A systematic review of solar photovoltaic energy systems design modelling, algorithms, and software

References

• Abbes, D., A. Martinez, and G. Champenois. 2013. Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems. Mathematics and Computers in Simulation 98 (2013):46–62. doi:10.1016/j.matcom.2013.05.004.
   Google Scholar
• Ahmadi, S., and S. Abdi. 2016. Application of the Hybrid Big Bang – Big Crunch algorithm for optimal sizing of a stand-alone hybrid PV/wind/battery system. Solar Energy 134 (2016):366–74. doi:10.1016/j.solener.2016.05.019.
   Google Scholar
• Al Busaidi, A. S., H. A. Kazem, A. H. Al-Badi, and M. Farooq Khan. 2016. A review of optimum sizing of hybrid PV-Wind renewable energy systems in Oman. Renewable and Sustainable Energy Reviews 53:185–93. doi:10.1016/j.rser.2015.08.039.
   Web of Science ®Google Scholar
• Al-falahi, M. D. A., S. D. G. Jayasinghe, and H. Enshaei. 2017. A review on recent size optimization methodologies for standalone solar and wind hybrid renewable energy system. Energy Conversion and Management 143:252–74. doi:10.1016/j.enconman.2017.04.019.
   Web of Science ®Google Scholar
• Al-Waeli, A. H. A., K. Sopian, H. A. Kazem, and M. T. Chaichan. 2017. Photovoltaic/Thermal (PV/T) systems: Status and future prospects. Renewable and Sustainable Energy Reviews 77 (2017):109–30. doi:10.1016/j.rser.2017.03.126.
   Google Scholar
• Al-Waeli, A. H. A., K. Sopian, H. A. Kazem, and M. T. Chaichan. 2018. Nanofluid based grid connected PV/T systems in Malaysia: A techno-economical assessment. Sustainable Energy Technologies and Assessments 28. doi:10.1016/j.seta.2018.06.017.
   Web of Science ®Google Scholar
• Ali H, A., H. Alwaeli, A. Kazem, M. T. C, and K. S. 2019. Photovoltaic/Thermal (PV/T) systems: Principles, design, and applications. 1st ed. Switzerland: Springer Nature.
   Google Scholar
• Alsadi, S., and T. Khatib. 2018. Photovoltaic power systems optimization research status: A review of criteria, constrains, models, techniques, and software tools. Applied Sciences 8 (10):1761. doi:10.3390/app8101761.
   Google Scholar
• Anoune, K., M. Bouya, A. Astito, and A. Ben. 2018. Sizing methods and optimization techniques for PV-wind based hybrid renewable energy system : A review. Renewable and Sustainable Energy Reviews 93(October):652–73. 2017. doi:10.1016/j.rser.2018.05.032.
   Google Scholar
• Aronson, E. A., D. L. Caskey, and B. C. Caskey. 1981. SOLSTOR description and user’s guide, Vols. SAND79-233. Sandia National Lab.(SNL-NM), Albuquerque, NM (United States).
   Google Scholar
• Askarzadeh, A. 2013. A discrete chaotic harmony search-based simulated annealing algorithm for optimum design of PV/wind hybrid system. Solar Energy 97 (2013):93–101. doi:10.1016/j.solener.2013.08.014.
   Google Scholar
• Askarzadeh, A., and S. Coelho. 2015. A novel framework for optimization of a grid independent hybrid renewable energy system : A case study of Iran. Solar Energy 112 (2015):383–96. doi:10.1016/j.solener.2014.12.013.
   Google Scholar
• Automation, J., R. Verma, A. Gupta, and K. Singh. 2008. Simulation Software Evaluation and Selection: Comprehensive Framework. Automation & Systems Engineering 4:221–34.
   Google Scholar
• Baghaee, H. R., M. Mirsalim, G. B. Gharehpetian, and H. A. Talebi. 2016. Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system. Energy 115 (2016):1022–41. doi:10.1016/j.energy.2016.09.007.
   Google Scholar
• Baneshi, M., and F. Hadianfard. 2016. Techno-economic feasibility of hybrid diesel/PV/wind/battery electricity generation systems for non-residential large electricity consumers under southern Iran climate conditions. Energy Conversion and Management 127 (2016):233–44. doi:10.1016/j.enconman.2016.09.008.
   Google Scholar
• Bashahu, M., and P. Nkundabakura. 2007. Review and tests of methods for the determination of the solar cell junction ideality factors. Solar Energy 81 (7):856–63. doi:10.1016/j.solener.2006.11.002.
   Web of Science ®Google Scholar
• Bhuiyan, F. A., A. Yazdani, and S. L. Primak. 2015. Optimal sizing approach for islanded microgrids. IET Renewable Power Generation 9 (June 2014):166–75. doi:10.1049/iet-rpg.2013.0416.
   Google Scholar
• Bissels, G. M. M. W., J. J. Schermer, M. A. H. Asselbergs, E. J. Haverkamp, P. Mulder, G. J. Bauhuis, and E. Vlieg. 2014. Solar Energy Materials & Solar Cells Theoretical review of series resistance determination methods for solar cells. Solar Energy Materials and Solar Cells 130:605–14. doi:10.1016/j.solmat.2014.08.003.
   Web of Science ®Google Scholar
• Boyd, M. T., S. A. Klein, D. T. Reindl, and B. P. Dougherty. 2011. Evaluation and validation of equivalent circuit photovoltaic solar cell performance models. Journal of Solar Energy Engineering 133 (2):1–14. doi:10.1115/1.4003584.
   Web of Science ®Google Scholar
• Cameron, C. P., W. E. Boyson, and D. M. Riley (2008). Comparison of PV system performance-model predictions with measured PV system performance. Conference Record of the IEEE Photovoltaic Specialists Conference, 2–7. San Diego, CA, USA. doi: 10.1109/PVSC.2008.4922865
   Google Scholar
• Castro, P. M., R. M. Lima, A. Estanqueiro, G. Energia, and F. De Ci. 2015. Integrated sizing and scheduling of wind/PV/diesel/battery isolated systems. Renewable Energy 83 (2015):646–57. doi:10.1016/j.renene.2015.04.066.
   Google Scholar
• Chang, K., and G. Lin. 2015. Simulation modelling practice and theory optimal design of hybrid renewable energy systems using simulation optimization. Simulation Modelling Practice and Theory 52 (2015):40–51. doi:10.1016/j.simpat.2014.12.002.
   Google Scholar
• Chen, C., S. Duan, T. Cai, and B. Liu. 2011. Online 24-h solar power forecasting based on weather type classification using artificial neural network. Solar Energy 85 (11):2856–70. doi:10.1016/j.solener.2011.08.027.
   Web of Science ®Google Scholar
• Chen, H. 2013. Optimum capacity determination of stand-alone hybrid generation system considering cost and reliability. Applied Energy 103 (2013):155–64. doi:10.1016/j.apenergy.2012.09.022.
   Google Scholar
• Cho, J., M. Chun, and W. Hong. 2016. Structure optimization of stand-alone renewable power systems based on multi object function. Energi 9 (649):1–19. doi:10.3390/en9080649.
   Google Scholar
• Connolly, D., H. Lund, B. V. Mathiesen, and M. Leahy. 2010. A review of computer tools for analysing the integration of renewable energy into various energy systems. Applied Energy 87 (4):1059–82. doi:10.1016/j.apenergy.2009.09.026.
   Web of Science ®Google Scholar
• De Soto, W., S. A. Klein, and W. A. Beckman. 2006. Improvement and validation of a model for photovoltaic array performance. Solar Energy 80 (2006):78–88. doi:10.1016/j.solener.2005.06.010.
   Google Scholar
• Demenkova, T. A., O. A. Korzhova, and A. A. Phinenko. 2017. Modelling of algorithms for solar panels control systems. Procedia - Procedia Computer Science 103 (October 2016):589–96. doi:10.1016/j.procs.2017.01.072.
   Google Scholar
• Deshmukh, S., Y. Baghzouz, and R. F. Boehm (2006). ISEC2006-99151 Design of grid connected-PV system for a Hydrogen refueling station. International Solar Energy Conference, 171–75. Denver, Colorado, USA.
   Google Scholar
• Dufo-l, R., I. R. Cristóbal-Monreal, and J. M. Yusta. 2016. Optimisation of PV-wind-diesel-battery stand-alone systems to minimise cost and maximise human development index and job creation. Renewable Energy 94 (2016):280–93. doi:10.1016/j.renene.2016.03.065.
   Google Scholar
• Dufo-lópez, R., J. L. Bernal-agustín, J. M. Yusta-loyo, J. A. Domínguez-navarro, I. J. Ramírez-rosado, J. Lujano, and I. Aso. 2011. Multi-objective optimization minimizing cost and life cycle emissions of stand-alone PV – Wind – Diesel systems with batteries storage. Applied Energy 88 (2011):4033–41. doi:10.1016/j.apenergy.2011.04.019.
   Google Scholar
• Eduardo, C., C. Nogueira, M. L. Vidotto, R. K. Niedzialkoski, S. Nelson, M. De Souza, I. Werncke, and I. Werncke. 2014. Sizing and simulation of a photovoltaic-wind energy system using batteries, applied for a small rural property located in the south of Brazil. Renewable and Sustainable Energy Reviews 29 (2014):151–57. doi:10.1016/j.rser.2013.08.071.
   Google Scholar
• Ezeanya, E. K., G. H. Massiha, W. E. Simon, J. R. Raush, T. L. Chambers, E. K. Ezeanya, … R. Jonathan. 2018. System advisor model (SAM) simulation modelling of a concentrating solar thermal power plant with comparison to actual performance data. Cogent Engineering 5 (1):1–26. doi:10.1080/23311916.2018.1524051.
   Google Scholar
• Fadaeenejad, M., M. A. M. Radzi, M. Z. A. Abkadir, and H. Hizam. 2014. Assessment of hybrid renewable power sources for rural electri fi cation in Malaysia. Renewable and Sustainable Energy Reviews 30 (2014):299–305. doi:10.1016/j.rser.2013.10.003.
   Google Scholar
• Fathy, A. 2016. A reliable methodology based on mine blast optimization algorithm for optimal sizing of hybrid PV-wind-FC system for remote area in Egypt. Renewable Energy 95 (2016):367–80. doi:10.1016/j.renene.2016.04.030.
   Google Scholar
• Fayaz, H., Rahim, N. A., Saidur, R., & Hasanuzzaman, M. (2018, May). Techno-economıc analysıs of evacuated tube solar water heater usıng F-chart method. In IOP Conference Series: Materials Science and Engineering (Vol. 358, No. 1, p. 012016). IOP Publishing.
   Google Scholar
• Florschuetz, L. W. 1979. Extension of the Hottel-Whillier model to the analysis of combined photovoltaic/thermal flat plate collectors. Solar Energy 22 (4):361–66. doi:10.1016/0038-092X(79)90190-7.
   Web of Science ®Google Scholar
• Gan, L. K., J. K. H. Shek, and M. A. Mueller. 2015. Hybrid wind – Photovoltaic – Diesel – Battery system sizing tool development using empirical approach, life-cycle cost and performance analysis : A case study in Scotland. ENERGY CONVERSION AND MANAGEMENT 106:479–94. doi:10.1016/j.enconman.2015.09.029.
   Web of Science ®Google Scholar
• Gharavi, H., M. M. Ardehali, and S. Ghanbari-tichi. 2015. Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions. Renewable Energy 78 (2015):427–37. doi:10.1016/j.renene.2015.01.029.
   Google Scholar
• Gholami, A., M. Ameri, M. Zandi, R. G. Ghoachani, S. P, and H. A. K. 2022. Step-by-step guide to model photovoltaic panels: An Up-To-Date comparative review study. IEEE Journal of Photovoltaics 12 (4):915–28. doi:10.1109/JPHOTOV.2022.3169525.
   Web of Science ®Google Scholar
• Gilman, P., N. Blair, M. Mehos, C. Christensen, P. Gilman, N. Blair, … C. Christensen. 2008. Solar advisor model user guide for version 2 . 0 solar advisor model user guide for version 2 . 0.
   Google Scholar
• Goldstein, L. H., and G. R. Case. 1978. PVSS-A photovoltaic system simulation program. Solar Energy 21 (1):37–43. doi:10.1016/0038-092X(78)90114-7.
   Web of Science ®Google Scholar
• Green, H. J., and J. Manwell. 1995. HYBRID2–A versatile model of the performance of hybrid power systems. (No. NREL/TP-441-7807; CONF-950309-1). National Renewable Energy Lab.(NREL), Golden, CO (United States).
   Google Scholar
• Gupta, R. A., R. Kumar, and A. Kumar. 2015. BBO-based small autonomous hybrid power system optimization incorporating wind speed and solar radiation forecasting. Renewable and Sustainable Energy Reviews 2015:1366–75. doi:10.1016/j.rser.2014.09.017.
   Google Scholar
• Hassan, A., M. Saadawi, M. Kandil, and M. Saeed. 2015. Modified particle swarm optimisation technique for optimal design of small renewable energy system supplying a specific load at Mansoura University. 9 (2015):474–83. doi:10.1049/iet-rpg.2014.0170.
   Google Scholar
• Hong, Y., S. Member, and R. Lian. 2012. Optimal Sizing of Hybrid Wind/PV/Diesel generation in a stand-alone power system using Markov-based genetic algorithm. IEEE Transactions on Power Delivery 27 (2):640–47. doi:10.1109/TPWRD.2011.2177102.
   Web of Science ®Google Scholar
• Imam, A. A., Y. A. Al-turki, and S. K. R. 2020. Techno-economic feasibility assessment of grid-connected pv systems for residential buildings in Saudi Arabia — A case study roughly. Sustainability 12 (1): 262.
   Google Scholar
• Ishaque, K., Z. Salam, and H. Taheri. 2011. Accurate MATLAB Simulink PV system simulator based on a two-diode model. Journal of Power Electronics 11 (2):179–87. doi:10.6113/JPE.2011.11.2.179.
   Web of Science ®Google Scholar
• Kaabeche, A., and R. Ibtiouen. 2014. Techno-economic optimization of hybrid photovoltaic/wind/diesel/battery generation in a stand-alone power system. Solar Energy 103 (2014):171–82. doi:10.1016/j.solener.2014.02.017.
   Google Scholar
• Kaldellis, J. K., and P. Fragos. 2011. Ash deposition impact on the energy performance of photovoltaic generators. Journal of Cleaner Production 19 (4):311–17. doi:10.1016/j.jclepro.2010.11.008.
   Web of Science ®Google Scholar
• Kamjoo, A., A. Maheri, A. M. Dizqah, and G. A. Putrus. 2016. Multi-objective design under uncertainties of hybrid renewable energy system using NSGA-II and chance constrained programming. Electrical Power and Energy Systems 74 (2016):187–94. doi:10.1016/j.ijepes.2015.07.007.
   Google Scholar
• Katsigiannis, Y. A., P. S. Georgilakis, S. Member, and E. S. Karapidakis. 2012. Hybrid simulated annealing – tabu search method for optimal sizing of autonomous power systems with renewables. IEEE Transactions on Sustainable Energy 3 (3):330–38. doi:10.1109/TSTE.2012.2184840.
   Web of Science ®Google Scholar
• Kazem, H. A., and T. Khatib. 2013. A novel numerical algorithm for optimal sizing of a photovoltaic/wind/ diesel generator/battery microgrid using loss of load probability index. International Journal of Photoenergy 2013. doi:10.1155/2013/718596.
   Web of Science ®Google Scholar
• Kazem, H. A., T. Khatib, and A. A. K. Alwaeli (2013). Optimization of photovoltaic modules tilt angle for Oman. Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013. Malaysia. 10.1109/PEOCO.2013.6564637
   Google Scholar
• Kazem, H. A., T. Khatib, and K. Sopian. 2013. Sizing of a standalone photovoltaic/battery system at minimum cost for remote housing electrification in Sohar, Oman. Energy and Buildings 61. doi:10.1016/j.enbuild.2013.02.011.
   Web of Science ®Google Scholar
• Kazem, H. A., T. Khatib, and K. Sopian. 2013. Sizing of a standalone photovoltaic/battery system at minimum cost for remote housing electrification in Sohar, Oman. Energy and Buildings 61:108–15. doi:10.1016/j.enbuild.2013.02.011.
   Web of Science ®Google Scholar
• Kazem, H. A., T. Khatib, and K. Sopian. 2013. Sizing of a standalone photovoltaic/battery system at minimum cost for remote housing electrification in Sohar, Oman. Energy and Buildings 61:108–15.
   Web of Science ®Google Scholar
• Kazem, H. A., and T. Khatib. 2013. Techno-economical assessment of grid connected photovoltaic power systems productivity in Sohar, Oman. Sustainable Energy Technologies and Assessments 3:61–65. doi:10.1016/j.seta.2013.06.002.
   Google Scholar
• Kazem, H. A., T. Khatib, K. Sopian, and W. Elmenreich. 2014. Performance and feasibility assessment of a 1.4 kW roof top grid-connected photovoltaic power system under desertic weather conditions. Energy and Buildings 82:123–29. doi:10.1016/j.enbuild.2014.06.048.
   Web of Science ®Google Scholar
• Kazem, H. A. 2016. Teaching photovoltaic principles at the university. Photovoltaics for Sustainable Electricity and Buildings. doi:10.1007/978-3-319-39280-6_6.
   Google Scholar
• Kazem, H. A. 2020 March. Evaluation of PV output in terms of environmental impact based on mathematical and artificial neural network models. International Journal of Energy Research 1–17. doi:10.1002/er.5564.
   Web of Science ®Google Scholar
• Kazem, H. A., M. T. Chaichan, A. H. A. Al-Waeli, and K. Sopian. 2020. A review of dust accumulation and cleaning methods for solar photovoltaic systems. Journal of Cleaner Production 276:123187. doi:10.1016/j.jclepro.2020.123187.
   Web of Science ®Google Scholar
• Kendrick, L., J. Pihl, I. Weinstock, D. Meiners, and D. Trujillo. 2003. Hybrid generation model simulator (HybSim). SAND2003-3790A, Sandia National Laboratories, Albuquerque, NM.
   Google Scholar
• Khatib, T., A. Mohamed, and K. Sopian. 2012. Optimization of a PV/wind micro-grid for rural housing electrification using a hybrid iterative/genetic algorithm: Case study of Kuala Terengganu, Malaysia. Energy and Buildings 47:321–31. doi:10.1016/j.enbuild.2011.12.006.
   Web of Science ®Google Scholar
• Khatib, T., K. Sopian, and H. A. Kazem. 2013. Actual performance and characteristic of a grid connected photovoltaic power system in the tropics: A short term evaluation. Energy Conversion and Management 71:115–19. doi:10.1016/j.enconman.2013.03.030.
   Web of Science ®Google Scholar
• Khatod, D. K., V. Pant, and J. Sharma. 2010. Analytical approach for well-being assessment of small autonomous power systems with solar and wind energy sources. IEEE Transactions on Energy Conversion 25 (2):535–45. doi:10.1109/TEC.2009.2033881.
   Web of Science ®Google Scholar
• King, D. L., Kratochvil, J. A., & Boyson, W. E. (2004). Photovoltaic array performance model.
   Google Scholar
• King, D. L., J. A. Kratochvil, and W. E. Boyson. 2004. Photovoltaic array performance model. Online 8 (December):1–19. doi:10.2172/919131.
   Google Scholar
• Kosek, A. M., L. Ontje, S. Scherfke, O. Gehrke, and S. Rohjans (2014). Evaluation of smart grid control strategies in co-simulation - integration of IPSYS and mosaik. 2014 Power Systems Computation Conference, (3), 1–7. Wroclaw, Poland.
   Google Scholar
• Kumar, N. M. (2017). Simulation tools for technical sizing and analysis of solar PV systems. 6th World Conference on Applied Sciences, Engineering and Technology, (August), 218–22.
   Google Scholar
• Kumar, N. M. (2017). Simulation tools for technical sizing and analysis of solar PV systems. In Proceedings of the 6th World Conference on Applied Sciences, Engineering and Technology) (Vol. 201, pp. 218–22 (WCSET-).
   Google Scholar
• Kumar, N. M., M. R. Kumar, P. R. Rejoice, and M. Mathew. 2017b. Performance analysis of 100 kWp grid connected Si-poly and Cooling Performance analysis of grid Heating connected Si-poly photovoltaic system using PVsyst simulation tool. Energy Procedia 117:180–89. doi:10.1016/j.egypro.2017.05.121.
   Google Scholar
• Lacoste, B. (2009). Kombimodul Solarthermie-Photovoltaik in Polysun. Symposiums Für Thermische Solarenergie Des OTTI, 1–7. Bad Staffelstein, Germany.
   Google Scholar
• Lalwani, M., D. P. Kothari, and M. Singh. 2010. Investigation of solar photovoltaic simulation softwares. International Journal of Applied Engineering Research 1 (3):585–601.
   Google Scholar
• Linn, J. K. (1977). Photovoltaic System Analysis Program: SOLCEL. Retrieved from https://www.osti.gov/biblio/5358593
   Google Scholar
• Lujano-rojas, J. M., R. Dufo-lópez, and J. L. Bernal-agustín. 2013. Probabilistic modelling and analysis of stand-alone hybrid power systems. Energy 63 (2013):19–27. doi:10.1016/j.energy.2013.10.003.
   Google Scholar
• Ma, G., G. Xu, Y. Chen, and R. Ju. 2016. Multi-objective optimal configuration method for a standalone wind – Solar – Battery hybrid power system. IET Renewable Power Generation 11 (1):194–202. doi:10.1049/iet-rpg.2016.0646.
   Web of Science ®Google Scholar
• Madaeni, S. H., P. Denholm, and P. Denholm. 2012. Comparison of capacity value methods for photovoltaics in the Western United States comparison of capacity value methods for photovoltaics in the Western United States.
   Google Scholar
• Maleki, A., and A. Askarzadeh. 2014a. Artificial bee swarm optimization for optimum sizing of a stand-alone PV/WT/FC hybrid system considering LPSP concept. Solar Energy 107 (2014):227–35. doi:10.1016/j.solener.2014.05.016.
   Google Scholar
• Maleki, A., and A. Askarzadeh. 2014b. Optimal sizing of a PV/wind/diesel system with battery storage for electrification to an off-grid remote region : A case study of Rafsanjan, Iran. Sustainable Energy Technologies and Assessments 7 (2014):147–53. doi:10.1016/j.seta.2014.04.005.
   Google Scholar
• Maleki, A., and F. Pourfayaz. 2015. Optimal sizing of autonomous hybrid photovoltaic/wind/battery power system with LPSP technology by using evolutionary algorithms. Solar Energy 115 (2015):471–83. doi:10.1016/j.solener.2015.03.004.
   Google Scholar
• Maleki, A., M. Gholipour, and M. Ameri. 2016. Electrical power and energy systems optimal sizing of a grid independent hybrid renewable energy system incorporating resource uncertainty, and load uncertainty. International Journal of Electrical Power and Energy Systems 83 (2016):514–24. doi:10.1016/j.ijepes.2016.04.008.
   Google Scholar
• Maleki, A., M. Gholipour, and M. A. Rosen. 2016. Weather forecasting for optimization of a hybrid solar-wind e powered reverse osmosis water desalination system using a novel optimizer approach. Energy 114 (2016):1120–34. doi:10.1016/j.energy.2016.06.134.
   Google Scholar
• Manwell, J. F., J. G. Mcgowan, U. Abdulwahid, and K. Wu (2005). Improvements to the Hybrid2 Battery Model by. American Wind Energy Association Windpower 2005 Conference, USA. (1), 1–22.
   Google Scholar
• Mehos, M., and D. Mooney. 2005. Performance and cost model for solar energy technologies in support of the systems-driven approach. Golden: National Renewable Energy Lab.(NREL). No. NREL/CP-550-37085.
   Google Scholar
• Menicucci, D. F. (1985). PVFORM: A new approach to photovoltaic system performance modeling. 18th IEEE Photovoltaic Specialists Conference. Las Vegas, US.
   Google Scholar
• Menicucci, D. F., and J. P. Fernandez (1989). User`s manual for PVFORM: A photovoltaic system simulation program for stand-alone and grid-interactive applications. Retrieved from https://www.osti.gov/biblio/10112249
   Google Scholar
• Mermoud, A. (1995). Use and validation of PVSYST, a user-friendly software for PV-system design. In Thirteenth European Photovoltaic Solar Energy Conference. HS Stephens.
   Google Scholar
• Mokheimer, E. M. A., A. Z. Sahin, A. Al-sharafi, and A. I. Ali. 2013. Modeling and optimization of hybrid wind – Solar-powered reverse osmosis water desalination system in Saudi Arabia. Energy Conversion and Management 75 (2013):86–97. doi:10.1016/j.enconman.2013.06.002.
   Google Scholar
• Mukhtaruddin, R. N. S. R., H. A. Rahman, M. Y. Hassan, and J. J. Jamian. 2015. Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique. International Journal of Electrical Power and Energy Systems 64 (2015):242–49. doi:10.1016/j.ijepes.2014.07.030.
   Google Scholar
• ochacker, M. P. ¨., and W. E. Tamer Khatib (2014). The microgrid simulation tool RAPSim : Description and case study. 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), 278–83.
   Google Scholar
• Ogunjuyigbe, A. S. O., T. R. Ayodele, and O. A. Akinola. 2016. Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building. Applied Energy 171 (2016):153–71. doi:10.1016/j.apenergy.2016.03.051.
   Google Scholar
• Paliwal, P., N. P. Patidar, and R. K. Nema. 2014. Determination of reliability constrained optimal resource mix for an autonomous hybrid power system using Particle Swarm Optimization. Renewable Energy 63 (2014):194–204. doi:10.1016/j.renene.2013.09.003.
   Google Scholar
• Perez, R., T. Hoff, C. Herig, and J. Shah. 2003. Maximizing PV peak shaving with solar load control : Validation of a web-based economic evaluation tool. Solar Energy 74 (2003):409–15. doi:10.1016/S0038-092X(03)00184-1.
   Google Scholar
• Perez, R., R. Reed, and T. Hoff. 2004. Validation of a simplified PV simulation engine. Solar Energy 77(4):357–62. SPEC. ISS. doi:10.1016/j.solener.2004.03.011.
   Web of Science ®Google Scholar
• Petrana, S., E. A. Setiawan, and A. Januardi (2018). Solar panel performance analysis under Indonesian tropic climate using sandia PV array performance model and five parameter performance model. E3S Web of Conferences, 02048, 1–11. Bali, Indonesia.
   Google Scholar
• Quaschning, V., and R. Hanitsch. 1998. Irradiance calculation on shadad surfaces. Solar Energy 62 (5):369–75. doi:10.1016/S0038-092X(98)00018-8.
   Web of Science ®Google Scholar
• Rajkumar, R. K., V. K. Ramachandaramurthy, B. L. Yong, and D. B. Chia. 2011. Techno-economical optimization of hybrid pv/wind/battery system using Neuro-Fuzzy. Energy 36 (8):5148–53. doi:10.1016/j.energy.2011.06.017.
   Web of Science ®Google Scholar
• Rashid Khalifeh Soltani, S., A. Mostafaeipour, K. Almutairi, S. Jalaladdin Hosseini Dehshiri, K. Seyyed Shahabaddin Hosseini Dehshiri, and K. Techato. 2021. Predicting effect of floating photovoltaic power plant on water loss through surface evaporation for wastewater pond using artificial intelligence: A case study. Sustainable Energy Technologies and Assessments 50:101849. doi:10.1016/j.seta.2021.101849.
   Web of Science ®Google Scholar
• Rezaei, S. H., A. Witzig, and J. M. 2009. Design Methodology for Combined Solar and Geothermal Systems. Estec 1–8.
   Google Scholar
• Rezaei, S. H., A. Witzig, M. Pfeiffer, B. Lacoste, and A. W. (2009). Modeling and analyzing solar cooling systems in polysun. 3rd International Conference for Solar Air-Conditioning, 1–7. Palermo, Italy.
   Google Scholar
• Rodolfo, D.-L., I. A. R. Crist obal-Monreal, and J. E. M. Yusta. 2016. Stochastic-heuristic methodology for the optimisation of components and control variables of PV-wind-diesel-battery stand-alone systems. Renewable Energy 99 (2016):919–35. doi:10.1016/j.renene.2016.07.069.
   Google Scholar
• Ropp, M. E., M. Begovic, A. Rohatgi, and R. Long. 1997. Design considerations for large roof-integrated photovoltaic arrays. Progress in Photovoltaics: Research and Applications 5 (October 1996):55–67. doi:10.1002/(SICI)1099-159X(199701/02)5:1<55::AID-PIP156>3.0.CO;2-2.
   Google Scholar
• Saleem, H., and S. Karmalkar. 2009. An analytical method to extract the physical parameters of a solar cell from four points on the illuminated J – V curve. IEEE Electron Device Letters 30 (4):349–52. doi:10.1109/LED.2009.2013882.
   Web of Science ®Google Scholar
• Salmanoğlu, F., and N. S. Çetin. 2013. The software package for design optimization of the wind/photovoltaic autonomous hybrid power system: A case study for ankara city. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 35 (20):1946–55. doi:10.1080/15567036.2011.572114.
   Web of Science ®Google Scholar
• Sanajaoba, S., and E. Fernandez. 2016. Maiden application of Cuckoo Search algorithm for optimal sizing of a remote hybrid renewable energy System. Renewable Energy 96 (2016):1–10. doi:10.1016/j.renene.2016.04.069.
   Google Scholar
• Sanchez, V. M., A. U. Chavez-ramirez, S. M. Duron-torres, J. Hernandez, L. G. Arriaga, and J. M. Ramirez. 2014. Techno-economical optimization based on swarm intelligence algorithm for a stand-alone wind-photovoltaic-hydrogen power system at south-east region of Mexico. International Journal of Hydrogen Energy 39 (29):16646–55. doi:10.1016/j.ijhydene.2014.06.034.
   Web of Science ®Google Scholar
• Serrano-Luján, L., C. Toledo, J. M. Colmenar, J. Abad, and A. U. 2022. Accurate thermal prediction model for building-integrated photovoltaics systems using guided artificial intelligence algorithms. Applied Energy 315:119015. doi:10.1016/j.apenergy.2022.119015.
   Web of Science ®Google Scholar
• Shekoofa, O., J. Wang, Y. Luo, C. Sun, and B. Xiong (2015). PVSIM-GUI, a characterization tool for parameter extraction, modeling and simulation of pv devices. 31st European Photovoltaic Solar Energy Conference and Exhibitation, 2249–52. Hamburg, Germany.
   Google Scholar
• Sheng, W., K. Liu, X. Meng, X. Ye, and Y. Liu. 2014. Research and practice on typical modes and optimal allocation method for PV-Wind-ES in Microgrid. Electric Power Systems Research 120 (2014):242–55. doi:10.1016/j.epsr.2014.02.011.
   Google Scholar
• Shi, Z., R. Wang, and T. Zhang. 2015. Multi-objective optimal design of hybrid renewable energy systems using preference-inspired coevolutionary approach. Solar Energy 118 (2015):96–106. doi:10.1016/j.solener.2015.03.052.
   Google Scholar
• Shi, B., W. Wu, and L. Yan. 2016. Size optimization of stand-alone PV/wind/diesel hybrid power generation systems. Journal of the Taiwan Institute of Chemical Engineers (2016):1–9. doi:10.1016/j.jtice.2016.07.047.
   Google Scholar
• Silvestre, S., and L. Castan. 2002. Modelling photovoltaic systems using PSpice 1. John Wiley and Sons. Hoboken, New Jersey, United States.
   Google Scholar
• Singh, S., M. Singh, and S. Chandra. 2016. Feasibility study of an islanded microgrid in rural area consisting of PV, wind, biomass and battery energy storage system. Energy Conversion and Management 128 (2016):178–90. doi:10.1016/j.enconman.2016.09.046.
   Google Scholar
• Singh, S., M. Singh, and S. C. Kaushik. 2016. A review on optimization techniques for sizing of solar-wind hybrid energy systems. International Journal of Green Energy 13 (15):1564–78. doi:10.1080/15435075.2016.1207079.
   Web of Science ®Google Scholar
• Sinha, S., and S. S. Chandel. 2014. Review of software tools for hybrid renewable energy systems. Renewable and Sustainable Energy Reviews 32:192–205. doi:10.1016/j.rser.2014.01.035.
   Web of Science ®Google Scholar
• Sinha, S., and S. S. Chandel. 2015. Review of recent trends in optimization techniques for solar photovoltaic – Wind based hybrid energy systems. Renewable and Sustainable Energy Reviews 50 (2015):755–69. doi:10.1016/j.rser.2015.05.040.
   Google Scholar
• Suhane, P., S. Rangnekar, A. Mittal, and A. Khare. 2016. Sizing and performance analysis of standalone wind-photovoltaic based hybrid energy system using ant colony optimisation. IET Renewable Power Generation 10 (2016):964–72. doi:10.1049/iet-rpg.2015.0394.
   Google Scholar
• Tahani, M., N. Babayan, and A. Pouyaei. 2015. Optimization of PV/Wind/Battery stand-alone system, using hybrid FPA/SA algorithm and CFD simulation, case study : Tehran. Energy Conversion and Management 106 (2015):644–59. doi:10.1016/j.enconman.2015.10.011.
   Google Scholar
• Thula, M., M. N. Kumar, and V. Swetha Reddy. (2017). Simulation and performance analysis of 100kWp solar rooftop using solar pro software. International Conference on Innovations in Power and Advanced Computing Technologies [i-PACT2017] 1–5.
   Google Scholar
• Tiba, C., and E. M. D. S. Barbosa. 2002. Softwares for designing, simulating or providing diagnosis of photovoltaic water- pumping systems. Renewable Energy 25 (1):101–13. doi:10.1016/S0960-1481(00)00172-5.
   Web of Science ®Google Scholar
• Tito, S. R., T. T. Lie, and T. N. Anderson. 2016. Optimal sizing of a wind-photovoltaic-battery hybrid renewable energy system considering socio-demographic factors. Solar Energy 136 (2016):525–32. doi:10.1016/j.solener.2016.07.036.
   Google Scholar
• Turcotte, D., M. Ross, F. Sheriff, L. Blvd, and C. Tel (2001). Photovoltaic hybrid system sizing and simulation tools: Status and needs. PV Horizon: Workshop on Photovoltaic Hybrid Systems, (November), 1–10.
   Google Scholar
• Van Dyk, E. E., A. R. Gxasheka, and E. L. Meyer. 2005. Monitoring current–voltage characteristics and energy output of silicon photovoltaic modules. Renewable Energy 30 (3):399–411.
   Web of Science ®Google Scholar
• Wang, Y., W. Guo, E. Hanna, and G. Colantuono. 2014. Three-dimensional SOlar RAdiation model (SORAM) and its application to 3-D urban planning. Solar Energy 101 (2014):63–73. doi:10.1016/j.solener.2013.12.023.
   Google Scholar
• Witzig, A., U. Stöckli, R. B. Patrick Kistler, and M. P. (2010). Polysun Inside : A Universal platform for commercial software and research applications. EuroSun 2010, International Conference on Solar Heating, Cooling and Buildings, (October), 1–8. Graz, Austria.
   Google Scholar
• Woertz, H. C. H., and B. B. 1942. The performance of flat-plate solar-heater collectors. Transactions of ASME 64:91–104.
   Google Scholar
• Yimen, N., and M. Dagbasi. 2019. Multi-attribute decision-making: Applying a modified Brown–Gibson model and RETScreen software to the optimal location process of utility-scale photovoltaic plants. Processes 5 (505):1–21.
   Google Scholar
• Yoo, S. 2011. Simulation for an optimal application of BIPV through parameter variation. Solar Energy 85 (7):1291–301. doi:10.1016/j.solener.2011.03.004.
   Web of Science ®Google Scholar
• Young, A., and M. Yung. 2001. A PVSS as hard as discrete log and shareholder separability. In International workshop on public key cryptography, 287–99. Berlin Heidelberg: Springer.
   Google Scholar
• Youssef, A., M. El-Telbany, and A. Zekry. 2017. The role of artificial intelligence in photo-voltaic systems design and control: A review. Renewable and Sustainable Energy Reviews 78 (November):72–79. doi:10.1016/j.rser.2017.04.046.
   Google Scholar
• Zahboune, H., S. Zouggar, G. Krajacic, P. Sabev, M. Elhafyani, and E. Ziani. 2016. Optimal hybrid renewable energy design in autonomous system using modified electric system cascade analysis and homer software loss of power supply probability. Energy Conversion and Management 126 (2016):909–22. doi:10.1016/j.enconman.2016.08.061.
   Google Scholar
• Zhao, Z., X. Zhang, Y. Fang, and S. Member. 2015. Stacked multi-layer self-organizing map for background modeling. IEEE Transactions on Image Processing 7149 (c):1–10. doi:10.1109/TIP.2015.2427519.
   Google Scholar
• Zhou, T., and W. Sun. 2014. Optimization of battery – supercapacitor hybrid energy storage station in wind/solar generation system. IEEE Transactions on Sustainable Energy 5 (2):408–15. doi:10.1109/TSTE.2013.2288804.
   Web of Science ®Google Scholar