شماره ركورد كنفرانس :
4017
عنوان مقاله :
Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm
پديدآورندگان :
Shakouri Mahdi mahdi.shakouri@ut.ac.ir University of Tehran , Golzari Soudabeh me.s.golzari@gmail.com Iranian Institute of Research and Development in Chemical Industries , Zamen Mohammad zamen@shahroodut.ac.ir Shahrood University of Technology
كليدواژه :
water cooled thermal photovoltaic , plate and spiral tube structure , optimization , genetics algorithm
عنوان كنفرانس :
سومين كنفرانس بين المللي انرژي خورشيدي
چكيده فارسي :
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 independentvariableshas been optimized. Similarly, a Pareto diagram for optimum range of decision variables isillustrated for multi objective function.
