Modeling and optimization of an air-cooled photovoltaic thermal (PV/T) system using genetic algorithms

被引：24

作者：

Kasaeian A.B. ^{[1
]}

Akhlaghi M.M. ^{[1
]}

Golzari S. ^{[1
]}

Dehghani M. ^{[2
]}

机构：

[1] Faculty of New Science and Technologies, University of Tehran, Tehran

[2] Research Institute of Petroleum Industry, Tehran

来源：

Applied Solar Energy | 2013年 / 49卷 / 4期

关键词：

Solar Cell; Mass Flow Rate; Solar Collector; Silicon Solar Cell; Apply Solar Energy;

D O I：

10.3103/S0003701X1304004X

中图分类号：

学科分类号：

摘要：

The aim of this paper is to model and optimize an air PV/T system. There are some parameters that affect on the efficiency of a PV/T solar system like thickness of the glass and Tedlar, temperature of the inlet flow, solar cell temperature and etc. All equations for PV cell and thermal collector have been derived. By genetic algorithms using, thermal efficiency and electrical efficiency of the system may be optimized. All the parameters that are used in genetic algorithms, are the parameters that could be changed, and the non-changeable parameters, like solar radiation cannot be used in the algorithm. By compare to other methods, we found that the GaAs are very efficient technique to estimate the design parameters of PV/T solar systems. © 2013 Allerton Press, Inc.

引用

页码：215 / 224

页数：9

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