Identification of a multi-criteria model of location assessment for renewable energy sources

Abstract

The paper presents an identification method of a multicriteria model of location assessment for renewable energy sources (RES). Sustainable energy systems have a growing importance for the long-term national strategic planning, which requires multi-facet decision making. The multi-criteria decision-analysis (MCDA) methods are widely used in this field. However, the used methods usually identify discrete values of preferences for selected alternatives. Most of the calculation must be repeated for each set of alternatives. This study is intended to identify the multi-criteria model in the space of the problem, not only for a few selected alternatives. The model should be independent of the considered alternatives and related strictly to the domain of criteria. As the result, a model identified once can be used repeatedly. For this purpose, the COMET method is used in the identification process. It has provided the fuzzy model, which can be used repeatedly for different sets of alternatives. The model is verified by using the set of possible offshore wind farm localization.