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Analytical Modelling of High Concentrator Photovoltaic Modules Based on Atmospheric Parameters

机译:基于大气参数的高聚光光伏组件的解析模型

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The goal of this paper is to introduce a model to predict the maximum power of a high concentrator photovoltaic module. The model is based on simple mathematical expressions and atmospheric parameters. The maximum power of a HCPV module is estimated as a function of direct normal irradiance, cell temperature, and two spectral corrections based on air mass and aerosol optical depth. In order to check the quality of the model, a HCPV module was measured during one year at a wide range of operating conditions. The new proposed model shows an adequate match between actual and estimated data with a root mean square error (RMSE) of 2.67%, a mean absolute error (MAE) of 4.23 W, a mean bias error (MBE) of around 0%, and a determination coefficient (R2) of 0.99.
机译:本文的目的是介绍一个模型来预测高聚光光伏模块的最大功率。该模型基于简单的数学表达式和大气参数。 HCPV模块的最大功率估计为直接正常辐照度,电池温度以及基于空气质量和气溶胶光学深度的两次光谱校正的函数。为了检查模型的质量,在一年的各种工作条件下对HCPV模块进行了测量。新提出的模型显示出实际数据和估计数据之间的充分匹配,均方根误差(RMSE)为2.67%,平均绝对误差(MAE)为4.23 W,平均偏差误差(MBE)约为0%,并且确定系数(R2)为0.99。

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