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Enhanced models for the evaluation of electrical efficiency of PV/ T modules

机译:增强型号用于评估PV / T模块的电效率

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摘要

Recently increasing attention has been paid on photovoltaic/thermal (PV/T) solar systems as these systems allow to generate heat and electricity simultaneously. Thermal and electrical performance of PV/T modules are coupled, so it is crucial to monitor both efficiencies to decide the optimal operating point. In this context, this paper aims to investigate numerically and experimentally the electrical energy performance of PV/T modules suitable to be used for online monitoring and control purposes. This study proposes a novel methodology for the evaluation of the electrical efficiency of PV/T modules as a function of the temperature of the cooling fluid, the solar radiation and the solar incidence angle. The proposed methodology is based on the calculation of the cell temperature of the PV/T module, which is in turn a function of the temperature of the cooling fluid and the specific features of the PV/T module. Models proposed in the literature for the evaluation of the electrical efficiency for PV modules have been redrafted, adapting them to PV/T modules. The proposed methodology has been validated using the experimental data carried out on an unglazed pilot PV/T plant located in Catania (Italy). The comparison between the calculated data by the developed redrafted models and observed data gives rises to a normalized Root Mean Square Error (nRMSE) of 9.73%. It is worth noticing that the accuracy of the models increases taking into consideration of the dependence of the electrical efficiency from the solar incidence angle (nRMSE equal to 8.99%).
机译:最近,在光伏/热(PV / T)太阳系上已经支付了越来越长的关注,因为这些系统允许同时产生热量和电力。 PV / T模块的热电和电性能耦合,因此监测效率至关决定最佳操作点是至关重要的。在这种情况下,本文旨在进行数字和实验研究PV / T模块的电能性能,适用于用于在线监测和控制目的。本研究提出了一种新的方法,用于评估PV / T模块的电效率作为冷却流体温度,太阳辐射和太阳能发生角度的函数。所提出的方法基于计算PV / T模块的电池温度的计算,其又反过来的冷却流体温度和PV / T模块的特定特征。用于评估PV模块的电效率的文献中提出的模型已被重新起草,将它们适应PV / T模块。已经使用位于卡塔尼亚(意大利)的未氮化试验PV / T植物上进行的实验数据验证了所提出的方法。由开发的REDAFTED模型和观察到的数据之间计算数据之间的比较使归一化的根均线误差(NRMSE)为9.73%。值得注意的是,模型的准确性增加,考虑到电效率的依赖性从太阳发生率角度(NRMSE等于8.99%)。

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