Key Drivers of Predicting the Growth of Ukraine's National Renewable Energy Industry.
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| Title: | Key Drivers of Predicting the Growth of Ukraine's National Renewable Energy Industry. |
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| Authors: | Zaichenko, S.1 (AUTHOR), Voitenko, Y.2 (AUTHOR), Pochka, K.3 (AUTHOR), Shalenko, V.3 (AUTHOR), Trachuk, A.1 (AUTHOR) atrachuk1990@gmail.com |
| Source: | Latvian Journal of Physics & Technical Sciences. Jun2026, Vol. 63 Issue 3, p13-31. 19p. |
| Subjects: | Geographic information systems, Spatial data infrastructures, Digital platforms, Renewable energy sources, Geographic spatial analysis, Sustainable development |
| Geographic Terms: | Ukraine |
| Abstract: | The article explores the strategic importance of geospatial infrastructure in assessing and planning the use of renewable energy sources (RES) across Ukraine. Despite the growing need for sustainable energy development, the role of spatial data and GIS technologies in determining regional renewable energy potential remains understudied. This study addresses this gap by building an integrated GIS-based model that incorporates a variety of spatial indicators, including climate conditions, topography, solar radiation, wind speed, biomass availability, and water resources. Using spatial analysis, geospatial modelling, and multi-criteria assessment through an index approach, the study assesses how the availability, accuracy, and timeliness of geospatial infrastructure affect energy planning decisions. The results show that high‑ quality GIS tools significantly optimise the identification of suitable locations for renewable energy facilities. A new approach to integrating environmental and information spatial factors is proposed. The results of the study have practical value for the development of regional and national energy strategies, the creation of digital platforms for assessing the potential of renewable energy sources and guiding political decisions. The authors advocate the creation of a national open-access geoinformation platform that integrates critical spatial datasets for use by government, academic and business structures. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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