Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic
dc.contributor.author | Drozd, Sofiia | |
dc.contributor.author | Kussul, Nataliia | |
dc.date.accessioned | 2025-01-02T12:41:15Z | |
dc.date.available | 2025-01-02T12:41:15Z | |
dc.date.issued | 2024 | |
dc.description.abstract | The Green Deal strategic plan for the development of renewable energy until 2030 is ofparticular importance in the context of the restoration of Ukraine’s post-war energy infrastruc-ture. One of the key topics is the analysis of the possibilities of installing large solar powerplants in Ukraine. In this article, a multi-criteria analysis of the suitability of the territory ofUkraine is carried out on the basis of climatic, topographic and land use criteria. To assess landsuitability, criteria standardized using fuzzy logic with weights determined by experts throughthe method of pairwise comparisons were combined using a weighted sum model. Uponcompleting the study, a suitability map was generated, depicting zones with varying levels ofsuitability (ranging from 0 to 1) for solar power plant placement. It was found that more than35.68% of the country has average values of the suitability index (0.65–0.7), and approximately18.82% show high indicators (<0.7). Conditions are especially favorable in the south of Ukraine. | |
dc.format.pagerange | P. 1-25 | |
dc.identifier.citation | Drozd, S. Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic / Sofiia Drozd, Nataliia Kussul // European Journal of Remote Sensing. - 2024. - Vol. 57. - No. 1. - P. 1-25. | |
dc.identifier.doi | https://doi.org/10.1080/22797254.2024.2362390 | |
dc.identifier.uri | https://ela.kpi.ua/handle/123456789/71514 | |
dc.language.iso | en | |
dc.publisher | Associazione Italiana di Telerilevamento (AIT) | |
dc.publisher.place | Florence | |
dc.relation.ispartof | European Journal of Remote Sensing, Vol. 57, No. 1, 2024 | |
dc.subject | Solar power | |
dc.subject | land suitability analysis | |
dc.subject | GIS | |
dc.subject | remote sensing | |
dc.subject | multi-criteria analysis | |
dc.subject | fuzzy logic | |
dc.title | Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic | |
dc.type | Article |
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