Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm

Document Type : Original Article


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


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.