Assessing Ukraine`s solar power potential: a comprehensive analysis using satellite data and fuzzy logic

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dc.contributor.authorDrozd, Sofiia
dc.contributor.authorKussul, Nataliia
dc.date.accessioned2025-01-02T14:52:58Z
dc.date.available2025-01-02T14:52:58Z
dc.date.issued2024
dc.description.abstractThis study evaluates the land suitability for the placement of solar power stations in Ukraine, utilizing satellite data on climate factors (Global Horizontal Irradiance, temperature, precipitation, wind speed), topography (elevation, slope), and land use. Fuzzy logic, pairwise comparisons, and weighted linear combination methods were utilized to develop a high-resolution (100 m) land suitability map for the installation of solar power plants. The results show that more than half (54.5%) of Ukraine’s territory has a high suitability score (exceeding 0.65) for solar power stations, particularly in the southern and eastern regions, such as Odessa, Kherson, Mykolaiv, Zaporizhia, Donetsk, and Crimea. Only 10.68% of the land has a suitability score less than 0.6, and 18.18% is deemed absolutely unsuitable (with a score of 0, due to land cover), primarily located in the western and northern parts of the country. This indicates that Ukraine has significant potential for green energy production. The study provides an effective and useful tool for decision-making on the optimal location of solar power facilities in Ukraine.
dc.format.pagerangeP. 3854-3859
dc.identifier.citationDrozd, S. Assessing Ukraine`s solar power potential: a comprehensive analysis using satellite data and fuzzy logic / Sofiia Drozd, Nataliia Kussul // IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 7-12 July, 2024, Athens, Greece. - Athens, 2024. - P. 3854-3859.
dc.identifier.doihttps://doi.org/10.1109/IGARSS53475.2024.10642285
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/71528
dc.language.isoen
dc.publisherAssembled by Conference Management Services, Inc.
dc.publisher.placeAthens
dc.relation.ispartofIGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 7-12 July, 2024 Athens, Greece
dc.subjectSolar PV
dc.subjectsatellite data
dc.subjectfuzzy logic
dc.subjectweighted linear combination
dc.titleAssessing Ukraine`s solar power potential: a comprehensive analysis using satellite data and fuzzy logic
dc.typeArticle

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