Evaluation of PV performance prediction model in tropical environment in Senegal

Issa Faye, Ababacar Ndiaye, D. Kobor, M. Thiame
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Abstract

Many authors in the literature have worked on models for producing PV module performance, but the question of a climate-specific model is problematic. Some studies have shown more appropriate models for any PV module technology, while others have highlighted models that are more appropriate for a given climate. The aim of this work is to evaluate our model which is based on the I-V characteristic and their accuracy was assessed versus one-year of ground measurement from a system of PV module at different time resolutions. To predict the performance of PV modules in crystalline silicon in a sahelian climate in Senegal, the results obtained experimentally and those of the model were compared. The monthly nRMSE is 17.33% during the rainy season and 17.46% in dry season. There was a good correlation of the model, with a coefficient of 0.88 in January and 0.94 in September. Key words: PV module, short-circuit current, open circuit-voltage, maximum power output, I-V curve.
塞内加尔热带环境PV性能预测模型评价
文献中的许多作者都研究过生产光伏组件性能的模型,但是气候特定模型的问题是有问题的。一些研究显示了更适合任何光伏组件技术的模型,而另一些研究则强调了更适合特定气候的模型。这项工作的目的是评估我们的模型,该模型基于I-V特性,并通过不同时间分辨率的光伏组件系统进行为期一年的地面测量,评估其准确性。为了预测塞内加尔萨赫勒气候条件下晶体硅光伏组件的性能,将实验结果与模型结果进行了比较。月nRMSE在雨季为17.33%,在旱季为17.46%。模型相关性较好,1月系数为0.88,9月系数为0.94。关键词:光伏组件,短路电流,开路电压,最大功率输出,I-V曲线
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来源期刊
International Journal of Physical Sciences
International Journal of Physical Sciences 综合性期刊-综合性期刊
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4
审稿时长
24 months
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