Installed capacity optimization of distributed energy resource systems for residential buildings

Abstract Our work aims to reduce residential energy consumption and expense by presenting a methodology for integrating electricity and hot water supply, and determining the optimum installed capacities of the selected distributed energy resource systems, which consist of a photovoltaic system, a solar water heating system and a fuel cell system. Initially, we build the dynamic model respectively for every individual system on the basis of their respective working principles. Then we propose operation strategies of electric power and hot water separately for the integration of the models. Followed, we apply a genetic algorithm to optimize the installed capacities of the systems, aiming at reducing the conventional energy consumption and the life cycle costs. With a complete database, the integration and optimization methodology are finally applied to a typical building located in Fukuoka City in Japan. It is shown by the computer simulation that the methodology which we propose can help to reduce considerable quantity of residential energy consumption and expense.