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Experimental Application of Methods to Compute Solar Irradiance and Cell Temperature of Photovoltaic Modules

机译:光伏组件太阳辐照度和电池温度计算方法的实验应用

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摘要

Solar irradiance and cell temperature are the most significant aspects when assessing the production of a photovoltaic system. To avoid the need of specific sensors for quantifying such parameters, recent literature presents methods to estimate them through electrical measurements, using the photovoltaic module itself as a sensor. This work presents an application of such methods to data recorded using a research platform at University of Corsica, in France. The methods and the platform are briefly presented and the results are shown and discussed in terms of normalized mean absolute errors (nMAE) and root mean square errors (nRMSE) for various irradiance and cell temperature levels. The nMAE (and nRMSE) for solar irradiance are respectively between 3.5% and 3.9% (4.2% and 4.7%). Such errors on computed irradiance are in the same order of magnitude as those found in the literature, with a simple implementation. For cell temperatures estimation, the nMAE and nRMSE were found to be in the range 3.4%–8.2% and 4.3%–10.7%. These results show that using such methods could provide an estimation for the values of irradiance and cell temperature, even if the modules are not new and are not regularly cleaned, but of course not partially shaded.
机译:在评估光伏系统的生产时,太阳辐照度和电池温度是最重要的方面。为了避免需要特定的传感器来量化这些参数,最近的文献提出了使用光伏模块本身作为传感器通过电测量来估计它们的方法。这项工作介绍了这种方法在法国科西嘉大学使用研究平台记录的数据中的应用。简要介绍了方法和平台,并根据各种辐照度和电池温度水平的归一化平均绝对误差(nMAE)和均方根误差(nRMSE)来显示和讨论结果。太阳辐照度的nMAE(和nRMSE)分别在3.5%和3.9%之间(4.2%和4.7%)。计算辐照度的此类误差与文献中发现的误差数量级相同,且实现简单。对于电池温度估计,发现nMAE和nRMSE介于3.4%–8.2%和4.3%–10.7%之间。这些结果表明,即使模块不是新的且未定期清洁,但当然不会部分遮挡,使用这种方法也可以估算辐照度和电池温度。

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