@article { author = {Shakouri, M. and Golzari, S. and Zamen, M.}, title = {Energy and exergy optimization of water cooled thermal photovoltaic (PV/T) system using genetics algorithm}, journal = {Journal of Solar Energy Research}, volume = {1}, number = {1}, pages = {45-51}, year = {2016}, publisher = {University of Tehran}, issn = {2588-3097}, eissn = {2588-3100}, doi = {}, 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 = {water cooled thermal photovoltaic,plate and spiral tube structure,Optimization,genetics algorithm}, url = {https://jser.ut.ac.ir/article_62235.html}, eprint = {https://jser.ut.ac.ir/article_62235_296c2b35d4a13cd620a044a9764c998d.pdf} }