This analysis estimates wind energy potential in five regions, utilizing fuzzy and Boolean logic for informed criteria decisions.
The article is devoted to the assessment of wind energy potential for 5 subjects within the Far Eastern Federal District of the Russian Federation: Amur Region, Jewish Autonomous Region, Khabarovsk Region, Primorsky Region, Sakhalin Region. The potential assessment was carried out with a focus on the possible production of “green” hydrogen using electricity generated from wind farms. When calculating the desired potential, the method of hierarchy analysis, coupled with fuzzy and Boolean logic, was used. To carry out the calculations, a list of physico-geographical, economic-geographical and restrictive criteria necessary for a comprehensive assessment of the potential was formed. Based on the assessments of experts in this field, a pairwise matrix of criteria comparison was formed. Based on it, the weights of the criteria themselves were obtained. Subsequently, the wind energy potential was calculated for each point within the boundaries of the studied subjects using the weighted linear combination method. During the calculations, the previously obtained weights of the criteria and their relative values, calculated using fuzzy logic tools, were used. Additionally, considering low winter temperatures, a corresponding amendment was introduced. Based on the data obtained, a statistical assessment was made for the study area, and appropriate recommendations were developed.
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Mihail Demidionov (2025) studied this question.
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