Estimating solar irradiance on tilted surface with arbitrary orientations and tilt angles

Hsu Yung Cheng, Chih Chang Yu, Kuo Chang Hsu, Chi Chang Chan, Mei Hui Tseng, Chih Lung Lin

研究成果: 雜誌貢獻期刊論文同行評審

9 引文 斯高帕斯(Scopus)


Photovoltaics modules are usually installed with a tilt angle to improve performance and to avoid water or dust accumulation. However, measured irradiance data on inclined surfaces are rarely available, since installing pyranometers with various tilt angles induces high costs. Estimating inclined irradiance of arbitrary orientations and tilt angles is important because the installation orientations and tilt angles might be different at different sites. The goal of this work is to propose a unified transfer model to obtain inclined solar irradiance of arbitrary tilt angles and orientations. Artificial neural networks (ANN) were utilized to construct the transfer model to estimate the differences between the horizontal irradiance and the inclined irradiance. Compared to ANNs that estimate the inclined irradiance directly, the experimental results have shown that the proposed ANNs with differential outputs can substantially improve the estimation accuracy. Moreover, the trained model can successfully estimate inclined irradiance with tilt angles and orientations not included in the training data.

出版狀態已出版 - 13 4月 2019


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