Performance Evaluation of Solar Photovoltaic System Under Variable Environmental Conditions: A Two-Factor Parametric Simulation
Keywords:
photovoltaics, solar irradiance, cell temperature, parametric modeling, interaction effect, sensitivity analysisAbstract
Solar photovoltaic (PV) output is shaped by irradiance and module operating temperature, yet simplified studies frequently isolate these variables. This study presents a transparent, two-factor parametric simulation of their combined influence on the maximum output of a hypothetical 200-W crystalline-silicon PV module. A 5 × 5 factorial matrix spans irradiance levels of 200–1,000 W/m² and cell temperatures of 25–65 °C. A normalized irradiance–temperature model with a −0.40%/°C temperature coefficient is used, followed by coefficient-sensitivity and interaction diagnostics. Modeled output ranges from 33.6 W to 200.0 W. At 1,000 W/m², increasing temperature by 40 °C reduces power by 32 W (16%); at 200 W/m², the same temperature shift reduces power by 6.4 W. The mixed effect on absolute power is nonzero, even though temperature-induced percentage losses are identical across irradiance levels because of the separable assumed model. Results are model-internal deductions rather than field measurements; no performance validation or location-specific yield is claimed. The study supplies a compact reproducible scenario framework and clarifies its limits for subsequent coupled thermal–electrical analysis.
References
[1] De Soto, W., Klein, S. A., and Beckman, W. A., “Improvement and validation of a model for photovoltaic array performance,” Solar Energy, vol. 80, no. 1, pp. 78–88, 2006. doi: 10.1016/j.solener.2005.06.010.
[2] Skoplaki, E., and Palyvos, J. A., “On the temperature dependence of photovoltaic module electrical performance: A review of efficiency/power correlations,” Solar Energy, vol. 83, no. 5, pp. 614–624, 2009. doi: 10.1016/j.solener.2008.10.008.
[3] Skoplaki, E., and Palyvos, J. A., “Operating temperature of photovoltaic modules: A survey of pertinent correlations,” Renewable Energy, vol. 34, no. 1, pp. 23–29, 2009. doi: 10.1016/j.renene.2008.04.009.
[4] Faiman, D., “Assessing the outdoor operating temperature of photovoltaic modules,” Progress in Photovoltaics, vol. 16, no. 4, pp. 307–315, 2008. doi: 10.1002/pip.813.
[5] Huld, T., Gottschalg, R., Beyer, H. G., and Topič, M., “Mapping the performance of PV modules, effects of module type and data averaging,” Solar Energy, vol. 84, no. 2, pp. 324–338, 2010. doi: 10.1016/j.solener.2009.12.002.
[6] Mattei, M., Notton, G., Cristofari, C., Muselli, M., and Poggi, P., “Calculation of the polycrystalline PV module temperature using a simple method of energy balance,” Renewable Energy, vol. 31, no. 4, pp. 553–567, 2006. doi: 10.1016/j.renene.2005.03.010.
[7] Dubey, S., Sarvaiya, J. N., and Seshadri, B., “Temperature dependent photovoltaic (PV) efficiency and its effect on PV production in the world—A review,” Energy Procedia, vol. 33, pp. 311–321, 2013. doi: 10.1016/j.egypro.2013.05.072.
[8] Notton, G., Cristofari, C., Mattei, M., and Poggi, P., “Modelling of a double-glass photovoltaic module using finite differences,” Applied Thermal Engineering, vol. 25, nos. 17–18, pp. 2854–2877, 2005. doi: 10.1016/j.applthermaleng.2005.02.008.
[9] Evans, D. L., “Simplified method for predicting photovoltaic array output,” Solar Energy, vol. 27, no. 6, pp. 555–560, 1981. doi: 10.1016/0038-092X(81)90051-7.
[10] Siegel, M. D., Klein, S. A., and Beckman, W. A., “A simplified method for estimating the monthly-average performance of photovoltaic systems,” Solar Energy, vol. 26, no. 5, pp. 413–418, 1981. doi: 10.1016/0038-092X(81)90220-6.
[11] Kayabaşı, R., “Integrated assessment of irradiance and temperature effects on the electrical performance of contemporary photovoltaic technologies,” International Journal of Energy Studies, vol. 11, no. 3, pp. 2439–2459, 2026. doi: 10.58559/ijes.1997674.
[12] King, D. L., Boyson, W. E., and Kratochvil, J. A., “Photovoltaic Array Performance Model,” Sandia National Laboratories, SAND2004-3535, 2004. doi: 10.2172/919131.
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