Title of article
Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm
Author/Authors
Shakouri ، M. - University of Tehran , Golzari ، S. Iranian Institute of Research and Development in Chemical Industries (ACECR) , Zamen ، M. - Shahrood University of Technology
Pages
9
From page
45
To page
53
Abstract
In this paper, a water cooled thermal photovoltaic (PV/T) system has been optimized by using genetics algorithm in MATLAB software. Electrical and thermal efficiencies have been defined as objective functions based on energy and exergy considerations. As a result of optimization, achieved value for each of independent variables has been optimized. Similarly, a Pareto diagram for optimum range of decision variables is illustrated for multi objective function.
Keywords
water cooled thermal photovoltaic , plate and spiral tube structure , Optimization , genetics algorithm
Journal title
Journal of Solar Energy Research
Serial Year
2016
Journal title
Journal of Solar Energy Research
Record number
2453993
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