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Shakouri, M., Golzari, S., Zamen, M.. (1395). Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm. , 1(1), 45-51.
M. Shakouri; S. Golzari; M. Zamen. "Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm". , 1, 1, 1395, 45-51.
Shakouri, M., Golzari, S., Zamen, M.. (1395). 'Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm', , 1(1), pp. 45-51.
Shakouri, M., Golzari, S., Zamen, M.. Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm. , 1395; 1(1): 45-51.

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

Journal of Solar Energy Research
مقاله 4، دوره 1، شماره 1، مهر 2016، صفحه 45-51    اصل مقاله (693.99 K)
نوع مقاله: Original Article
نویسندگان
M. Shakouri* 1؛ S. Golzari2؛ M. Zamen3
1Graduate Faculty of Environment, University of Tehran, Tehran, Iran.
2Iranian Institute of Research and Development in Chemical Industries (ACECR)
3Department of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran
چکیده
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.
کلیدواژه‌ها
water cooled thermal photovoltaic؛ plate and spiral tube structure؛ Optimization؛ genetics algorithm
آمار
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