Vladislav A. Shakirov, Vladimir A. Pionkevich

National research Irkutsk state technical university

Abstract. In many cases, it is advisable to supply electricity and heat to consumers in remote and hard-to-reach areas using renewable energy sources. Designing an optimal autonomous energy system is associated with a number of difficulties: the stochastic nature of the potential of renewable energy sources, a variety of technical and economic parameters and technological limitations of the equipment. The long life cycle of an energy system and the multiplicity of goals pursued during its creation or development lead to the need for a multi-criteria consideration of the problem. The article provides an overview of methods and software for selecting configurations of energy systems, and shows the relevance of developing multi-criteria approaches. A two-stage approach to the multi-criteria selection of the configuration of an autonomous energy system is proposed. At the first stage, the nPro software tool is used, providing optimization of configurations of various energy systems, including wind turbines, photovoltaic converters, heat pumps, solar collectors, electric and thermal energy storage devices. At the second stage, a multi-criteria assessment of the formed energy systems is carried out using the TOPSIS method. To improve the validity of the solutions obtained, the weights of the criteria are determined based on an objective assessment using the entropy method, as well as a subjective method. An example of the approach application is considered for the remote settlement of Ust-Sobolevka, located in Primorsky Krai. As a result, ten configurations for autonomous electricity and heat supply were optimized and their multi-criteria assessment was carried out taking into account four criteria: capital costs, the levelized cost of electricity and heat, and carbon dioxide emissions. The most preferable configuration has relatively low capital costs and carbon dioxide emissions, as well as the best estimates of the levelized cost of electricity and heat among the options considered.

energy system, renewable energy, optimization, modeling