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Multi-objective optimization of hybrid photovoltaic–thermal collectors integrated in a DHW heating system

Authors
Journal
Energy and Buildings
0378-7788
Publisher
Elsevier
Volume
74
Identifiers
DOI: 10.1016/j.enbuild.2014.01.011
Keywords
  • Solar Energy
  • Photovoltaic Thermal Collector
  • Optimization
  • Nsga-Ii
  • Genetic Algorithm
Disciplines
  • Computer Science
  • Design
  • Mathematics

Abstract

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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