The development of a transient temperature model of photovoltaic (PV) modules is presented in this paper. Currently, there are a few steady-state temperature models targeted at assessing and predicting the PV module temperature. One of the most commonly used models is the Faiman thermal model. This model is derived from the modified Hottel-Whillier-Bliss (HWB) model for flat-plate solar-thermal collector under steady-state conditions and assumes low or no thermal mass in the modules (i.e., short time constants such that transients are neglected, and steady-state conditions are assumed). The transient extension of the Faiman model we present in this paper introduces a thermal mass, which provides two advantages. First of all, it improves the temperature prediction under dynamic conditions. Second, our transient extension to the Faiman model allows the accurate parametrization of the Faiman model under dynamic conditions. We present our model and parametrization method. Furthermore, we applied the model and parametrization method to a 1-year data set with 5-min resolved outdoor module measurements. We demonstrate a significant improvement in temperature prediction for the transient model, especially under dynamic conditions.

中文翻译：

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光伏组件瞬态温度模型的开发和改进：跟踪数据的概念

本文介绍了光伏 (PV) 模块瞬态温度模型的开发。目前，有一些稳态温度模型旨在评估和预测光伏组件温度。最常用的模型之一是费曼热模型。该模型源自稳态条件下平板太阳能集热器的修改后的 Hottel-Whillier-Bliss (HWB) 模型，并假设模块中的热质量较低或没有热质量（即，短时间常数，从而忽略瞬态） ，并假设稳态条件）。我们在本文中介绍的费曼模型的瞬态扩展引入了热质量，这提供了两个优点。首先，它改进了动态条件下的温度预测。其次，我们对 Faiman 模型的瞬态扩展允许在动态条件下对 Faiman 模型进行精确参数化。我们提出我们的模型和参数化方法。此外，我们将模型和参数化方法应用于 1 年数据集，并进行 5 分钟解析的室外模块测量。我们展示了瞬态模型温度预测的显着改进，特别是在动态条件下。