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Mathematical models of photovoltaic modules degradation in desert environment

机译:沙漠环境中光伏组件退化的数学模型

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The lifetime of a photovoltaic module operating in natural environment may never be known. It is useful to look for mathematical laws that are reliable in predicting the approximate warranty and performance times of these instruments before they fail. Literature is rich of many laws (parametric, semi-parametric or non-parametric) that have a high efficiency in all scientific branches. Parametric laws are used more than others in the branches of electronics. In this paper, we examined the validity of some reliability laws (15 models) to simulate the degradation of the maximum electrical power of crystalline silicon photovoltaic modules and to estimate their lifetimes when exposed to Saharan environments (especially the Sahara of Adrar in the South West of Algeria and the desert of California in the United States of America) where the climate is generally warm and dry during half a year. A genetic algorithm (a method of artificial intelligence) has been used here to calculate the parameters of each tested model. The modified Weibul model is the most adequate one compared to the other parametric models tested. In this study, the average lifespan of photovoltaic modules in the desert of California has been estimated to approximately 30 years (29 years for Adrar) for which the electrical energy supplied reaches 46% of its initial value. The prediction results must be taken into consideration for any construction study of a solar station in desert environments.
机译:在自然环境中运行的光伏模块的寿命可能永远未知。寻找可靠的数学定律对于预测这些仪器在出现故障之前的大约保修和性能时间很有用。文献中有许多法则(参数,半参数或非参数),在所有科学分支中都有很高的效率。在电子领域,参数定律比其他定律得到更多使用。在本文中,我们检查了一些可靠性定律(15个模型)的有效性,以模拟晶体硅光伏模块最大电功率的衰减并评估其在撒哈拉环境(尤其是西南部阿德拉尔的撒哈拉沙漠)中的使用寿命(阿尔及利亚和美国加利福尼亚州的沙漠),半年内气候普遍温暖干燥。此处已使用遗传算法(一种人工智能方法)来计算每个测试模型的参数。与测试的其他参数模型相比,修改后的Weibul模型是最合适的模型。在这项研究中,在加利福尼亚沙漠中,光伏模块的平均寿命估计约为30年(对于Adrar,为29年),其提供的电能达到其初始值的46%。在沙漠环境中对太阳能站进行任何施工研究时,都必须考虑到预测结果。

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