Analysis of the Effect of Environmental Parameters on Photovoltaic Output Performance Using Multivariate Regression
DOI:
https://doi.org/10.32492/jeetech.v7i2.7206Keywords:
photovoltaic , MANOVA, monocrystalline , polycrystalline , tropical climateAbstract
The utilization of solar energy through photovoltaic (PV) technology has continued to expand as a sustainable solution for electricity generation. However, photovoltaic performance is influenced by environmental factors, including humidity, ambient temperature, solar irradiance, and wind speed. This study aims to analyze the effects of these factors on the current, voltage, and power output of monocrystalline and polycrystalline photovoltaic panels using the Multivariate Regression method. Before model development, classical assumption tests, including normality, linearity, multicollinearity, heteroscedasticity, and autocorrelation, were conducted. Partial effects were evaluated using the t-test, while simultaneous effects were assessed using Pillai's Trace statistic. The results indicate that, for the monocrystalline panel, solar irradiance significantly affects current, voltage, and power output. For the polycrystalline panel, solar irradiance significantly affects current and power, humidity affects current and power, and wind speed affects current and voltage. Ambient temperature has no significant partial effect on either panel type. Simultaneous analysis identifies solar irradiance as the most dominant factor influencing the performance of both photovoltaic panels.
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