Abstract
Spectral distribution changes in atmosphere have a significant impact on performance behaviour of photovoltaic system. Various atmospheric constituents absorb and reflect irradiance at different wavelengths, which results in changes in atmospheric spectrum. The performance of photovoltaic modules is influenced by spectra distribution of the respective site even if the irradiance level and the operating temperature remain unchanged. In this study, the effect of Relative Humidity (RH) and Ambient temperature is reported as a vital function for spectra distribution. Also, the mutual effect of POA (Plan of array) and Precipitable water content (Pwat) on PR (Performance ratio) gives a strong comprehensive correlation for predictive module performance analysis for the respective location.Spectral distribution changes in atmosphere have a significant impact on performance behaviour of photovoltaic system. Various atmospheric constituents absorb and reflect irradiance at different wavelengths, which results in changes in atmospheric spectrum. The performance of photovoltaic modules is influenced by spectra distribution of the respective site even if the irradiance level and the operating temperature remain unchanged. In this study, the effect of Relative Humidity (RH) and Ambient temperature is reported as a vital function for spectra distribution. Also, the mutual effect of POA (Plan of array) and Precipitable water content (Pwat) on PR (Performance ratio) gives a strong comprehensive correlation for predictive module performance analysis for the respective location.
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