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Optimization and performance analysis of a solar concentrated photovoltaic-thermoelectric (CPV-TE) hybrid system

机译:太阳能聚光光伏热电(CPV-TE)混合系统的优化和性能分析

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This work presents, for the first time, a statistical model to forecast the electrical efficiency of concentrated photovoltaic-thermoelectric system (CPV-TE). The main objective of this work is to analyze the impact of the input factors (product of solar radiation and optical concentration, external load resistance, leg height of TE and ambient temperature) most affecting the electrical efficiency of CPV-TE system. An innovative and integrated approach based on a multi-physics numerical model coupling radiative, conductive and convective heat transfers Seebeck and photoelectrical conversion physical phenomena inside the CPV-TE collector and a response surface methodology (RSM) model was developed. COMSOL 5.4 Multiphysics software is used to perform the three-dimensional num erical study based on finite element method. Furthermore, results from the numerical model is then analysed using the statistical tool, response surface methodology. The analysis of variance (ANOVA) is conducted to develop the quadratic regression model and examine the statistical significance of each input factor. The results reveal that the obtained determination coefficient (R-2) for electrical efficiency is 0.9945. An excellent fitting is achieved between forecast values obtained from the statistical model and the numerical data provided by the three-dimensional numerical model. The influence of the parameters in order of importance on the electrical efficiency are respectively: product of solar radiation and optical concentration, the height legs of TE, external electrical resistance load, and ambient temperature. A simple polynomial statistical model is created in this work to predict and maximize the electrical efficiency from the solar CPV-TE system based on the four investigated input parameters. The maximum electrical efficiency of the proposed CPVTE (17.448%) is obtained for optimum operating parameters at 229.698 W/m(2) value of product of solar radiation and optical concentration, 303.353 K value of ambient temperature, 2.681 Omega value of resistance electrical load and at 3.083 mm value of height of TE module. (c) 2020 Elsevier Ltd. All rights reserved.
机译:这项工作首次提出了一种统计模型来预测集中式光伏热电系统(CPV-TE)的电效率。这项工作的主要目的是分析最影响CPV-TE系统电效率的输入因素(太阳辐射与光集中的乘积,外部负载电阻,TE的支脚高度和环境温度)的影响。在多物理场数值模型的基础上,开发了一种创新的集成方法,该模型将CPV-TE收集器内部的辐射,传导和对流传热塞贝克和光电转换物理现象耦合在一起,并建立了响应面方法(RSM)模型。使用COMSOL 5.4 Multiphysics软件基于有限元方法进行三维数值研究。此外,然后使用统计工具响应面方法对数值模型的结果进行分析。进行方差分析(ANOVA)以开发二次回归模型并检查每个输入因子的统计显着性。结果表明,所获得的电效率确定系数(R-2)为0.9945。从统计模型获得的预测值与三维数值模型提供的数值数据之间实现了极好的拟合。参数按重要性顺序对电效率的影响分别是:太阳辐射和光集中的乘积,TE的高度腿,外部电阻负载和环境温度。在这项工作中创建了一个简单的多项式统计模型,以基于四个调查的输入参数来预测和最大化太阳能CPV-TE系统的电效率。对于最佳工作参数,在229.698 W / m(2)的太阳辐射和光学浓度的乘积值,环境温度的303.353 K值,电阻电负载的2.681Ω值的情况下,可获得最佳CPVTE的最大电效率(17.448%) TE模块的高度值为3.083 mm。 (c)2020 Elsevier Ltd.保留所有权利。

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