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Experimental Validation of Non-Linear Empirical Model to Simulate the Photovoltaic Production Under Semi-Arid Climate. Case Study of Benguerir, Morocco

机译:非线性实证模型模拟半干旱气候下光伏产量的实验验证。 Benguerir,摩洛哥的案例研究

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Nowadays, the investments in large-scale photovoltaic power projects is increasing around the world and more especially in the MENA region. To encourage investors to install more PV capacities, it's important to provide guaranties on the benefits in term of production especially in harsh and semi-arid climates. For this reason, modeling of photovoltaic performance in such conditions is required to predict accurately the plants energy yield. The aim of this study is to adapt a non-linear empirical model to simulate the photovoltaic production under semi-arid climate. The new developed model represents the output power of the PV module as a function of in-plane irradiance and ambient temperature, and a number of semi-empirical coefficients determined by fitting the outdoor measured data. The model has been validated using one year of high accurate measured data at ground level of a polycrystalline module at Green Energy Park research facility. Results of this study show that the proposed model is a good approach to predict the output photovoltaic power under semi-arid climate with an hourly nRMSE of 3.1% in comparison to ground measurements.
机译:如今,大规模光伏电力项目的投资在世界各地越来越多,更尤其是梅纳地区。为了鼓励投资者安装更多的光伏能力,重要的是提供对生产期限的益处的保证,特别是在苛刻和半干旱气候中。因此,需要在这种条件下建模的光伏性能需要准确地预测植物能量产量。本研究的目的是调整非线性实证模型,以模拟半干旱气候下的光伏产量。新的开发模型表示PV模块作为面内辐照度和环境温度的函数的输出功率,以及通过拟合室外测量数据来确定的多个半实验系数。该模型已经在绿色能源园研究设施的多晶模块的地面上的一年使用一年的高准确测量数据进行了验证。该研究的结果表明,该模型是预测半干旱气候下的输出光伏电力的良好方法,与地面测量相比,每小时NRMSE为3.1%。

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