A new approach to comparing photovoltaic simulation software

References

• Alam, M., M. Saleem Gul, and T. Muneer. 2023. Performance analysis and comparison between bifacial and monofacial solar photovoltaic at various ground albedo conditions. Renewable Energy Focus 44 (March):295–316. doi:10.1016/j.ref.2023.01.005.
   Google Scholar
• Ana, P.M., J. C. Matos, and A. C. Oliveira. 2015. Comparison of software prediction and measured performance of a grid-connected photovoltaic power plant. Journal of Renewable and Sustainable Energy. 7 (6). Amer Inst Physics. Melville:063102. doi:10.1063/1.4935376.
   Web of Science ®Google Scholar
• Axaopoulos, P. J., E. D. Fylladitakis, and K. Gkarakis. 2014. Accuracy analysis of software for the estimation and planning of photovoltaic installations. International Journal of Energy & Environmental Engineering 5 (1):71. Heidelberg: Springer Heidelberg. doi:10.1007/s40095-014-0071-y.
   Google Scholar
• Beck, H. E., N. E. Zimmermann, T. R. McVicar, N. Vergopolan, A. Berg, and E. F. Wood. 2018. Present and future Köppen-Geiger Climate Classification Maps at 1-Km Resolution. Scientific Data 5(1): doi:10.1038/sdata.2018.214. Nature Publishing Group: 180214.
   Web of Science ®Google Scholar
• Benfares, M., S. Janati Edrissi, M. Benbrahim, I. Zorkani, A. Jorio, and A. Didi Seddik. 2022. Comparative analysis of the measured and simulated performances of a grid-connected photovoltaic power plant. Fluid Dynamics & Materials Processing 18 (6):1805–13. doi:10.32604/fdmp.2022.022095.
   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.” In 2008 33rd IEEE Photovoltaic Specialists Conference, 1–6. doi:10.1109/PVSC.2008.4922865.
   Google Scholar
• Chaibi, Y., M. Salhi, A. El-Jouni, and A. Essadki. 2018. A new method to extract the equivalent circuit parameters of a photovoltaic panel. Solar Energy 163 (March):376–86. doi:10.1016/j.solener.2018.02.017.
   Google Scholar
• Chandel, R., and S. Singh Chandel. 2022. Performance Analysis Outcome of a 19-MWp Commercial Solar Photovoltaic Plant with Fixed-Tilt, Adjustable-Tilt, and Solar Tracking Configurations. Progress in Photovoltaics. 30 (1). Wiley. Hoboken:27–48. doi:10.1002/pip.3458.
   Web of Science ®Google Scholar
• Chandrakant, D., D. Porwal, A. Awasthi, A. K. Shukla, K. Sudhakar, S. R. Murali Manohar, and A. Bhimte. 2018. Performance Simulation of Grid-Connected Rooftop Solar PV System for Small Households: A Case Study of Ujjain, India. Energy Reports 4 (November):546–53. doi:10.1016/j.egyr.2018.08.002.
   Google Scholar
• Chong, L. 2018. Comparative Performance Analysis of Grid-Connected PV Power Systems with Different PV Technologies in the Hot Summer and Cold Winter Zone. International Journal of Photoenergy 2018:e8307563. (October). Hindawi. doi:10.1155/2018/8307563.
   Web of Science ®Google Scholar
• Climate Data for Cities Worldwide - Climate-Data.Org. 2023a. Methodology: Cross-validation pocedure. Accessed March 7. https://en.climate-data.org/.
   Google Scholar
• David, G.P., I. Garcia-Ruiz, M.I.D.V. Montserrat Diez-Mediavilla, C. Alonso-Tristan, and C. Alonso-Tristán. 2021. Photovoltaic Prediction Software: Evaluation with Real Data from Northern Spain. Applied Sciences-Basel 11 (11).BaselMdpi:5025. doi:10.3390/app11115025.
   Web of Science ®Google Scholar
• de Freitas MoscardiniJúnior, E., and R. Rüther. 2020. The Influence of the Solar Radiation Database and the Photovoltaic Simulator on the Sizing and Economics of Photovoltaic-Diesel Generators. Energy Conversion & Management 210 (April):112737.
   Google Scholar
• de Souza Silva, J. Lucas, T. Silva Costa, K. B. de Melo, E. Yoiti Sakô, H. Soeiro Moreira, and M. Gradella Villalva. 2020. “A Comparative Performance of PV Power Simulation Software with an Installed PV Plant.” In 2020 IEEE International Conference on Industrial Technology (ICIT), 531–35. doi:10.1109/ICIT45562.2020.9067138.
   Google Scholar
• Driesse, A. and N. Patel. 2019. Cross-validation of PV System Simulation Software. 36th European Photovoltaic Solar Energy Conference and Exhibition, Marseille, France, 9-13 September 2019. WIP. 1–37.
   Google Scholar
• Firat, Y. 2019. Utility-Scale Solar Photovoltaic Hybrid System and Performance Analysis for Eco-Friendly Electric Vehicle Charging and Sustainable Home. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 41 (6). Taylor & Francis:734–45. doi:10.1080/15567036.2018.1520354
   Web of Science ®Google Scholar
• Google, E. 2022. University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture Map. Split: Google Earth 7 (3.6):9345. https://earth.google.com/web/.
   Google Scholar
• Guittet, D. L., and J. M. Freeman. 2018. Validation of Photovoltaic Modeling Tool HelioScope Against Measured Data NREL/TP-6A20-72155. National Renewable Energy Lab NREL. Golden: CO (United States). doi:10.2172/1481365.
   Google Scholar
• Gurupira, T., and A. J. Rix. 2017. “Pv simulation software comparisons: Pvsyst, nrel sam and pvlib.” In SAUPEC 2017 Proceedings, 724–29. Stellenbosch, South Africa.
   Google Scholar
• Harshavardhan, D., and J. M. Pearce. 2016. The Potential of Agrivoltaic Systems. Renewable & Sustainable Energy Reviews 54 (February):299–308. doi:10.1016/j.rser.2015.10.024.
   Google Scholar
• Huld, T., E. Paietta, P. Zangheri, and I. Pinedo Pascua. 2018. Assembling Typical Meteorological Year Data Sets for Building Energy Performance Using Reanalysis and Satellite-Based Data. Atmosphere 9 (2). Multidisciplinary Digital Publishing Institute:53. doi:10.3390/atmos9020053
   Web of Science ®Google Scholar
• Janine, F., J. Whitmore, N. Blair, and A. P. Dobos. 2014. “Validation of Multiple Tools for Flat Plate Photovoltaic Modeling against Measured Data.” In 2014 IEEE 40th Photovoltaic Specialist Conference (PVSC), 1932–37. doi:10.1109/PVSC.2014.6925304.
   Google Scholar
• Janine, F., J. Whitmore, L. Kaffine, N. Blair, and A. P. Dobos. 2013. System Advisor Model: Flat Plate Photovoltaic Performance Modeling Validation Report NREL/TP-6A20-60204. National Renewable Energy Lab. (NREL), Golden, CO (United States). doi:10.2172/1115788.
   Google Scholar
• Karatuğ, Ç., and Y. Durmuşoğlu. 2020. Design of a Solar Photovoltaic System for a Ro-Ro Ship and Estimation of Performance Analysis: A Case Study. Solar Energy 207 (September):1259–68. doi:10.1016/j.solener.2020.07.037.
   Google Scholar
• Kazem, H. A., M. T. Chaichan, A. H. A. Al-Waeli, and A. Gholami. 2022. A Systematic Review of Solar Photovoltaic Energy Systems Design Modelling, Algorithms, and Software. Energy Sources, Part A: Recovery, Utilization, & Environmental Effects 44 (3):6709–36. Taylor & Francis. doi:10.1080/15567036.2022.2100517.
   Web of Science ®Google Scholar
• Kjeldstad, T., V. S. Nysted, M. Kumar, S. Oliveira-Pinto, G. Otnes, D. Lindholm, and J. Selj. 2022. The Performance and Amphibious Operation Potential of a New Floating Photovoltaic Technology. Solar Energy 239 (June):242–51. doi:10.1016/j.solener.2022.04.065.
   Google Scholar
• Kumar, V., D. Jain, L. Deville, K. A. Ritter, J. Richard Raush, F. Ferdowsi, R. Gottumukkala, and T. Lynn Chambers. 2022. Performance Evaluation of 1.1 MW Grid-Connected Solar Photovoltaic Power Plant in Louisiana. Energies 15 (9). Multidisciplinary Digital Publishing Institute:3420. doi:10.3390/en15093420
   Web of Science ®Google Scholar
• Malvoni, M., A. Leggieri, G. Maggiotto, P. M. Congedo, and M. G. De Giorgi. 2017. Long Term Performance, Losses and Efficiency Analysis of a 960kWP Photovoltaic System in the Mediterranean Climate. Energy Conversion & Management 145 (August):169–81. doi:10.1016/j.enconman.2017.04.075.
   Google Scholar
• Milosavljevic, D. D., T. S. Kevkic, and S. J. Jovanovic. 2022. Review and Validation of Photovoltaic Solar Simulation Tools/Software Based on Case Study. Open Physics. 20 (1). De Gruyter Poland Sp Z O O Warsaw:431–51. doi:10.1515/phys-2022-0042.
   Web of Science ®Google Scholar
• Mondol, J. D., Y. G. Yohanis, and B. Norton. 2007. Comparison of Measured and Predicted Long Term Performance of Grid a Connected Photovoltaic System. Energy Conversion & Management 48 (4):1065–80. doi:10.1016/j.enconman.2006.10.021.
   Web of Science ®Google Scholar
• Monteiro, G. P., A. I. Palmero-Marrero, C. Moreira, and A. C. Oliveira. 2018. Evaluation of the Performance of a Photovoltaic Power Plant Installed in a Building in the North of Portugal. Energy ProcediaPrague, Czech RepublicEnergy ProcediaPrague, Czech Republic 153(October):42–47. 23-27 July 2018. doi:10.1016/j.egypro.2018.10.033.
   Google Scholar
• Nussbaumer, H. et al. 2020. Accuracy of Simulated Data for Bifacial Systems with Varying Tilt Angles and Share of Diffuse Radiation. Solar Energy 197 (February):6–21. doi:10.1016/j.solener.2019.12.071.
   Google Scholar
• Okello, D., E. E. van Dyk, and F. J. Vorster. 2015. Analysis of Measured and Simulated Performance Data of a 3.2kWp Grid-Connected PV System in Port Elizabeth, South Africa. Energy Conversion & Management 100 (August):10–15. doi:10.1016/j.enconman.2015.04.064.
   Google Scholar
• Oliveira-Pinto, S., and J. Stokkermans. 2020. Assessment of the Potential of Different Floating Solar Technologies – Overview and Analysis of Different Case Studies. Energy Conversion & Management 211 (May):112747. doi:10.1016/j.enconman.2020.112747.
   Google Scholar
• “PV*SOL.” 2023. Valentin Software GmbH. Accessed February 1. https://valentin-software.com/en/products/pvsol-premium/.
   Google Scholar
• “Pvsyst.” 2023b. PVsyst SA. Accessed February 1. https://www.pvsyst.com/.
   Google Scholar
• “Pvwatts Calculator.” 2023c. Accessed April 27. https://pvwatts.nrel.gov/.
   Google Scholar
• Reinders, A., D. Moser, W. Van Sark, G. Oreski, N. Pearsall, A. Scognamiglio, and J. Leloux. 2018. “Introducing ‘PEARL-PV’: Performance and Reliability of Photovoltaic Systems: Evaluations of Large-Scale Monitoring Data.” In 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC), 0762–66. doi:10.1109/PVSC.2018.8547966.
   Google Scholar
• Robledo, J., N. Riedel-Lyngskær, T. Betti, J. Serra, and N. Pearsall. 2019. Inventory of PV Performance Modeling Software. 12th PV Performance Modeling and Monitoring Workshop, Albuquerque, New Mexico, USA, 14-16 May 2019 Sandia National Laboratories .
   Google Scholar
• Sauer, K. J., T. Roessler, and C. W. Hansen. 2015. Modeling the Irradiance and Temperature Dependence of Photovoltaic Modules in PVsyst. IEEE Journal of Photovoltaics 5 (1):152–58. doi:10.1109/JPHOTOV.2014.2364133.
   Web of Science ®Google Scholar
• Stein, J., and G. Klise. 2009. Models Used to Assess the Performance of Photovoltaic Systems, SAND2009–8258. Albuquerque. New Mexico, USA: Sandia National Laboratories.
   Google Scholar
• System Advisor Model - SAM. 2023. Golden, CO: National Renewable Energy Laboratory. Accessed February 1. https://sam.nrel.gov/.
   Google Scholar
• Tina, G. M., F. Bontempo Scavo, L. Merlo, and F. Bizzarri. 2021. Comparative Analysis of Monofacial and Bifacial Photovoltaic Modules for Floating Power Plants. Applied Energy 281 (January):116084. doi:10.1016/j.apenergy.2020.116084.
   Google Scholar
• Viana, Z. C., J. dos Santos Costa, J. Velasco Silva, and R. Martins Fernandes. 2020. Accuracy Analysis of Pvsyst Software for Estimating the Generation of a Photovoltaic System at the Polo de Inovação Campos Dos Goytacazes. In 2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA), 1–6. doi:10.1109/TDLA47668.2020.9326203.
   Google Scholar
• Vodermayer, C., G. Wotruba, M. Zehner, J. Schumacher, W. Weber, B. Schiebelsberger, and G. Becker. 2008. Energy Yields of PV Systems - Comparison of Simulation and Reality. 23rd European Photovoltaic Solar Energy Conference and Exhibition, 1-5 September 2008, Valencia, Spain, November. 3184–86.
   Google Scholar
• Wijeratne, W. M. P. U., R. J. Yang, E. Too, and R. Wakefield. 2019. Design and development of distributed solar PV systems: do the current tools work? Sustainable Cities and Society 45 (February):553–78. doi:10.1016/j.scs.2018.11.035.
   Web of Science ®Google Scholar