Thursday, October 19th, 2017

Optimal sizing of a solar thermal building installation using particle swarm optimization

Publication year: 2011brbSource:/b Energy, In Press, Corrected Proof, Available online 30 June 2011brRaffaele, Bornatico , Michael, Pfeiffer , Andreas, Witzig , Lino, GuzzellabrIn recent years the domestic energy management has become a non-trivial task as the number of energy sources and system components involved have increased, and all components have to operate coordinately in order to maximize global efficiency measures.In this paper a methodology is presented for finding the optimal size of the main components for a solar thermal system where particular attention is given to the optimization framework. The use of the PSO (particle swarm optimization) algorithm is proposed and the results obtained are compared with a GA (genetic algorithm) solution. Further, the relative influence of certain system parameters on the…br Highlights: ► Solar combisystem for heating and hot water preparation of mid-sized building. ► System component optimization and comparison between PSO and GA algorithm results. ► Energy use strongly depends on heating set-point temperature during day. ► Sensitivity of solution dominated by solar collector, followed by storage tank size.

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