A Multi-objective Optimization Model for Determining Urban Energy Systems under Integrated Energy Service in a Specific Area

Abstract

The integrated energy service system for a specific area is supposed to deliver electric and thermal energy in an integrated manner for purpose of reducing cost, primary energy consumption and CO₂ emission. Under an assumption of the service system, this paper develops a multi-objective optimization model for determining urban energy systems. Considering the various energy system alternatives, e.g. photovoltaic generations for residential houses and fuel-cell cogenerations for business and commercial customers, the model determines the share of the energy system alternatives in order to minimize the above three indices. As numerical examples, this paper illustrates tradeoff analyses in case that the proposed model is applied to 2 kilometers square of an actual city in Osaka. Finally, this paper illustrates the role of various energy system alternatives from CO₂ reduction and fossil energy reduction points of view.