Abstract
A mathematical model for making quantitative and qualitative predictions regarding the performance of water-cooled photovoltaic/thermal collectors integrated with a building domestic hot water preparation system has been developed. A genetic algorithm has been applied to the model in order to simultaneously find optimal design parameters affecting photovoltaic/thermal collectors’ feasibility. For all formulated problems, Pareto optimal sets of conflicting solutions are obtained giving the designer information on the trade-off relationships between solutions.
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