Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm
Document Type : Original Article
Authors
1 Graduate Faculty of Environment, University of Tehran, Tehran, Iran.
2 Iranian Institute of Research and Development in Chemical Industries (ACECR)
3 Department of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran
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
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