Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm

Martin János Mayer, Artúr Szilágyi and Gyula Gróf

Applied Energy, 2020, vol. 269, issue C, No S0306261920305705

Abstract: The rapid spread of renewables made it essential to design optimal hybrid renewable energy systems (HRES) with the distinctive economic and environmental impacts of each technology in mind. According to a comprehensive literature review, very few studies consider life-cycle environmental impacts in small-scale hybrid renewable energy system optimization. This paper aims to fill this gap by providing a multi-objective design framework for household-scale systems based on the technical modeling of several typical components. Solar photovoltaic, wind turbine, solar heat collector, heat pump, heat storage, battery, and as a novelty, heat insulation thickness are considered. Backup power is either drawn from the grid or produced by a diesel generator in grid-connected and off-grid scenarios, respectively.

Keywords: Renewable energy production; Hybrid energy system; Life-cycle assessment; Multi-objective optimization; Genetic algorithm (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (54)

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DOI: 10.1016/j.apenergy.2020.115058

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