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.
Shakouri, M., Golzari, S. & Zamen, M. (2016). Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm. Journal of Solar Energy Research, 1(1), 45–51.
MLA
Shakouri, M., Golzari, S., & Zamen, M. "Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm", Journal of Solar Energy Research, 1, 1, 2016, 45–51.
HARVARD
Shakouri, M., Golzari, S., & Zamen, M. (2016). 'Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm', Journal of Solar Energy Research, 1(1), pp. 45–51.
CHICAGO
Shakouri, M., Golzari, S. & Zamen, M., "Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm." Journal of Solar Energy Research, 1 1 (2016): 45–51,
VANCOUVER
Shakouri M., Golzari S., Zamen M. Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm. JSER. 2016;1(1):45–51.
