PARTICLE SWARM OPTIMIZATION OF A HEAT PUMP PHOTOVOLTAIC ENERGY SYSTEM

Marko Mancic, Emina Petrovic, Vlastimir Nikolić, Milena Jovanović

DOI Number
10.22190/FUWLEP1603165M
First page
165
Last page
176

Abstract


This paper presents cost optimization of a heat pump photovoltaic-thermal energy supply system designed to meet heating, cooling and electricity loads of an energy efficient detached family house. Particle Swarm Optimization algorithm (PSO) was applied and discussed in the paper, where geometrical and mathematical algorithm explanation was given. Convergence analysis is done via eigenvaluess in order to avoid cyclical and quasi-cyclic or divergent behavior of the presented. The performance of described optimization method was numerically tested for optimization of an efficient house model with decentralized energy production and compared to the results obtained by generic algorithm optimization. The model assumes bivalent heat pump operation with a gas boiler, and application of roof integrated and façade integrated photovoltaic thermal collectors. Nominal heat pump power and photovoltaic array surface area are set as optimization variables, optimized according to the value of net present value fitness function. The optimal solution showed that 35% of the design load should be covered by the heat pump, and total available south roof area and east façade area should include photovoltaic integration.


Keywords

Heat pump, Photovoltaic, energy system optimization, Particle swarm optimization, convergence

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