus
[1] "ASTM D 113-99, Standard Test Method for Ductility of Bituminous Materials."
[2] "ASTM D 2172 - 95, Standard Test Methods for Quantitative Extraction of Bitumen From Bituminous Paving MIxtures."
[3] "ASTM D 3143 - 92, Standard Test Method for Flash and Fire Points by Cleveland Open Cup."
[4] "ASTM D 36 - 95, Standard Test Method for Softening Point of Bitumen (RIng and Ball Appratus)."
[5] ASTM. "D5-97 Standard test method for penetration of bituminous materials." 1998 Annual Book of ASTM Standards, American Society for Testing and Materials, Philadelphia (1998): 19103-1187.
[6] "Baek, S.-H., Hong, J.-P., Kim, S.U., Choi, J.-S., Kim, K.-W., 2011. Evaluation of fracture toughness of semirigid asphalt concretes at low temperatures. Transp. Res. Rec."
[7] "Bailey, H. K., and S. E. Zoorob. "The use of vegetable oil as a rejuvenator for asphalt mixtures." Eurasphalt & Eurobitume Congress, 5th, 2012, Istanbul, Turkey. No. A5EE-161. 2012."
[8] "Cavalli, M.C., Zaumanis, M., Mazza, E., Partl, M.N., Poulikakos, L.D., 2018. Effect of ageing on the mechanical and chemical properties of binder from RAP treated with bio-based rejuvenators. Compos. B Eng. 141, 174e181."
[9] "Fernandes, Sara RM, Hugo MRD Silva, and Joel RM Oliveira. "Developing enhanced modified bitumens with waste engine oil products combined with polymers." Construction and Building Materials 160 (2018): 714-724."
[10] "J. L. A. Filho, L. G. M. Moura, and A. C. S. Ramos, “Liquid-liquid extraction and adsorption on solid surfaces applied to used lubricant oils recovery,” Brazilian Journal of Chemical Engineering, vol. 27, no. 4, pp. 687–697, 2010."
[11] "Mangiafico, S., Sauz_eat, C., Benedetto, H.Di, Pouget, S., Olard, F., 2015. Influence of a recycling agent of vegetable origin on complex modulus and fatigue performances of bituminous mixtures produced with Reclaimed Asphalt Pavement, 629, 1-14."
[12] Shakirullah, Mohammad, et al. "Shakirullah, Mohammad, et al. "Environmentally friendly recovery and characterization of oil from used engine lubricants." Journal of the Chinese Chemical Society 53.2 (2006): 335-342."
[13] Wang, Fuyu, et al. "Effect of waste engine oil on asphalt reclaimed properties." AIP Conference Proceedings. Vol. 1973. No. 1. AIP Publishing, 2018."
[14] "Zhu, H., Xu, G., Gong, M., Yang, J., 2017. Recycling long-term-aged asphalts using bio-binder/plasticizer-based rejuvenator. Construct. Build. Mater. 147, 117-129."
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 03, PP. 161-167, March 2020
Environment is basic and most important thing we have in our life if it is being ruined then it is our responsibility to prevent it. Since the leftover (wrappers, bottles and plastic packaging etc.) of non-green products cannot be disposed after the products are consumed; in that case they are buried, burnt and thrown into the sea; in all the cases, they pollute the environment, harm earth or poison our water. These three things (water, earth and air) are necessary for healthy life on earth. In order to prevent this the consumers are needed to buy the products which can be easily disposed with any harm. In this regard, this study has been conducted to analyze the buying behavior of consumers towards the green products. Data was collected by the help of questionnaire adopted from the literature. Data was collected online (by sending the link of Google form in email), at superstores, marts, supermarkets and shopping malls of Hyderabad Pakistan. The number of valid responses collected from the respondents was 200. Data analysis was conducted in the statistical package for social sciences (SPSS) version 22. Internal consistency of data was check by using the cronbach`s alpha test. Frequency distribution of demographic characteristics of the respondents was taken out along with descriptive statistics (mean, standard deviation, skewness and kurtosis). Skewness and kurtosis were calculated to indicate the normality and when it was revealed that the data was normal, the developed hypothesis were tested by Analysis of variance (ANOVA) test. Furthermore, the Pearson correlation of demographic characteristics (age, income and qualification) was calculated with Consumer`s interest, will and buying behavior towards the green products. On the same time Pearson correlation between the various constructs was also calculated. In last regression analysis was conducted on the various constructs. It was concluded that demographics were not in any association with the consumer`s interest, will and buying behavior but consumers` will, interest and buying behavior towards green products were weakly correlated with one another.
Kanwal Bai: Department of Industrial Engineering and Management, Mehran University of Engineering and Technology, Jamshoro, Pakistan
Muhammad Saad Memon: Department of Industrial Engineering and Management, Mehran University of Engineering and Technology, Jamshoro, Pakistan
Sonia Irshad Mari: Department of Industrial Engineering and Management, Mehran University of Engineering and Technology, Jamshoro, Pakistan
[1] H. R. da S. Tamashiro, J. A. G. da Silveira, E. M. Merlo, and C. R. Acevedo, “Structural Equation Modeling Applied to a Study on the Background of Green Buying Behaviors,” PARIPEX - Indian J. Res., vol. 3, no. September, pp. 1–8, 2014.
[2] U. Makhdoomi and U. Nazir, “Consumers Purchase Behavior towards Green Products,” in Marketing in Emerging Economies, Manakin Press Pvt Ltd, 2016.
[3] M. Danish, S. Ali, M. A. Ahmad, and H. Zahid, “The influencing factors on choice behavior regarding green electronic products: Based on the green perceived value model,” Economies, vol. 7, no. 4, 2019, doi: 10.3390/economies7040099.
[4] R. Risqiani, “Antecedents of Consumer Buying Behavior Towards on Environmentally Friendly Products,” Bus. Entrep. Rev., vol. 17, no. 2, pp. 145–164, 2017, doi: 10.25105/ber.v17i1.5196.
[5] J. Hojnik, M. Ruzzier, and M. K. Ruzzier, “Transition towards sustainability: Adoption of eco-products among consumers,” Sustain., vol. 11, no. 16, 2019, doi: 10.3390/su11164308.
[6] C. Gan, H. Y. Wee, L. Ozanne, and T.-H. Kao, “Consumers ’ purchasing behavior towards green products in New Zealand,” Innov. Mark., vol. 4, no. 1, pp. 93–102, 2008.
[7] W. Atthirawong and W. Panprung, “A STUDY ON THE CONSUMERS â€TM BUYING BEHAVIOR TOWARDS,” no. September, pp. 8–13, 2017.
[8] A. Arora and H. S. Chahal, “Exploring factors affecting consumer’s behaviour towards green products and green marketing - A study of Punjab,” J. Agroecol. Nat. Resour. Manag., vol. 4, no. 4, pp. 356–366, 2017.
[9] Y. C. Yang, “Consumer Behavior towards Green Products,” J. Econ. Bus. Manag., vol. 5, no. 4, pp. 160–167, 2017, doi: 10.18178/joebm.2017.5.4.505.
[10] M. N. Mohd Noor, M. S. Masuod, A. M. Abu Said, I. F. Kamaruzaman, and M. A. Mustafa, “Understanding consumers and green product purchase decision in Malaysia: A structural equation modeling - partial least square (SEM-PLS) approach,” Asian Soc. Sci., vol. 12, no. 9, pp. 51–64, 2016, doi: 10.5539/ass.v12n9p51.
[11] M. K. Durgamani and K. Abirami, “A study on consumers ’ buying behaviour towards selected green products in kumbakonam .,” vol. 119, no. 18, pp. 3177–3193, 2018.
[12] M. A. Collins, “Consumer Behavior towards Green Products: An Exploratory Study,” Int. J. Manag. Bus. Strateg., vol. 3, no. 1, pp. 160–167, 2014, doi: 10.18178/joebm.2017.5.4.505.
[13] Y. Hassan, “Understanding Consumer Decision Making Towards Green Electronic Products,” South East Asia J. Contemp. Business, Econ. Law, vol. 2, no. 1, pp. 27–33, 2013.
[14] B. Beharrell and T. J. Denison, “Involvement in a routine food shopping context,” Br. Food J., vol. 97, no. 4, pp. 24–29, 1995.
[15] F. Liñán and Y. Chen, “Development and Cross-Cultural Application of a Specific Instrument to Measure Entrepreneurial Intentions,” Entrep. theory Pract., vol. 33, no. 3, pp. 593–617, 2009.
[16] K. Lee, “Gender differences in Hong Kong adolescent consumers’ green purchasing behavior,” J. Consum. Mark., vol. 26, no. 2, pp. 87–96, 2009.
[17] L. Rensis, “A technique for the measurement of attitudes,” Arch. Psychol., vol. 22, no. 140, p. 55, 1932.
[18] M. Tavakol and R. Dennick, “Making sense of Cronbach ’ s alpha,” Int. J. Med. Educ. 2011, vol. 2, pp. 53–55, 2011, doi: 10.5116/ijme.4dfb.8dfd.
[19] M. J. Blanca, R. Alarcón, J. Arnau, R. Bono, and R. Bendayan, “Non-normal data : Is ANOVA still a valid option ?,” Psicothema, vol. 29, no. 4, pp. 552–557, 2017, doi: 10.7334/psicothema2016.383.
[20] E. Ostertagova and O. Ostertag, “Methodology and Application of One-way ANOVA,” Am. J. Mech. Eng., vol. 1, no. 7, pp. 256–261, 2013, doi: 10.12691/ajme-1-7-21.
[21] V. Bewick, L. Cheek, and J. Ball, “Statistics review 7 : Correlation and regression,” Citical Care 7, 2003. .
[22] R. J. Casson and L. Dm, “Review Understanding and checking the assumptions of linear regression : a primer for medical researchers,” Clin. Experiment. Ophthalmol., vol. 42, no. 6, pp. 590–596, 2014, doi: 10.1111/ceo.12358.
[23] H. Kim, “Statistical notes for clinical researchers : assessing normal distribution ( 2 ) using skewness and kurtosis,” 2013.
[24] S. ManiKandan, “Frequency distribution,” J. Pharmacol. Pharmacother., vol. 2, no. 1, pp. 54–56, 2011.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 154-160, February 2020
The traditional energy sources used from decades for the purpose to generate electricity and fossil fuels depletion fear are the factors making world to search for the alternative energy resources. Pakistan is located in such a region have blessed with high potential of solar energy but due to the expensive initial cost and unpredictable nature of solar energy makes it uneconomical. Shortfall in most of the rural areas because of no access to grid energy. Although some remote communities serve only by fuel generators for a time being, but increase in the price of fuel makes the system non-economical, also the fuel generators have harmful effect by emiting carbon dioxide and carbon mono oxide gases. To decrease dependency on hydrocarbon base generator the Solar systems are used to overcome the shortage as a best solution for harnessing the carbon free energy. To increase the output of the Solar system the dual axes tracker is presented in the research, which is designed, to track the solar energy along both of the axes for a solar PV module. The PV module operates efficiently at maximum power point as Sun light is incident perpendicularly on it. The tracker will keep the PV module just at angle perpendicular to the solar energy to harness it at best possible amount to use for different purposes.
Lutf ur Rahman: US Pakistan Center For Advanced Studies in Energy, University of Engineering and Technology, Peshawar, Pakistan
Shafi ur Rehman: US Pakistan Center For Advanced Studies in Energy, University of Engineering and Technology, Peshawar, Pakistan
Muhammad Raheel: US Pakistan Center For Advanced Studies in Energy, University of Engineering and Technology, Peshawar, Pakistan
[1] Lindberg, V., &Mäki, J. P. (2010). SKF dual axis solar tracker-From concept to product.
[2] Dobrzański, L. A., A. Drygała, M. Giedroć, and M. Macek. "Monocrystalline silicon solar cells applied in photovoltaic system." Journal of achievements in materials and manufacturing engineering 53, no. 1 (2012): 7-13.
[3] Ullal, H.S., Stone, J.L., Zweibel, K., Surek, T. and Mitchell, R.L., 1991. Polycrystalline thin-film solar cells and modules. National Renewable Energy Laboratory.
[4] Mane Ajay D. PatilAjit B. PawarPrajot H. Salgar Kiran S. Department of Mechanical, S. B. Patil college of Engg, Pune University .
[5] del Rosario JR, Gustilo RC, Dadios EP. Optimization of A Small Scale Dual-Axis Solar Tracking System Using Nanowatt Technology. Journal of Automation and Control Engineering Vol. 2014 Jun;2(2).
[6] Tyagi, V. V., et al. "Progress in solar PV technology: Research and achievement." Renewable and sustainable energy reviews 20 (2013): 443-461.
[7] Mane Ajay D. Patil Ajit B. Pawar Prajot H. Salgar Kiran S. Department of Mechanical, S. B. Patil college of Engg, Pune University
[8] Kaygsuz K. Energy situation, future developments, energy saving, and energy efficiency in Turkey. Energy Sources. 1999 Apr 1;21(5):405-16.
[9] Kiranmayi R, Reddy KV, Kumar MV. Modeling and a MPPT method for solar cells. J. Eng. Applied Sci. 2008;3(1):128-33.
[10] Mousazadeh H, Keyhani A, Javadi A, Mobli H, Abrinia K, Sharifi A. A review of principle and sun-tracking methods for maximizing solar systems output. Renewable and sustainable energy reviews. 2009 Oct 1;13(8):1800-18.
[11] Singh GK. Solar power generation by PV (photovoltaic) technology: A review. Energy. 2013 May 1;53:1-3.
[12] Rizk JC, Chaiko Y. Solar tracking system: more efficient use of solar panels. World Academy of Science, Engineering and Technology. 2008 Jul;41:313-5.
[13] del Rosario JR, Gustilo RC, Dadios EP. Optimization of A Small Scale Dual-Axis Solar Tracking System Using Nanowatt Technology. Journal of Automation and Control Engineering Vol. 2014 Jun;2(2).
[14] Wang, T. K. (2017). Comparative Study between Azimuth-Elevation and Tilt-Roll Sun-Tracking Systems in Range of Motion (Doctoral dissertation, UTAR).
[15] Muneer T, Asif M, Munawwar S. Sustainable production of solar electricity with particular reference to the Indian economy. Renewable and Sustainable Energy Reviews. 2005 Oct 1;9(5):444-73.
[16] Design and Analysis of Dual Axes Tracking System for Solar Photovoltaic Modules Hema Venkatesh Bezawada, 2A.S. Sekhar, 3K.S. Reddy Post Graduate Student, 2Professor, 3Professor
[17] Barsoum N. Fabrication of dual-axis solar tracking controller project. Intelligent Control and Automation. 2011 Jun 3;2(02):57.
[18] Wang, jing-min, and Chia-Liang Lu."Design and implementation of a sun tracker with a dual-axis single motor for an optical sensor-based photovoltaic system. Sensors 13.3(2013): 3157-3168
[19] Farooqui, S. Z. (2014). Prospects of renewables penetration in the energy mix of Pakistan. Renewable and Sustainable Energy Reviews, 29, 693-700.
[20] Kassem, A., & Hamad, M. (2011, April). A microcontroller-based multi-function solar tracking system. In Systems Conference (SysCon), 2011 IEEE International (pp. 13-16). IEEE.
[21] Fadil, S., Capar, A. C., & Caglar, K. (2013, November). Two axis solar tracker design and implementation. In Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on (pp. 554-557). IEEE.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 161-166, February 2020
Pakistan has been blessed with one of the highest direct solar radiation in the world. This provides great opportunity for harvesting clean energy. The rapid urbanization leads to higher energy demand per capita. This in conjunction with the global commitment to curb environmental impacts of conventional energy calls for investing and exploring the renewable energy resources. To study the concentrated solar power (CSP) based technology for Pakistan, a 20 MW of parabolic trough concentrated solar power plant with six hours thermal energy storage (TES) has been designed and simulated in this study. Quetta has been chosen for the technical feasibility of proposed power plant where annual direct normal irradiance (DNI) is 2206 kWh/m2. The power plant consists of 33 numbers of loops each one has aperture area 5248 m2 with a solar multiple of 2. VP-1 is chosen as heat transfer fluid (HTF) due to its high thermal stability and high melting point. The proposed CSP plant can generate annual electricity of 58.4 GWH with a capacity factor of 37.1 %. The simulation results indicate that proposed power plant can produced high amount of energy and such power plant can be installed to overcome the energy crisis of Pakistan.
Muhammad Raheel khan: U.S Pakistan Center for Advanced Studies in Energy (USPCAS-E),University of Engineering and Technology Peshawarr Pakistan
Muhammad Arif khattak: U.S Pakistan Center for Advanced Studies in Energy (USPCAS-E),University of Engineering and Technology Peshawarr Pakistan
Muhammad Yousaf: U.S Pakistan Center for Advanced Studies in Energy (USPCAS-E),University of Engineering and Technology Peshawarr Pakistan
Abidullah: U.S Pakistan Center for Advanced Studies in Energy (USPCAS-E),University of Engineering and Technology Peshawarr Pakistan
Lutf ur Rahman: U.S Pakistan Center for Advanced Studies in Energy (USPCAS-E),University of Engineering and Technology Peshawarr Pakistan
https://population.un.org/wpp/Publications/Files/WPP2019_Highlights.pdf.
Praveen, R. P., Baseer, M. A., Awan, A. B., & Zubair, M. (2018). Performance Analysis and Optimization of a Parabolic Trough Solar Power Plant in the Middle East Region. , (4), 1-18.
Corona, B., & San Miguel, G. (2015). Environmental analysis of a Concentrated Solar Power (CSP) plant hybridized with different fossil and renewable fuels. Fuel, 145, 63-69.
Bishoyi, D., & Sudhakar, K. (2017). Modeling and performance simulation of 100 MW PTC based solar thermal power plant in Udaipur India. , , 216-226.
Montes, M. J., Abánades, A., & Martínez-Val, J. M. (2009). Performance of a direct steam generation solar thermal power plant for electricity production as a function of the solar multiple. , (5), 679-689.
Kalogirou, S. A. (2013). Solar thermoelectric power generation in Cyprus: Selection of the best system. , , 278-281.
Abbas, M., Belgroun, Z., Aburidah, H., & Merzouk, N. K. (2013). Assessment of a solar parabolic trough power plant for electricity generation under Mediterranean and arid climate conditions in Algeria. , , 93-102.
Kearney, D., Kelly, B., Herrmann, U., Cable, R., Pacheco, J., Mahoney, R., ... & Potrovitza, N. (2004). Engineering aspects of a molten salt heat transfer fluid in a trough solar field. , (5-6), 861-870
Al-Soud, M. S., & Hrayshat, E. S. (2009). A 50 MW concentrating solar power plant for Jordan. , (6), 625-635.
Hosseini, R. E. Z. A., Soltani, M., & Valizadeh, G. (2005). Technical and economic assessment of the integrated solar combined cycle power plants in Iran. , (10), 1541.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 149-153, February 2020
In this paper , Tungsten Disulfide is utilized for the development of an efficient model, using SCAPS one dimensional Simulator. Performance of the developed model is compared with other thin film solar cells currently under study. An efficient solar cell model with comparable photovoltaic parameters to the recent thin film models is obtained. Taking ZnO window layer material, ZnSe as buffer layer material, WS2 as absorption layer material and Mg as back surface field with back reflector a 20% efficient, design with 0.9Voc, 25 mA/cm2 current density and fill factor of 85% is developed.
Sobab Khan: Department of Renewable Energy Engineering, Center.For. Advanced.Studies.in. Energy University of Engineering and Tecnology.Peshawar 25000, Pakistan
Mudasar Rashid: Department of Renewable Energy Engineering, Center.For. Advanced.Studies.in. Energy University of Engineering and Tecnology.Peshawar 25000, Pakistan
Waqas Rahim: Department of Electrical Engineering, CECOS University of IT and Emerging Sciences
Muhammad Aitezaz Hussain: Department of Renewable Energy Engineering, Center.For. Advanced.Studies.in. Energy University of Engineering and Tecnology.Peshawar 25000, Pakistan
Ahtasham Rahim: Department of Renewable Energy Engineering, Center.For. Advanced.Studies.in. Energy University of Engineering and Tecnology.Peshawar 25000, Pakistan
[1] Barnett AM, Rand JA, Hall RB, Bisaillon JC, DelleDonne EJ, Feyock BW, Ford DH, Ingram AE, Mauk MG, Yasko JP, Sims PE. High current, thin silicon-on-ceramic solar cell. Solar Energy Materials & Solar Cells 2001; 66:45–50
[2] Aberle Armin G. Fabrication and characterisation of crystalline silicon thinfilm materials for solar cells. Thin Solid Films 2006; 511–512:26–34.
[3] Fave A, Quoizola S, Kraiem J, Kaminski A, Lemiti M, Laugier A. Comparative study of LPE and VPE silicon thin film on porous sacrificial layer. Thin Solid Films 2004; 451–452:308–11.
[4] Sagana P, Wisz G, Bester M, Rudyj IO, Kurilo IV, Lopatynskij IE, Virt IS, Kuzma M, Ciach R. RHEED study of CdTe and HgCdTe thin films grown on Si by pulse laser deposition. Thin Solid Films 2005; 480–481:318–21.
[5] M. Powalla M, Dimmler B. CIGS solar cells on the way to mass production: Process statistics of a 30 cm ×30 cm module line. Solar Energy Materials & Solar Cells 2001; 67:337–44.
[6] Hollingsworth JA, Banger KK, Jin MHC, Harris JD, Cowen JE, Bohannan EW, Switzer JA, Buhro WE, Hepp AF. Single source precursors for fabrication of I–III–VI 2 thin-film solar cells via spray CVD. Thin Solid Films 2003; 431–432:63–7.
[7] Ito S, Murakami TN, Comte P, Liska P, Grätzel C, Nazeeruddin MK, Grätzel M. Fabrication of thin film dye sensitized solar cells with solar to electric power conversion efficiency over 10%. Thin Solid Films 2008; 516:4613–9.
[8] Sarah Messina, Nair MTS, Nair PK. Antimony sulfide thin films in chemically deposited thin film photovoltaic cells. Thin Solid Films 2007; 515:5777–82.
[9] Liehr M, Dieguez-Campo M. Microwave PECVD for large area coating. Surface & Coatings Technology 2005; 200:21–5.
[10] Sathyamoorthy R, Senthilarasua S, Lalithaa S, Subbarayana A, Natarajana K, Xavier Mathew. Electrical conduction properties of flash evaporated Zinc Phthalocyanine (ZnPc) thin films. Solar Energy Materials & Solar Cells 2004; 82:169–77.
[11] Mainz R, Klenk R, Lux-Steiner MCh. Sulphurisation of gallium-containing thin-film precursors analysed in-situ. Thin Solid Films 2007; 515:5934–7.
[12] Yoosuf R, Jayaraj MK. Optical and photoelectrical properties of b-In2S3 thin films prepared by two-stage process. Solar Energy Materials & Solar Cells 2005; 89:85–94.
[13] Nishiokaa K, Takamotob T, Aguib T, Kaneiwab M, Uraokaa Y, Fuyuki T. Annual output estimation of concentrator photovoltaic systems using high-efficiency InGaP/InGaAs/Ge triple-junction solar cells based on experimental solar cell’s characteristics and field-test meteorological data. Solar Energy Materials & Solar Cells 2006; 90:57–67.
[14] Antolín E, Martí A, Stanley CR, Farmer CD, Cánovas E, López N, Linares PG, Luque A. Low temperature characterization of the photocurrent produced by two-photon transitions in a quantum dot intermediate band solar cell. Thin Solid Films 2008; 516:6716–22.
[15] Woods M Lawrence, Kalla Ajay, Gonzalez Damian, Ribelin Rosine. Widebandgap CIAS thin-film photovoltaics with transparent back contacts for next generation single andmulti-junction devices.Materials Science and Engineering B 2005; 116:297–302.
[16] Phani G, Tulloch G, Vittorio D, Skryabin I. Titania solar cells: new photovoltaic technology. Renewable Energy 2001; 22:303–9.
[17] Grätzel M. Dye-sensitized solar cells. Journal of Photochemistry and Photobiology C: Photochemistry Reviews 2003; 4:145–53.
[18] R. G. W. Wyckoff, Crystal Structures (Inter science, New York, 1963).
[19] E. Bucher, in: Photo electrochemistry and Photovoltaics of Layered Semiconductors, edited by A. Aruchamy (Kluwer Academic Publishers, Dordrecht, 1992), p. 1.
[20] H. Tributsch, Ber. Bunsenges. Phys. Chem. 81, 362 (1977)
[21] A. Matthäus, A. Ennaoui, S. Fiechter, T. Kiesewetter, K. Diesner, I. Sieber, W. Jaegermann, T. Tsirlina, R. Tenne, J. Electro chem. Soc. 144, 1013 (1996)
[22] G. Kaur, A. Mitra, K. Yadav, Pulsed laser deposited Al-doped ZnO thin flms for optical applications. Prog. Natural Sci. Mater. Int. 25(1), 12–21 (2015)
[23] B. von Roedern, How do buffer layers affect solar cell performance and solar cell stability? MRS Online Proc Library Arch 668 (2001)
[24] C. Schwartz et al., Electronic structure study of the CdS buffer layer in CIGS solar cells by X-ray absorption spectroscopy: Experiment and theory. Sol. Energy Mater. Sol. Cells 149, 275–283 (2016)
[25] K. Chopra, P. Paulson, V. Dutta, Thin-flm solar cells: an overview. Prog. Photovolt. Res. Appl. 12(23), 69–92 (2004)
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 143-148, February 2020
Delay-tolerant Networks (DTN) are wireless networks destined to serve places or functions with minimal or not well-established infrastructure. The DTNs are challenged by an intermittent connectivity between the adjacent nodes, and disconnections may occur due to power outages, technical issues or insufficient architecture. To address the transmitting phenomena of relatively large delays and error rates, an interest-based routing approach, in which different interests and data relay to each node will enhance the DTN capacity. The use of throw-boxes will increase the performance of the networks, and an efficient buffer management policy shall be administered to improve the performance of the network. In this paper, a hybrid buffer management policy is enacted in throw-boxes for increasing the performance and energy efficiency of the network. When the buffer becomes full, data with TTL less than 5 hours will be deleted first, and then the interest type with the most copies diffused or the more popular one in the network with a high hop count will be deleted from the throw-boxes so that the data would flow between nodes and other throw-boxes to reach the destination. Of course, the interest with less popularity can also reach the destination by utilizing this approach. Results show that the buffer management policy improves the performance of challenged networks by increasing the delivery probability, the overhead ratio and the delay are decreased and the average remaining energy has better performance compared to other routing protocols.
Abdul Basit: UET Peshwar
Safi Ullah Khan: PTCL
Omair Sabir: Muhammadi Autos Corporation
[1] Mohamed, O., Zohra K and Hasna, S. “Simulation comparison and analysis of network throughput in DSDV and AODV and DSR mobile Adhoc Network Protocols,” African Review of Science, Technology, and Development, vol. 1, no.2, 2016.
[2] Sobin, C, C. Raychoudhury V, Marfia G. and Singla, A, “A survey of routing and data dissemination in delay tolerant networks,” Journal of Network and Computer Applications vol. 67, pp. 128-146, 2016.
[3] Song Libo and David F. Kotz, “Routing in Mobile Opportunistic Networks,” Mobile Opportunistic Networks: Architectures, Protocols, and Applications vol.1, 2016.
[4] Moetesum Momina, Fazle Hadi, Muhammad Imran, Abid Ali Minhas and Athanasios V. Vasilakos, “An adaptive and efficient buffer management scheme for resource-constrained delay tolerant networks,” Wireless Networks vol.22, no. 7, pp.2189-2201, 2016.
[5] Ahmed Kawakib, K. Mohd Hasbullah Omar and Suhaidi Hassan, “Routing Strategies and Buffer Management in Delay Tolerant Networks,” Journal of Telecommunication, Electronic and Computer Engineering (JTEC) vol.8, no.10, pp.139-143, 2016.
[6] Vahdat D. Becker, et al, “Epidemic routing for partially connected ad hoc networks. Tech. Rep., Technical Report CS-200006, Duke University, 2000.
[7] T. Spyropoulos, K. Psounis and C. S. Raghavendra, “Efficient routing in intermittently connected mobile networks: the multiple-copy case,” IEEE/ACM Transactions on Networking, vol. 16, no. 1, pp.77–90, 2008.
[8] Lindgren, A. Doria and O. Schelen, “Probabilistic routing in intermittently connected networks,” in Service Assurance with Partial and Intermittent Resources, pp.239–254, 2004.
[9] Daly E. M. and Haahr M, “Social network analysis for routing in disconnected delay-tolerant manets,” In Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing, ACM pp.32-40, 2007.
[10] P. Hui and J. Crowcroft, “How small labels create big improvements,” in Pervasive Computing and Communications Workshops. PerCom Workshops’ 07. Fifth Annual IEEE International Conference on, pp.65– 70, 2007.
[11] P. Hui, J. Crowcroft and E. Yoneki, “Bubble rap: Social-based forwarding in delay-tolerant networks,” Mobile Computing, IEEE Transactions on, vol. 10, no.11, pp.1576–1589, 2011.
[12] Gupta A. K., Bhattacharya I., Banerjee P. S., Mandal J. K. and Mukherjee A, “DirMove: the direction of movement-based routing in DTN architecture for the post-disaster scenario,” Wireless Networks, vol. 22, no. 3, pp. 723-740, 2016.
[13] Zhao W., Chen, Y., Ammar M. H., Corner M. D., Levine B. and Zegura, E. W, “Capacity enhancement using throw-boxes in mobile delay tolerant networks,” Georgia Institute of Technology 2006.
[14] Ker¨anen, J. Ott and T. K¨arkk¨ainen, “The one simulator for DTN protocol evaluation,” in Proceedings of the 2nd international conference on simulation tools and techniques, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 55, 2009.
[15] P. Costa, C. Mascolo, M. Musolesi and G. P. Picco, “Socially-aware routing for publish-subscribe in delay-tolerant mobile ad hoc networks,” Selected Areas in Communications, IEEE Journal on vol. 26, no. 5, pp.748–760, 2008.
[16] W. Moreira and P. Mendes. Impact of human behavior on social opportunistic forwarding. Ad Hoc Networks, vol.25, pp.293–302, 2015.
[17] D. Rodrigues-silva, A. Costa and J. Macedo, “Energy Impact Analysis on DTN Routing Protocols. ExtremeCom, vol. 12, 2012.
[18] Chen Yin, Wenbin Yao, Ming Zong and Dongbin Wang, “An Effective Buffer Management Policy for Opportunistic Networks,” In International Conference on Collaborative Computing: Networking, Applications, and Worksharing, Springer, Cham, pp. 242-251, 2016.
[19] Naeem Faisal; Sahibzada Ali Mahmud and Mohammad Haseeb Zafar. Social interest-based routing in Delay tolerant networks. In Emerging Technologies (ICET), IEEE International Conference, pp.1-5, 2015
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 138-142, February 2020
Due to the fact that conventional resources are gradually decreasing day by day, scientists are working hard to find other sources to produce energy. Solar energy is also used in the form of electricity as it is clean & evergreen accessible energy. Due to high population rate rapidly, electricity demands vary day by day as it is part of our lives. We are using electricity in every aspect of our lives i.e. from houses to offices, industries, transportation, agriculture etc. our country Pakistan is passing through electricity crises from many several years. Average load shading in our country is minimum 8 hrs/day, which is very high number in undeveloped country. Nowadays government of Pakistan is working on other sources of electricity i.e. solar energy & wind energy. Recently with the help of tremendous investment our government (Pakistan) has built a solar park with the capacity of 100MW at Bahawalpur. Most favorable source of electricity is solar energy, which we got through PV cells but these PV cells are expensive and has less efficiency, due to these factors following are obstacles in its use, the cost per kWh of power can be reduced by improving the efficiency of the PV panel system. Economical reflectors, lenses & condenser concentrators can be used. These mirrors focus the light intensity on the entire surface of the panel; it increases the output of the solar cell module because more electrons are generated. However, the temperature of the panel rises due to the increased optical radiation over a longer period of time, which is turn lowers the open circuit voltage (Voc) & decreases its efficiency. For resolving the issue, a cooling system is required to maintain efficiency of P.V panel & P.V system. Sunlight can be converted into electricity via photovoltaic cells, moreover major drawback of photovoltaic PV cells are non economical, less energy conversion, ability, & frequency. Current-Voltage curve of P.V cell depends upon the temperature & amount of electromagnetic energy strikes on the panel. The highest power point on the current-voltage curve of PV cell where system production is high is called maximum power point (MPP). Due to temperature & isolation level, the M.P.P on current-voltage curve changes. To improve the efficiency/working of P.V panel, the efficient & cost effective charge controller with M.P.P.T is formed. This M.P.P.T controller is able to harvest maximum power from solar through irradiation & temperature. It increases the battery life by protecting it from overcharging. In the midst of diverse maximum power point tracker of different approaches, perturb and observe (P&O) approach with some modifications provide excellent results. Physical implementation of proposed technique is done by designing M.P.P.T using DC-DC buck converter and microcontroller. The advantages and the need of such M.P.P.T controller are discussed and the design of M.P.P.T charge controller is checked with P.V charging system. The outcome represent that, this type of M.P.P.T controller performs more controlled functions than any other conventional charge controller.
Hammad Israil Awan: PG Research student, Dept. of EEE, University of Engineering and technology Peshawar, KP, Pakistan
Dr.Amjad Ullah: Research scholar, Dept. of EEE, University of Engineering and technology Peshawar, KP, Pakistan
Shehla Noor: PG Research student, Dept. of EEE, University of Engineering and technology Peshawar, KP, Pakistan
Nauman Ahmed: PG Research student, Dept. of EEE, University of Engineering and technology Peshawar, KP, Pakistan
V. Fthenakis, H. C. Kim, "Land use and Electricity Generation: A Life-Cycle Analysis". Renewable and Sustainable Energy Reviews 13, pp. 6–7, 2009.
“International Energy Outlook2014” U.S. Energy Information Administration, sep. 2014.
S. Leva and D. Zaninelli “Technical and Financial Analysis for Hybrid Photovoltaic Power Generation Systems” World Scientific and Engineering Academy and Society (WSEAS) Transactions on Power Systems, vol. 5, Issue. no.1, pp. 831-838, 2006.
G. M. Masters “Renewableand Efficient Electric Power Systems” A John Wiley &Son . Inc., Publication, 2004
S. Mekhilef "Performance of Grid Connected Inverter with Maximum Power Point Tracker and Power Factor Control" International Journal of Power Electronics, vol.1, pp. 49-62, 2008.
H. N. Zainudin and S. Mekhilef "Comparison Study of Maximum Power Point Tracker Techniques for PV Systems" in Proceedings of the 14th International Middle East Power Systems Conference, Cairo University, Egypt, pp. 19-21, Dec 2010.
R.W. Bentley “Global Oil & Gas Depletion:An Overview” The Oil Depletion Analysis Centre, London UK, 2002.
T.A. Volk, L.P. Abrahamson, E.H. White, E. Neuhauser, E. Gray, C. Demeter, C. Lindsey, J. Jarnefeld, D.J. Aneshansley, R. Pellerin and S. Edick"Developing a WillowBiomass Crop Enterprise for Bioenergy and Bioproducts in the United States" in proceedings of Bioenergy North East Regional Biomass Program NERBP, Oct 2000.
S. Harrington and J. Dunlop, "Battery charge controller characteristics in photovoltaic systems," in IEEE Aerospace and Electronic Systems Magazine, vol. 7, no. 8, pp. 15-21, Aug. 1992
S. M. R. Kazmi, H. Goto, O. Ichinokura and H. Guo, "An improved and very efficient MPPT controller for PV systems subjected to rapidly varying atmospheric conditions and partial shading," 2009 Australasian Universities Power Engineering Conference, Adelaide, SA, 2009, pp. 1-6.
R. W. Erickson “Fundamentals of Power Electronics” New York: Chapman and Hall, 1997
J. J. Nedumgatt, K. B. Jayakrishnan, S. Umashankar, D. Vijayakumar and D. P. Kothari, "Perturb and observe MPPT algorithm for solar PV systems-modeling and simulation," 2011 Annual IEEE India Conference, Hyderabad, 2011, pp. 1-6.
A. Pradhan, S. M. Ali, S. P. Mishra, and S. Mishra, “Design of Solar Charge Controller by the use of MPP Tracking System” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 1, Issue. No. 4, 2012.
M. Dakkak and A. Hasan “A Charge Controller Based on Microcontroller in Stand-alone Photovoltaic Systems” Energy Procedia, pp. 87–90, June 2012.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 129-137, February 2020
In this article, energy policies of Pakistan is weighed against efforts made by global community for sustainable energy. Comparison of the planning and its execution for green energy between Pakistan and other nation is discussed in detail. Pakistan is passing through a phase wherein the policy maker and executor are determined to overcome the shortfall of energy in country. Economic growth of nation is majorly relying on energy because of firm relation between energy consumption and gross domestic product. As the future of world in general and nation in particular is dependent on sustainable energy, therefore, the policies for energy generation should properly directed to ensure its sustainability. Future prospect of renewable energy in Pakistan, which is sustainable at large, have potential of 167.6 GW, is more enough to meet the energy demand of Pakistan. The goal set by United Nation to safeguard the sustainability of energy aiming to ensure the affordable, reliable and modern energy by 2030 for all has been discussed in detail. In compliance with these targets set by international community, the diversification of reliance on conventional energy resources and exploiting the naturally existing renewable energy is imperative to have a sustainable power development in Pakistan.
Mudasar Rashid: Centre for Advanced Studies in Energy University of Engineering and technology, Peshawar 25000, Pakistan
Ahtasham Rahim: Centre for Advanced Studies in Energy University of Engineering and technology, Peshawar 25000, Pakistan
Sobab Khan: Centre for Advanced Studies in Energy University of Engineering and technology, Peshawar 25000, Pakistan
Muhammad Aitezaz Hussain: Centre for Advanced Studies in Energy University of Engineering and technology, Peshawar 25000, Pakistan
[1] Solar energy perspectives: executive summary. International Energy Agency; 2011.
[2] Singh, Girish Kumar. "Solar power generation by PV (photovoltaic) technology: A review." Energy 53 (2013): 1-13.
[3] Mani M, Pillai R. Impact of dust on solar photovoltaic (PV) performance: research status, challenges and recommendations. Renew Sustain Energy Rev 2010;14:3124–31
[6] https://www.iea.org/access2017/
[9] Lund PD. Effects of energy policies on industry expansion in renewable energy. Renew Energy 2009;34(1):53–64.
[10] EPD. Review of the International Energy Policies and Actions and the Latest Practice in their Environmental Evaluation and Strategic Environmental Assessment: Hong Kong; 2007.
[11] IEA. Sweden. National Renewable Energy Action Plan (NREAP) [cited 2017 8 June]Available from: 〈https://www.iea.org/policiesandmeasures/pams/sweden/name-40146-en.php〉.
[12] EPD. Review of the International Energy Policies and Actions and the Latest Practice in their Environmental Evaluation and Strategic Environmental Assessment: Hong Kong; 2007.
[13] WEC. Renewable energy in SouthAsia: status and prospects. in World Energy Council. London, UK; 2000
[14] Karagiorgas M, Botzios A, Tsoutsos T. Industrial solar thermal applications in Greece: economic evaluation, quality requirements and case studies. Renew Sustain
Energy Rev 2001;5(2):157–73.
[15] Ghaffar MA. The energy supply situation in the rural sector of Pakistan and the potential of renewable energy technologies. Renewable Energy 1995;6(8):941.
[16] Pakistan Economic Survey, 2006–2007, Government of Pakistan.
[17] Technical Report no. PMD-07/2007. Pakistan Metrological Department. Wind Power Potential of Sindh.
[18] Internal Report 2008. Pakistan Council of Renewable Energy Technologies (PCRET). Islamabad, Pakistan.
[19] Tauqir A, Shuja. Geothermal areas in Pakistan. Geothermics 1986;15(5–6): 719–23.
[20] Internal Report, 2008, Alternate Energy Development Board (AEDB), Islamabad, Pakistan.
[21] Bhutta, N. Wind Power Projects and Role of Government. In World Wind Energy
[22] Conference; 2008. Islamabad, Pakistan: Energy Wing, Planning Commission.
[23] Renewable Energy Technologies and Sustainable Development, in Islamabad:
Commission on Science and Technology for Sustainable Development in the South, COMSATS Islamabad, Pakistan: Islamabad, Pakistan; 2005.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 116-128, February 2020
The main driving force to run any country is the energy department, as we know that the worlds natural energy reservoirs are depleting day by day so for the energy security of our upcoming generation and for our survival and also for the protection of our environment we have to move towards the biomass utilization especially for the developing countries like Pakistan. We have to improve our technology and gain the knowledge about the current energy system for the efficient use of naturally available biomass resources. Now a day some steps have been taken and some technologies are under the improvement to shift the dependency from non-renewable resources to the renewable resources. This report gives the literature review of the potential of biomass based energy in Pakistan based on the present situation and future perspectives. This report also highlights the natural and local biomass resources and also discuss the probable biomass conversion techniques to convert such natural resources to bioenergy. The potential impact of bioenergy on different sectors like household and industrial sector. Importance of bioenergy over fossil fuel for Pakistan economy and also the challenges to bioenergy production from biomass and will suggest the optimum solution for them.
Ahtasham Rahim: Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar 25000, Pakistan
Muhammad Aitezaz Hussain: Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar 25000, Pakistan
Mudasar Rashid: Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar 25000, Pakistan
Sobab Khan: Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar 25000, Pakistan
Waqas Rahim: Department of Electrical Engineering, CECOS University of IT and Emerging Sciences Peshawar 25000, Pakistan
[1] Coyle Eugene D, Simmons Richard A. Understanding the global energy crisis. USA: Purdue University Press e-books; 2014.
[2] Holdren JP. Population and the energy problem. Popul Environ 1991:231–55
[3] Amin S. Solution for energy crisis in Pakistan. Pakistan: IPRI Publications; 2013.
[4] Asif M. Sustainable energy options for Pakistan. Renew Sustain Energy Rev 2009;13:903–9.
[5] Cunado J, Gracia FP. Oil prices, economic activity and inflation: evidence for some Asian countries. Q Rev Econ Financ 2005;45(1):65–83.
[6] Global status report. REN21. Renewable energy policy network for the 21st Century; 2012. Available at: 〈http://www.map.ren21.net/GSR/GSR2012.pdf〉.
[7] World Energy Council report. World energy resources bioenergy (2016); 2016. 〈https://www.worldenergy.org/wp-content/uploads/2017/03/WEResources_Bioenergy_2016.pdf〉.
[8] International Energy Agency (IEA). Statistics book. Renewables information 2016 edition; 2016, ISBN PRINT 978-92-64-25866-2 / PDF 978-92-64-25867 9.
[9] International Energy Agency . Medium-term renewable energy market report 2015. Paris: OECD/IEA; 2015.
[10] Kumar A, Kumar K, Kaushik N, Sharma S, Mishra S. Renewable energy in India: current status and future potentials. Renew Sustain Energy Rev 2010;14(8):2434e42.
[11] PC. Pakistan in the 21st century: vision 2030. Planning Commission, Government of Pakistan; 2007.
[12] Bhutto AW, Bazmi AA, Zahedi G. Greener energy: issues and challenges for Pakistan–Biomass energy prospective. Renew Sustain Energy Rev 2011;15:3207–19.
[13] Economic survey of Pakistan, Islamabad. Government of Pakistan Ministry of Finance; 2010.
[14] Pakistan Year Book . Government of Pakistan ministry of finance, economic affairs, revenue, statistics and privatization, Islamabad 2015; 2015 〈www.pbs.gov.pk〉.
[15] Arshad A, Zakaria M, Junyang Xi. Energy prices and economic growth in Pakistan:a macro-econometric analysis. Renew Sustain Energy Rev 2016;55:25–33.
[16] Sahir MH, Qureshi AH. Assessment of new and renewable energy resources potential and identification of barriers to their significant utilization in Pakistan. Renew Sustain Energy Rev 2008;12:290–8.
[17] Malik A. How Pakistan is coping with the challenge of high oil prices. Pak Dev Rev 2007;46(4):551–75.
[18] Perwez Usama, Sohail Ahmed, Hassan Syed Fahad, Zia Usman. The long-term forecast of Pakistan electricity supply and demand: an application of long range energy alternatives planning. Energy 2015;93:2423–35.
[19] Pakistan Year Book . Government of Pakistan ministry of finance, economic affairs, revenue, statistics and privatization, Islamabad 2013; 2013, [Available at] 〈www.pbs.gov.pk〉
[20] Fatmi Zafar, Kadir M Masood, Ahmed Waqar, Kazi Ambreen. Situation analysis of household energy use and indoor air pollution in Pakistan. Pakistan: Department of Child and Adolescent Health and Development WHO; 2005.
[21] Butt Saad, Hartmann Ingo, Lenz Volker. Bioenergy potential and consumption in Pakistan. Biomass Bioenergy Rev 2013;58:379–89.
[22] Inayatullah Jan. What makes people adopt improved cook stoves? Empirical evidence from rural North West Pakistan. Renew Sustain Energy Rev 2012;16:3200–5
[23] Rehman M Saif Ur, Rashid Naim, Saif Ameena, Mahmood Tariq, Han Jong-In. Potential of bioenergy production from industrial hemp (cannabis sativa): Pakistan perspective. Renew Sustain Energy Rev 2013;18:154–64.
[24] OICCI . Overseas investors chamber of commerce & investments Pakistan. Energy sub-committee NEPRA’s state of industry report 2015; 2015.
[25] AV B . Principles and practice of biomass fast pyrolysis processes for liquids. J Anal Appl Pyrolysis 1999;51:3–22.
[26] [26] Ravindranath NH, Somashekar HI, Nagaraja MS, Sudha P, Sangeetha G, Bhattacharya SC. Assessment of sustainable non-plantation biomass resources potential for energy in India. Biomass Bioenergy 2005;29:178–90.
[27] Kumar Saini J, Saini R, Tewari L. Lignocellulosic agriculture wastes as biomass feedstocks for second-generation bioethanol production: concepts and recent developments. Biotechnology 2015;5(4):337–53.
[28] Pakistan Economic forum III. Draft report. The Pakistan Business Council; 2015. Available at 〈http://www.pbc.org.pk〉.
[29] G.o.P. Ministry of Finance. Economic Survey of Pakistan; 2012–2013. Available: 〈http:// www.finance.gov.pk/survey/chapters_13/〉
[30] Sheikh MA. Renewable energy resource potential in Pakistan. Renew Sustain Energy Rev 2009;13:2696–702.
[31] Government of Pakistan . Pakistan economic survey 2005–06. Islamabad, Pakistan: Economic Advisers Wing, Ministry of Finance; 2006.
[32] Mirza Umar K, Ahmad Nasir, Majeed Tariq. An overview of biomass energy utilization in Pakistan. Renew Sustain Energy Rev 2008;12:1988–96.
[33] GOP . Pakistan economic survey 2009–10, June. Islamabad, Pakistan: Economic Advisers Wing, Ministry of Finance, Government of Pakistan; 2010.
[34] Larson ED, Kartha S. Expanding roles for modernized biomass energy. Energy Sustain Dev 2000;4:15–25.
[35] Rauf Omer, Wang Shujie, Yuan Peng, Tan Junzhe. An overview of energy status and development in Pakistan. Renew Sustain Energy Rev 2015;48:892–931.
[36] Cristina Momete Daniela. Analysis of sustainable biomass: a three-dimensional approach. In: International conference on economic engineering and manufacturing systems Braşov; 2011.
[37] Edenhofer O, Pichs-Madruga R, Sokona Y, Seyboth K,
[38] Kumaravel ST, Murugesan A, Kumaravel A. Tyre proylsis oil as an alternative fuel for diesel engines: a review. Renew Sustain Energy Rev 2016;60:1678–85.
[39] Kumaravel ST, Murugesan A, Kumaravel A. Tyre proylsis oil as an alternative fuel for diesel engines: a review. Renew Sustain Energy Rev 2016;60:1678–85.
[40] Naqvi Muhammad, Dahlquist Erik, Yan Jinyue. Complementing existing CHP plants using biomass for production of hydrogen and burning the residual gas in a CHP boiler. Biofuels 2016. http://dx.doi.org/10.1080/17597269.2016.1153362, [ISSN: 1759-7269].
[41] Naqvi Muhammad, Dahlquist Erik, Yan Jinyue. Complementing existing CHP plants using biomass for production of hydrogen and burning the residual gas in a CHP boiler. Biofuels 2016. http://dx.doi.org/10.1080/17597269.2016.1153362, [ISSN: 1759-7269].
[42] Nunes LJR, Matias JCO, Catalão JPS. Biomass combustion systems: a review on the physical and chemical properties of the ashes. Renew Sustain Energy Rev 2015:235–42.
[43] Asgher M, Ahmad Z, Iqbal HMN. Alkali and enzymatic delignification of sugarcane bagasse to expose cellulose polymers for saccharification and bioethanol production. Ind Crops Prod 2013;44:488–95.
[44] Tan Z, Lagerkvist A. Phosphorus recovery from the biomass ash: a review. Renew Sustain Energy Rev 2011;15:3588–602.
[45] IEA. World Bioenergy Association (WBS). Global bioenergy statistics; 2016. Available at: 〈http:www.iea.org/stas/index.asp〉.
[46] Bhattacharya SC, Salam P Abdul. Low greenhouse gas biomass options for cooking in the developing countries. Biomass Bioenergy 2002;22(4):305–17.
[47] Ministry of Petroleum and Natural Resources, Government of Pakistan.
[48] Greg Phal. Biodiesel: Grouping a new energy economy, 2nd ed.. White River Junction, Vermont: Chelsea Green Publishing Company; 2008.
[49] Mussatto SI, Dragone G, Guimarães PM, Silva JP, Carneiro LM, Roberto IC.Technological trends, global market, and challenges of bio-ethanol production.Biotechnol Adv 2010;28:817–30.
[50] Shah Asif A, Qureshi SM. Sustainable development through renewable energy—the fundamental policy dilemmas of Pakistan. Renew Sustain Energy Rev 2011;15:861–5.
[51] Mirza Irfan Afzal, Ahmed Sana, Khalil M Shahid. Renewable energy in Pakistan: opportunities and challenges. A Sci J Comsats – Sci Vision 2011(16–17).
[52] Abdulaziz Nidhal, Faisal Aziz Mohammad. Prospects and challenges of renewable energy in Pakistan IEEE international energy conference; 2010.
[53] Meryem Syeda Shaima, Ahmad Sheikh Saeed, Aziz Neelam. Evaluation of biomass potential for renewable energy in Pakistan using leap model. Int J Emerg Trends Eng Dev 2013;3(1).
[54] FBS . Pakistan statistical year book-2002: federal Bureue of statistics (FBS). Pakistan: Government of Pakistan; 2002.
[55] Chaudhry MA, Raza R, Hayat SA. Renewable energy technologies in Pakistan: prospects and challenges. Renew Sustain Energy Rev 2009;13:1657–62.
[56] Zuberi MJS, Hasany SZ, Tariq MA, Farrioglu M. Assessment of biomass energy resources potential in Pakistan for power generation. In: IEEE Proceedings of the fourth international conference on power engineering, energy and electrical drives (POWERENG). Istanbul; 2013. p. 1301–6.
[57] Ali DrEhsan, Irshad MsNafeesa. Center for advanced studies in energy at NUST (CAS-EN). Final report: survey on the availability of biomass in Punjab Pakistan resource mapping study by IFC-World Bank Group 2015; 2015.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 109-115, February 2020
The perovskite solar cell has been analyzed by through mechanism and its equivalent circuit model. The software which is used in the simulation of an IV characteristic of Perovskite solar cell was developed by the GPVDM software .The increase in Power Conversion efficiency (PCE) has been shown through numerical modelling and is caused by when we increase the thickness of the absorbing or active layer. Hence efficient charge separation occurs. Apart from that effect of the electrical parameters such as series resistance Shunt resistance, band gap etc. on its I-V characteristics, Jsc and Voc is also simulated and its effect of efficiency has been noted.
Muhammad Aitezaz Hussain: Centre for Advanced Studies in Energy (CAS-E), University of Engineering and Technology Peshawar, Pakistan
Sobab Khan: Centre for Advanced Studies in Energy (CAS-E), University of Engineering and Technology Peshawar, Pakistan
Ahtasham Rahim: Centre for Advanced Studies in Energy (CAS-E), University of Engineering and Technology Peshawar, Pakistan
Azam Jan: Department of Mechatronics Engineering, University of Engineering and Technology Peshawar, Pakistan
Mudasar Rashid: Centre for Advanced Studies in Energy (CAS-E), University of Engineering and Technology Peshawar, Pakistan
[1] Blaschke T, Biberacher M, Gadocha S, Schardinger I. Energy landscapes: meeting energy demands and human aspirations. Biomass- Bioenergy 2013;55:3–16.
[2] World Energy Outlook, International Energy Agency; 2012. 〈http://www. worldenergyoutlook.org/weo2012/〉 [Accessed March 2016].
[3] International Energy Agency. 2DS-hiRen Scenario, Energy Technology Perspectives; 2012
[4] Arif MS. Residential solar panels and their impact on the reduction of carbon emissions. reduction of carbon emissions using residential solar panels. 〈https:// www.nature.berkeley.edu/classes/es196/projects/2013final/ArifM_2013.pdf〉 [Accessed August 2016]; 2013.
[5] Holm-Nielsen J, Ehimen EA. Biomass supply chains for bioenergy and biorefining. Woodhead Publishing; 2016
[6] Al-Tameemi MA, Chukin VV. Global water cycle and solar activity variations. J Atmos Sol Terr Phys. 2016;142:55–9
[7] Herrando M, Markides CN. Hybrid PV and solar-thermal systems for domestic heat and power provision in the UK: techno-economic considerations. Appl Energy2016;161:512–32.
[8] [Mohanty P, Muneer T, Gago EJ, Yash Kotak Y. Solar radiation fundamentals and PV system components. Springe Int Publ 2015. http://dx.doi.org/10.1007/978-3-319- 14663-8_2.
[9] “NREL Solar Cell Efficiency Chart,” 2018. [Online]. Available:
[10] Ball, James M., et al. "Optical properties and limiting photocurrent of thin-film perovskite solar cells." Energy & Environmental Science 8.2 (2015): 602-609.
[11] bdelkader Hima, A. (2018). GPVDM simulation of layer thickness effect on power conversion efficiency of CH3NH3PbI3 based planar heterojunction solar cell. International Journal of Energetica, 3(1), 37-41.
[12] [12] Duan, J., Xu, H., Sha, W. E. I., Zhao, Y., Wang, Y., Yang, X., & Tang, Q. (2019). Inorganic perovskite solar cells: an emerging member of the photovoltaic community. Journal of Materials Chemistry A, 7(37), 21036–21068. doi: 10.1039/c9ta06674h
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 98-108, February 2020
When we study about, analyze & understand the basic needs of human beings, we come to know that energy is the most primitive need of human being. The developed countries of Asia, Europe Africa & Australia, the standard of life of the inhabitants is high because of per capita consumption of these countries is high. In short status of energy in a country defines the high standard of living within a country. When we analyze the energy condition of Pakistan, we come to know that, Pakistan right now is facing a huge energy crisis, lowering down the economy of the country. This is because of the dependency of power plants on conventional sources of energy such as coal, diesel & other thermal resources, lack of proper policy making & the implementation of existing policy. The study I carried out will point out the problems related to policies & problems within the departments that hider the development of energy power plants for non-conventional & renewable energy sources. We’ll find out, how to get rid of the problems we face regarding the development of renewable energy projects in general & solar energy projects in particular in policy prospective. We need to know that despite of huge potential of energy why are we lacking behind? What are the steps forward to counter the problems? I will try to sort out the problem keeping policy prospective in mind particularly of solar energy.
Many of the developed countries in Europe, Australia & Asia utilize energy from the sun for the generation of electrical & thermal energy, have developed solar energy policies. United States, China & Germany are the most successful countries, generating most of the energy from solar & wind power. The reason behind the successful utilization of energy from the sun by these countries is because of their up-to-date policies, planning & strategies. These policies, planning & strategies includes immunity from tax, subsidizations of the projects, convincible bills & tariff, & provision of incentives & many more profit oriented steps that had been defined in the literature below. The renewable energy policies in general & solar energy policies in particular implemented by the above mentioned countries provide us with huge amount of motivations & tactics to develop a framework to develop solar energy projects, both of solar thermal & photovoltaic in the urban as well as in the rural areas of the country. Moreover, the framework for off grid & on grid system, rooftop system, onshore & offshore systems presented by these developed countries can also be followed if comparable to the conditions of our country.
Sobab Khan: Center.For.Advanced.Studies.In.Energy University of Engineering and Tecnology, Peshawar 25000, Pakistan
Mudasar Rashid: Center.For.Advanced.Studies.In.Energy University of Engineering and Tecnology, Peshawar 25000, Pakistan
Muhammad Aitezaz Husain: Center.For.Advanced.Studies.In.Energy University of Engineering and Tecnology, Peshawar 25000, Pakistan
Ahtasham Rahim: Center.For.Advanced.Studies.In.Energy University of Engineering and Tecnology, Peshawar 25000, Pakistan
Sami Ullah Shah: Center.For.Advanced.Studies.In.Energy University of Engineering and Tecnology, Peshawar 25000, Pakistan
[1] PMD (Pakistan Metrological Department), Islamabad, Pakistan www.pmd.gov.pk
[2] S. Adnan, A. H. Khan, S. Haider, and R. Mahmood, “Solar energy potential in Pakistan,” Journal of Renewable and Sustainable Energy, vol. 4, no. 3, p. 032701, 2012.Muhammad Zaid Azam;
[3] “The Scope of Solar Energy in Pakistan” 15 March 2012
[4] Abdul Basit: “Solar Energy in Pakistan” 11th Sep, 2012
[5] Azmat Hayat Khan,1 Shahzada Adnan,1 Sajjad Haider,1 & Rashed Mahmood2 “Solar Energy Potential in Pakistan” May 2012
[6] U. K. Mirza, M. Maroto-Valer, and N. Ahmad, “Status and outlook of solar energy use in Pakistan,” Renewable and Sustainable Energy Reviews, vol. 7, no. 6, pp. 501–514, 2003.Nasir Ahmad ,Umar K. Mirza , M. Mercedes Maroto-Valer : “Status of solar energy use in Pakistan” 30 June 2003 pg# 10-11
[7] AEDB (Alternate Energy Development Board), www.aedb.org.
[8] PPIB (Private Power Infrastructure Board) www.ppib.org.pk
[9] PEDO (Pakhtoonkhwa Energy Development Organization) www.pedo.kpk.org.pk
[10] “Role of feed in tarrif in developing countries, a toolkit for parlimentation” EEDN for Africa (AFREPREN); 2014
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 93-97, February 2020
There is abounded wind available to entertain our energy requirements if it could be utilized in an effective manner.Wind turbines are able to generate enough power thus decreasing the need for expensive power generators that cause pollution. In comparison to horizontal axis wind turbines (HAWTs) the vertical axis wind turbines (VAWTs) are much more efficient and reliable because of its simplisity and cost effectiveness.This study in vestigates that wind energy is able to cope with the energy crisis we are currently having all over the globe. Although the use of Horizontal Axis Wind Turbine (HAWT) in today’s world is more than the Vertical Axis Wind Turbine (VAWT) but they have some issues as they require higher wind speed as compared to VAWT to generate enough mechanical work to produce electrical power. Peshawar highways wind profile was implemented in this experiment. The wind on highways is not constant all the time as it is dependent on the moving vehicles and varies time to time. The project can be theoretically implemented in the light of Peshawar highways wind profile. Wind energy could be valuable source of energy because of its importance of environmental friendly and free of cost once it is installed. The main goal of this research is to model such type of VAWT for high-ways to get kinetic energy produced by the air flow of moving vehicles and to transfer that energy into mechanical energy furthermore that mechanical energy will be converted to electrical with the help of generator. This vertical axis wind turbine is feasible on high ways due to its unique structure. It can capture the wind in both directions on highways. The project is tested in both theoretically and experimentally and it outclassed all previous models.
Rafiullah Qazi: Department of Electrical Engineering, City University of Science & Information Technology Peshawar, Pakistan
Muhammad Babar Iqbal: Department of Renewable Energy Engineering, U.S.-Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar, Pakistan
Waleed Zubair: Department of Electrical Engineering, City University of Science & Information Technology Peshawar, Pakistan
Muhammad Shadab Alam Khan: Department of Electrical Engineering, City University of Science & Information Technology Peshawar, Pakistan
[1] Hepbasli A, Ozgener O. ”A review on the development of wind energy in Turkey”. Renewable and Sustainable Energy Reviews 2004;8(3):257-76.
[2] Deal WF. ”Wind power: an emerging energy resource”. Technology and Engineering Teacher 2010;9:9-15.
[3] Ackermann T, Der LS. ”An overview of wind energy status 2002”. Renewable and Sustainable Energy Reviews 2002;6(1-2):67-127.
[4] Xu J, He D, Zhao X. ”Status and prospects of Chinese wind energy”. Energy 2010;35(11):4439-44
[5] Joselin Herbert GM, Iniyan S, Sreevalsan E, Rajiapandian S. ”A review of wind energy technologies”. Renewable and sustainable Energy Reviews 2007;11(6):1117-45.
[6] M.S. Dresselhaus, I.L.Thomas. ”Alternativeenergy technologies”.Nature volume 414, pages 332–337 (15 November 2001)
[7] Kooiman, S. J., and Tullis, S. W., 2010, ”Response of a Vertical Axis Wind Turbine to Time Varying Wind Conditions Found within the Urban Environment,” Wind Engineering, 34(4), pp. 389-401.
[8] Hara,Y.,Hara,K.,andHayashi,T.,2012,”MomentofInertiaDependence of Vertical Axis Wind Turbines in Pulsating Winds,” International Journal of Rotating Machinery, 2012(2012), pp. 12.
[9] Scheurich, F., and Brown, R. E., 2012, ”Modelling the Aerodynamics of Vertical-Axis Wind Turbines in Unsteady Wind Conditions,” Wind Energy, pp. 17.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 84-92, February 2020
For reducing the consequences of global warming and fuel scarcity, we need to change dilemma in terms of cooking. For resolving this issue, the solar cooking offers the best alternative. There are various designs of solar cookers. Different types of solar cookers are presented by a number of researchers over the decade that includes the box type solar cookers and parabolic type solar cookers. However, these types of solar cookers have limited performance in terms of tracking and operating during night time. An evacuated tube solar geyser is converted into a solar cooker which is obsolete from tracking and cooking can also carried out during night time having a thermal storage unit (TSU). The performance of the system is observed during clear days and nights of August and September 2019 in Peshawar, Pakistan. The maximum temperature attained by the system is recorded 98.5 oC. From the observed experimented data, the results indicate that the system is faithfully performing under the required climate conditions.
Muhammad Babar Iqbal: Department of Renewable Energy Engineering, U.S.-Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar, Pakistan
Suhail Zaki Farooqui: Department of Renewable Energy Engineering, U.S.-Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar, Pakistan
Muhammad Arsalan Wahid: Department of Renewable Energy Engineering, U.S.-Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar, Pakistan
[1] R. Muthusivagami, R. Velraj, and R. Sethumadhavan, "Solar cookers with and without thermal storage—a review," Renewable and sustainable energy reviews, vol. 14, pp. 691-701, 2010.
[2] P.-o. b. e. s. H. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Dag-Hammarskjöld-Weg 1-5, "Cooking Energy Compendium," Energypedia, November 1, 2018 2018.
[3] A. Kundapur, "Review of solar cooker designs," TIDE, vol. 8, pp. 1-37, 1998.
[4] M. M. Mwaura, "Performance of a Double Reflector Solar Box Cooker with Phase Change Material Energy Storage," 2014.
[5] S. Z. Farooqui, "A gravity based tracking system for box type solar cookers," Solar Energy, vol. 92, pp. 62-68, 2013.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 02, PP. 80-83, February 2020
Living in the 21st century and having huge potentials of renewable energy resources, people in this part of the world are still deprived of the basic needs of life, among those clean sources of energy is one. Renewable systems have direct local environment benefits in terms of substituting for existing diesel-based power generation. The efficiency of a turbine is highly influenced by its runner. The focus of the study is to design and optimize the Kaplan turbine runner. First, a theoretical design was performed for determining the main characteristics where it showed an efficiency of 4%. theoretical equations are generalized and simplified and also, they assumed constants of experienced data and hence a theoretical design will only be approximate. This was confirmed as the same theoretical design showed only 57% of efficiency when CFD simulation was run on the model. Then, the theoretically proposed design was further analyzed, inlet/outlet tangential velocities of the blades were analyzed and corrected with CFD Fluent to improve the efficiency of power generation. The original design could be improved to achieve an efficiency of 86%. In the end, more suitable and appropriate method was suggested to optimize the design.
Zahid Masood: College of Electrical and Mechanical Engineering, Hohai University, Changzhou 213022, China
[1] “Hydroelectric Power,” Invest. Energy, pp. 145–152, 2012, doi: 10.1002/9781119204442.ch16.
[2] P. Breeze, “Hydropower Turbines,” in Hydropower, Elsevier, 2018, pp. 35–46.
[3] “Kaplan Turbine - its Components, Working and Application.” [Online]. Available: https://theconstructor.org/practical-guide/kaplan-turbine-component-working/2904/. [Accessed: 20-Jan-2020].
[4] S. L. Dixon, Fluid Mechanics and Thermodynamics of Turbomachinery, 5th ed. Elsevier , 2005.
[5] “Engineering Simulation & 3D Design Software | ANSYS.” [Online]. Available: https://www.ansys.com/. [Accessed: 08-Jan-2020].
[6] A. B. Janjua, M. S. Khalil, and M. Saeed, “Blade Profile Optimization of Kaplan Turbine Using CFD Analysis,” Mehran Univ. Res. J. Eng. Technol., vol. 32, no. 4, pp. 559–574, 2013.
[7] H. Nagpurwala, “Design of Hydraulic Turbines.”
[8] K. Menny, Hydraulische und thermische Kraft-und Arbeitsmaschinen. Germany: Verlag, Ronnenberg, 2006.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 01, PP. 74-79, January 2020
Designing, fabrication, testing and evaluation of vertical axis straight bladed Darrius type wind turbine are done. Calculations are carried out for a specified load, then Darrius type wind turbine, having the capacity to drive that load is designed. The airfoils of turbine are symmetrical with good lift to drag ratio. Initially turbine with fixed blade is designed, fabricated and its performance evaluated in lab with real wind. Efficiency has been calculated by testing the turbine with and without load.
Bilal Anwar: Department of Renewable Energy Engineering, U.S.-Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar, Pakistan
[1] A. P. dannemand, "Review of historical and modern utilization of wind power," Rose National Laboratory, 1998.
[2] S. Emies, Wind Energy Meteorology, Switzerland: Springer International Publications, 2017/2018.
[3] H. B. S. Eriksson, "Evaluation of different turbine concepts for wind power," Renewable and Sustainable Energy Reviews, vol. 12, pp. 2-5, 2008.
[4] I. G. K.Pope, "Energy and exergy efficiency comparison of horizontal and vertical axis wind turbines," Renewable Energy,, vol. 35, pp. 6-9, 2010.
[5] H. B. a. Y. Yao, "Effect of Camber Airfoil on Self Starting of Vertical Axis Wind Turbine .," Journal of Environmental Science and Technology, vol. 4, pp. 302-312, 2011.
[6] A. R. R. Ahmed M. El Baz, "Computational Modelling of H-type Darrius Vertical Axis Wind Turbine with," in Eleventh International Conference of Fluid Dynamics, Egypt, 2013
[7] W. Y. j. W. Ji Yao, "Numerical simulation of aerodynamic performance for two dimensional wind turbine airfoils," in International Conference on Advances in Computational Modeling and Simulation, Kunming , 2012
[8] D. S.-K. T. A. F. M. u. Islam, "Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines," Renewable and Sustainable Energy Reviews, vol. 12, pp. 1087-1109, 2008
[9] D. S.-k. T. A. F. Muzahiril Islam, "Aerodynamic Model for Darrieus-type Streight-bladed Vertical Axis Wind Turbine," Renewable and Sustainable Energy Review, vol. 12, no. 4, pp. 8-12, 2018.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 01, PP. 68-73, January 2020
The heating, ventilation and Air conditioning (HVAC) system in Pakistan consumes more than 50% of total energy utilized by the building sector. Due to current energy crises in Pakistan there is a need renewed focus on energy optimization in building sector. The aim of this research paper is to reduce building HVAC system energy consumption by implementing chiller plant management system to control on electrical energy consumption in existing primary HVAC system (Chillers, Pumps, Boilers and Cooling towers). The Johnsons control international building automation protocol has been implemented with weather load profile of Pakistan (Islamabad). The chiller plant management system has improved plant performance and decreased annual energy consumption. The results of implemented modern chiller plant management system shows at least 12.57% of energy saving. It is also observed that the chiller plant management system closely follow outdoor dynamic weather profile and indoor load profile.
Muhammad Waseem Khan: Department of Mechanical Engineering, University of Engineering and Technology, Peshawar, Pakistan
Dr.Umar Ibrahim: Department of Mechanical Engineering, University of Engineering and Technology, Peshawar, Pakistan
Foresti, G.L., Remagnino, O., 2005. Ambient intelligence: a new multidisciplinary paradigm. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, pp. 1–6.
ASHRAE, 2015. ASHRAE Guideline 13-2015, Specifying Building Automation Systems. American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE)., Atlanta-USA.
SAYED, K., GABBAR, H.A., 2018. Energy Conservation in Residential, Commercial, and Industrial Facilities, First Edition. ed. The Institute of Electrical and Electronics Engineers, Inc. Published 2018 by John Wiley & Sons, Inc, Canada.
Kwon, B., Lee, S., 2014. Joint energy management system of electric supply and demand in houses and buildings. IEEE Transactions on Power Systems, pp. 2804–2812.
Johnson Controls, 2010. Field Equipment Controller (FEC) Series. USA.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 01, PP. 62-67, January 2020
The scope of this research work is the analysis and study of the rechargeable batteries. During this research, battery testbeds are developed for all under study battery technologies. A few hundreds of charging, discharging experimentation has been performed under a variety of charging profiles and discharging load patterns. These observations have been critically analyzed to capture the behavior of the batteries comprehensively. These behavioral profiles of these batteries have been utilized for developing an accurate battery model. The proposed model is a hybrid model composed of Diffusion model and combined electric circuit-based model, which accounts for nonlinearities of rate capacity effect, recovery effect, capacity fading, storage runtime and open circuit voltage, current-, temperature-, dependency to transient response. This proposed model would be a great help for energy aware circuit designing, because it’s an equivalent circuit model that could be co-simulated in circuit simulation environment, like Matlab Simulink. A quantitative figure of merit for the selection of battery system for a specific microgrid application has been devised on the bases of important battery parameters.
Alamgir Ahmad Khattak: Department of Electrical Energy Systems Engineering, US Pakistan Centre for Advanced Studies in Energy, University of Engineering and technology Peshawar, Pakistan
Muhammad Safdar: Department of Electrical Energy Systems Engineering, US Pakistan Centre for Advanced Studies in Energy, University of Engineering and technology Peshawar, Pakistan
Asad Nawaz Khan: Department of Electrical Energy Systems Engineering, US Pakistan Centre for Advanced Studies in Energy, University of Engineering and technology Peshawar, Pakistan
Adil Nawaz Khan: CECOS University of IT and Emerging Sciences Peshawar, Pakistan
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 01, PP. 58-61, January 2020
During operation of coal-based power plants, frequent calorific Value measurement is necessary. Previously, Artificial Intelligence based models have been developed for instant calorific value calculation based on proximate analyses or ultimate analyses or combination of both. In this paper, random forest was used for comparison of all the three methods and computing relative analyses parameters importance. This study uses well known USGS coal qual dataset. In this work, 10-fold validation strategy and R-squared was used as validation strategy and performance metric respectively. Ultimate analyses (R-squared = 0.9984) performed slightly better than proximate analyses (R-squared = 0.9861) or combination of both (R-squared = 0.9982). Lastly, carbon was found to be the most important feature in all models.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 01, PP. 48-57, January 2020
Recent decades have seen an incline in integration of wind energy in to power systems across the world. This invariably leads to lower share of conventional power plant which subsequently reduces the grid’s inertia as a consequence of the decoupling rotational mass of the variable speed turbines and grid through power electronic converters. Accordingly, the overall system inertia is lowered leading to more frequent and intense frequency variations concomitant with the variation in the load. This research focuses on alleviating the rotational mass and inertia related problems caused by increasing wind power integration by adding an inertial loop to compensate the impact of frequency deviations due to abnormal transient conditions. The virtual inertia, thus added, reduces maximum rotational speed deviation while at the same time making the system slower and more oscillatory. The simulation consists of addition of synchronous generator capable of adapting its power output to the fluctuations in grid loads. A load step has been added for analyzing the performance improvement of the system as a result of the virtual inertia addition. The simulation has been modeled in Simulink MATLAB. The addition of the inertial power results in the improving the frequency drop from 58.42 to 59.31 Hz. This stabilization of 0.9 Hz carries a lot of significance for improving grid stability. In addition the angular speed of the turbine has also been enhanced as a result of the virtual inertia. These findings will prove extremely helpful in offsetting the drawbacks of greater wind energy addition to grid. The analysis needs to be further replicated with other transient conditions before being implemented in the grid.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 01, PP. 39-47, January 2020
In this study, an inclusive effect of economy, gross domestic product (GDP) and other socio-economic terms are deeply taken into account for long lasting and future projection of electricity usage in Pakistan. The explaining variables considered in this study are gross domestic product GDP, per capita GDP, electricity consumption price/kwh and population, to develop the different regression models. The historical data considered for time period of past 47 years from 1970-2016. This paper is divided into two parts, in first part estimation of income, price and GDP elasticities are evaluated for residential, non-residential and total electricity consumption models. These elasticities showed that long-run and short-run price elasticities for domestic model are -0.30 and -0.32, for non-domestic model 0.42 and 0.64 where-as for total electricity consumption model price elasticities are 0.50 and o.93. In addition GDP/per capita and GDP resulted higher values. In second part, different statistical models are presented by using linear regression, which are based on the stationary or co-integrated time series data. Moreover for checking the validity of proposed models different statistical tests are conducted. A comparison with available national forecasts, which are proposed through different econometric models, like support-vector model or Pakistan’s long range-energy alternative plaining (LEAP) model was exmined, resulting that proposed regression model has compatibility with national projections, with deviation of ±2% to ±12% for the best and worst case, these deviations are acceptable in the time span taken into account.
[1] “World energy review 2018.”
[2] V. Bianco et al., “Electricity consumption forecasting in Italy using linear regression models,” Appl. Energy, vol. 34, no. 4, pp. 429–432, 2009.
[3] I. Zahid, “Enhancement of wind power generation in pakistan,” no. February, 2017.
[4] P. Plan et al., “Electricity Demand Forecast Report,” book, 2014.
[5] M. Kankal and M. Ihsan, “Modeling and forecasting of Turkey ’ s energy consumption using socio-economic and demographic variables,” vol. 88, pp. 1927–1939, 2011.
[6] K. Kavaklioglu, H. Ceylan, H. K. Ozturk, and O. E. Canyurt, “Modeling and prediction of Turkey’s electricity consumption using Artificial Neural Networks,” Energy Convers. Manag., vol. 50, no. 11, pp. 2719–2727, 2009.
[7] S. Tabasi, A. Aslani, and H. Forotan, “Prediction of Energy Consumption by Using Regression Model,” vol. 02, no. March, pp. 110–115, 2016.
[8] M. Salari and R. J. Javid, “Residential energy demand in the United States : Analysis using static and dynamic approaches,” Energy Policy, vol. 98, pp. 637–649, 2016.
[9] Z. Mohamed and P. Bodger, “Forecasting electricity consumption in New Zealand using economic and demographic variables,” vol. 30, pp. 1833–1843, 2005.
[10] S. Saravanan, S. Kannan, and C. Thangaraj, “INDIA ’ S ELECTRICITY DEMAND FORECAST USING REGRESSION ANALYSIS AND ARTIFICIAL NEURAL NETWORKS BASED ON PRINCIPAL COMPONENTS,” vol. 6956, no. July, pp. 365–370, 2012.
[11] V. Bianco, O. Manca, S. Nardini, and A. A. Minea, “Analysis and forecasting of nonresidential electricity consumption in Romania,” Appl. Energy, vol. 87, no. 11, pp. 3584–3590, 2010.
[12] E. Demand and A. Using, “Electricity Demand Analysis Using Cointegration and ARIMA Modelling: A case study of Turkey Erkan,” Energy, no. 19099, 2009.
[13] N. Hussain, M. Aslam, and K. Harijan, “Long-Term Electricity Demand Forecast and Supply Side Scenarios for Pakistan ( 2015-2050 ): A LEAP Model Application for Policy Analysis Long-term electricity demand forecast and supply side scenarios for Pakistan ( 2015 e 2050 ): A LEAP model application for policy analysis,” Energy, vol. 165, no. October, pp. 512–526, 2018.
[14] A. Hussain, M. Rahman, and J. Alam, “Forecasting electricity consumption in Pakistan : the way forward,” vol. 90, pp. 73–80, 2016.
[15] S. Aziz, U. Rehman, R. Fazal, G. Valasai, and N. H. Mirjat, “An Integrated Modeling Approach for Forecasting,” no. November, 2017.
[16] U. Perwez, A. Sohail, S. F. Hassan, and U. Zia, “The long-term forecast of Pakistan ’ s electricity supply and demand : An application of long range energy alternatives planning,” Energy, vol. 93, pp. 2423–2435, 2015.
[17] M. Syed, M. Farooq, and A. Qamar, “MODELING AND FORECASTING OF ENERGY SCENARIO IN PAKISTAN WITH Journal of Faculty of Engineering & Technology,” no. October 2017, 2014.
[18] H. Ishaque and H. Ishaque, “Revisiting income and price elasticities of electricity demand in Pakistan Revisiting income and price elasticities of electricity demand in Pakistan,” Econ. Res. Istraživanja, vol. 31, no. 1, pp. 1–15, 2018.
[19] T. Mamodia, “FORECASTING ELECTRICITY,” no. August, 2015.
[20] S. R. Rallapalli and S. Ghosh, “Forecasting monthly peak demand of electricity in India-A critique,” no. October, 2017.
[21] A. Ullah, Z. Neelum, and S. Jabeen, “Factors behind electricity intensity and efficiency : An econometric analysis for Pakistan,” Energy Strateg. Rev., vol. 26, no. August 2018, p. 100371, 2019.
[22] M. Zaman, F. Shaheen, A. Haider, and S. Qamar, “Examining Relationship between Electricity Consumption and its Major Determinants in Pakistan,” vol. 5, no. 4, pp. 998–1009, 2015.
[23] M. Idrees, K. Raza, and B. Aziz, “An Econometric Analysis of Electricity Demand for the Residential Sector of Pakistan,” vol. 9, pp. 1–18, 2013.
[24] M. Arshad and F. Abbas, “The dynamics of electricity demand in Pakistan : A panel cointegration analysis,” Renew. Sustain. Energy Rev., vol. 65, pp. 1159–1178, 2016.
[25] F. Mehmood, N. Fatima, and K. Ullah, “Impact of China-Pakistan economic corridor on Pakistan ’ s future energy consumption and energy saving potential : Evidence from sectoral time series analysis,” Energy Strateg. Rev., vol. 25, no. March, pp. 34–46, 2019.
[26] I. N. Kessides, “Chaos in power: Pakistan’s electricity crisis,” Energy Policy, vol. 55, pp. 271–285, Apr. 2013.
[27] Y. Book, PAKISTAN STATISTICAL YEAR BOOK. 2016.
[28] O. Rauf, S. Wang, P. Yuan, and J. Tan, “An overview of energy status and development in Pakistan,” Renew. Sustain. Energy Rev., vol. 48, pp. 892–931, 2015.
[29] F. Egelioglu, “Economic variables and electricity consumption in Northern Cyprus,” vol. 26, pp. 355–362, 2001.
[30] H. A. Amarawickrama and L. C. Hunt, “Electricity demand for Sri Lanka : A time series analysis,” vol. 33, pp. 724–739, 2008.
[31] F. Jamil and E. Ahmad, “The relationship between electricity consumption , electricity prices and GDP in Pakistan,” Energy Policy, vol. 38, no. 10, pp. 6016–6025, 2010.
[32] S. Bruno, M. De Benedictis, M. La, and I. Wangensteen, “Demand elasticity increase for reducing social welfare losses due to transfer capacity restriction : A test case on Italian cross-border imports,” vol. 76, pp. 557–566, 2006.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 01, PP. 31-38, January 2020
A hybrid type solar tunnel dryer is designed and fabricated for the commercial scale drying of different fruits and vegetables. A biomass burner box along with heat exchanger is used as backup heat source, which ensure continuous drying process during night and unfavorable weather conditions. Unidirectional forced convection is developed with a volumetric flow rate of 0.11m3/s, by using two DC exhaust fans installed at both sides of the drying chamber. A DC blower is used to push the hot air with a volumetric flow rate of 0.02m3/s, generated in either biomass burner or additional solar collector. The ultraviolet rays are blocked by covering the drying chamber by UV treated transparent polyethylene sheet, it also protect the product from birds, insects, dust, wind and rain. An additional solar collector ensure the attaining of suitable drying temperature inside the drying chamber. A PV system is installed which fulfills the power requirements, makes this solar tunnel dryer new and smart.The solar tunnel dryer is installed at US - Pakistan Center for Advanced Studies in Energy located in Peshawar, latitude and longitude of 34.0151° N, 71.5249° E. The experiments are performed on this dryer, while six solar tunnel dryers are installed at Swat to harness the great potential of different fruits.The experiments for the performance evaluation of this dryer are performed during the month of June, 2019.The performance parameters attained during experimentations are: collector efficiency is 28%, drying efficiency is 22% and drying rate is 1.46kg/hr for 50 kg of load. These parameters are in the range of international standards, indicating that this solar tunnel dryer is feasible and sustainable.
[1] Rosa Rolle S. (2006) postharvest management of fruit and vegetables in the Asia-Pacific Region, Asian Productivity Organization, Tokyo, Japan.
[2] El-Sebaii A, Shalaby SM. Solar drying of agricultural products: a review. Renew Sustain Energy Rev 2012; 16:37-43.
[3] V. Belessiotis and E. Delyannis, “Solar drying,” Sol. Energy, vol. 85, no. 8, pp. 1665–1691, Aug. 2011.
[4] O. V. Ekechukwu, “Review of solar-energy drying systems I: an overview of drying principles and theory,” Energy Convers. Manag., vol. 40, no. 6, pp. 593–613,Apr. 1999.
[5] M. V. R. Murthy, “A review of new technologies, models and experimental investigations of solar driers,” Renew. Sustain. Energy Rev., vol. 13, no. 4, pp. 835–844, May 2009.
[6] Kalogirou, SA, 2009, ‘Solar energy engineering – process and system’, Academic Press Elsevier Inc..
[7] S. Arun, S. Ayyappan and V.V. Sreenarayanan, (2014) “Experimental Studies on Drying Characteristics of Tomato in a Solar Tunnel Greenhouse Dryer,” International Journal of Recent Technology and Engineering (IJRTE), Vol.3, ISSN: 2277-387.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 01, PP. 27-30, January 2020
This work put forward the use of Lithium ion batteries as an energy storage medium with the existing uninterrupted power supplies, design for lead acid batteries by introducing an interface which takes care of different necessary parameters of Lithium Ion batteries is proposed. Li-ion battery has different voltage level per cell and demands more sophisticated control and safety measures as compare to Lead Acid battery. The interface will take its input from the UPS and will accordingly adjust its output for the Li-ion battery. The interface consists of a converter and a battery management system (BMS) for safe charging and discharging of Li-ion battery. A Li-ion battery pack topology is also proposed in the work, which ensures maximum energy extraction from the battery pack being used in UPS without compromising the life of battery pack and other constraints.
[1] Davidson, Debra J., and Wiluam R. Freudenburg. "Gender and environmental risk concerns: A review and analysis of available research." Environment and behavior 28.3 (1996): 302-339.
[2] Wang, Chengshan, and Peng Li. "Development and challenges of distributed generation, the micro-grid and smart distribution system." Automation of electric power systems 2.004 (2010).
[3] Sciarretta, Antonio, and Lino Guzzella. "Control of hybrid electric vehicles." IEEE Control Systems Magazine 27.2 (2007): 60-70.
[4] Nykvist, Björn, and Måns Nilsson. "Rapidly falling costs of battery packs for electric vehicles." Nature climate change 5.4 (2015): 329.
[5] Ibrahim, Hussein, Adrian Ilinca, and Jean Perron. "Energy storage systems—Characteristics and comparisons." Renewable and sustainable energy reviews 12.5 (2008): 1221-1250.
[6] Dunn, Bruce, Haresh Kamath, and Jean-Marie Tarascon. "Electrical energy storage for the grid: a battery of choices." Science 334.6058 (2011): 928-935.
[7] Amjad, Shaik, S. Neelakrishnan, and R. Rudramoorthy. "Review of design considerations and technological challenges for successful development and deployment of plug-in hybrid electric vehicles." Renewable and Sustainable Energy Reviews 14.3 (2010): 1104-1110.
[8] Goodenough, John B., and Kyu-Sung Park. "The Li-ion rechargeable battery: a perspective." Journal of the American Chemical Society 135.4 (2013): 1167-1176.
[9] Van Schalkwijk, Walter, and Bruno Scrosati. "Advances in lithium ion batteries introduction." Advances in Lithium-Ion Batteries. Springer, Boston, MA, 2002. 1-5.
[10] Aurbach, Doron. "Review of selected electrode–solution interactions which determine the performance of Li and Li ion batteries." Journal of Power Sources 89.2 (2000): 206-218.
[11] Joseph, Ami, and Mohammad Shahidehpour. "Battery storage systems in electric power systems." 2006 IEEE Power Engineering Society General Meeting. IEEE, 2006.
[12] Gun, J-P., et al. "Increasing UPS battery life main failure modes, charging and monitoring solutions." Proceedings of Power and Energy Systems in Converging Markets. IEEE, 1997.
[13] Gun, J-P., et al. "Increasing UPS battery life main failure modes, charging and monitoring solutions." Proceedings of Power and Energy Systems in Converging Markets. IEEE, 1997.
[14] Stan, Ana-Irina, et al. "A comparative study of lithium ion to lead acid batteries for use in UPS applications." 2014 IEEE 36th International Telecommunications Energy Conference (INTELEC). IEEE, 2014.
[15] Manwell, James F., and Jon G. McGowan. "Lead acid battery storage model for hybrid energy systems." Solar Energy 50.5 (1993): 399-405.
[16] Nitta, Naoki, et al. "Li-ion battery materials: present and future." Materials today 18.5 (2015): 252-264.
[17] Goriparti, Subrahmanyam, et al. "Review on recent progress of nanostructured anode materials for Li-ion batteries." Journal of power sources 257 (2014): 421-443.
[18] Armand, Michel, et al. "Conjugated dicarboxylate anodes for Li-ion batteries." Nature materials 8.2 (2009): 120.
[19] Zhang, S. S., K. Xu, and T. R. Jow. "The low temperature performance of Li-ion batteries." Journal of Power Sources 115.1 (2003): 137-140.
© The authors retain all copyrights
This article is open access and distributed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors disclose no conflict of interest or having no competing interest.
Vol. 7, Issue 01, PP. 22-26, January 2020
This paper present the extended evaluation in different reverberant scenarios for different mixtures of speech having interfere at one of the six angles {150, 300, 450, 600, 750, 900 } of the model which implementing spatial covariance with interauralaparameter for improving the performance of MESSL. Thetbinaural spatialtparameters, such as interauralaphase difference IPD and interauralalevel difference ILD and spatialacovariance areamodeled in the short-timeaFourieratransform. The parametersaof the model areaupdated with the expectation-maximization algorithm. The performance of the model is checked in term of Signal-to-distortion ratio (SDR) and the perceptual evaluation of speech quality (PESQ), and the results confirmed that the performance of this proposedamodel is improved in highly reverberant rooms.
[1] M. I. Mandel, R. J. Weiss, and D. P. W. Ellis, “Model-Based Expectation-Maximization Source Separation and Localization,” IEEE Trans. Audio, Speech Lang. Process., vol. 18, no. 2, pp. 382–394, 2010.
[2] A. Ephrat et al., “Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation,” vol. 37, no. 4, 2018.
[3] N. Roman, D. Wang, and G. J. Brown, “Speech segregation based on sound localization,” J. Acoust. Soc. Am., vol. 114, no. 4, pp. 2236–2252, 2003.
[4] M. L. Thesis, “Blind Single Channel Sound Source Separation Mark Leddy B . Sc , M . Sc Dublin Institute of Technology Supervisors : Dan Barry , David Dorran , Eugene Coyle,” 2010.
[5] N. Hassan and D. A. Ramli, “A Comparative study of Blind source separation for Bioacoustics sounds based on FastICA, PCA and NMF,” Procedia Comput. Sci., vol. 126, pp. 363–372, 2018.
[6] N. Q. K. Duong, E. Vincent, and R. Gribonval, “Under-determined reverberant audio source separation using a full-rank spatial covariance model,” IEEE Trans. Audio, Speech Lang. Process., vol. 18, no. 7, pp. 1830–1840, 2010.
[7] S. Rickard, “The DUET Blind Source Separation Algorithm,” pp. 217–241, 2007.
[8] V. S. Narayanaswamy, S. Katoch, J. J. Thiagarajan, H. Song, and A. Spanias, “Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets,” 2019.
[9] X. F. Gong, Q. H. Lin, F. Y. Cong, and L. De Lathauwer, “Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation,” IEEE Trans. Signal Process., vol. 66, no. 13, pp. 3475–3490, 2018.
[10] S. Rickard and O. Yilmaz, “Blind Separation of Speech Mixtures via Time-Frequency Masking,” IEEE Trans. Signal Process., vol. 52, no. 7, pp. 1830–1847, 2004.
[11] T. Gustafsson, B. D. Rao, and M. Trivedi, “Source Localization in Reverberant Environments : Part I - Modeling,” vol. 11, no. 6, pp. 1–22, 2003.
[12] T. Esch and P. Vary, “Efficient musical noise suppression for speech enhancement systems,” ICASSP, IEEE Int. Conf. Acoust. Speech Signal Process. - Proc., vol. 2, pp. 4409–4412, 2009.
[13] Z. Rafii, A. Liutkus, F. R. Stoter, S. I. Mimilakis, D. Fitzgerald, and B. Pardo, “An Overview of Lead and Accompaniment Separation in Music,” IEEE/ACM Trans. Audio Speech Lang. Process., vol. 26, no. 8, pp. 1307–1335, 2018.
[14] M. Jia, J. Sun, C. Bao, and C. Ritz, “Separation of multiple speech sources by recovering sparse and non-sparse components from B-format microphone recordings,” Speech Commun., vol. 96, no. May 2017, pp. 184–196, 2018.
[15] S. Smita, S. Biswas, and S. S. Solanki, “Audio Signal Separation and Classification: A Review Paper,” Int. J. Innov. Res. Comput. Commun. Eng., vol. 2, no. 11, pp. 6960–6966, 2014.
[16] N. Q. K. Duong, E. Vincent, and R. Gribonval, “Under-determined convolutive blind source separation using spatial covariance models,” ICASSP, IEEE Int. Conf. Acoust. Speech Signal Process. - Proc., pp. 9–12, 2010.
[17] M. S. Khan, S. M. Naqvi, and J. Chambers, “Two-stage audio-visual speech dereverberation and separation based on models of the interaural spatial cues and spatial covariance,” 2013 18th Int. Conf. Digit. Signal Process. DSP 2013, 2013.
[18] B. Schuller, “【Metrics】Performance Measurement in Blind Audio Source Separation,” vol. 14, no. 4, pp. 139–147, 2013.