Estimating Solar Irradiance on Tilted Surface with Arbitrary Orientations and Tilt Angles
Estimating Solar Irradiance on Tilted Surface with Arbitrary Orientations and Tilt Angles
复制标题
估算任意方向和倾斜角度的倾斜表面上的太阳辐照度
作者：
Hsu;Chih;Kuo;C. Chan;Mei;Chih
光电模块通常以倾斜角度安装，以提高性能并避免水或灰尘积聚。然而，在倾斜表面上测量的辐照度数据很少可用，因为安装具有各种倾斜角度的日射强度计会导致高成本。由于安装方向和倾斜角度在不同地点可能不同，因此估算任意方向和倾斜角度的倾斜辐照度是重要的。本文的目标是提出一个统一的传输模型，以获得任意倾斜角度和方向的倾斜太阳辐照度。利用人工神经网络（ANN）建立传输模型，估计水平辐照度和倾斜辐照度之间的差异。实验结果表明，与直接估计倾斜辐照度的人工神经网络相比，所提出的差分输出的人工神经网络可以大大提高估计精度。此外，训练后的模型可以成功地估计倾斜的辐照度与倾斜角度和方向不包括在训练数据。
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.