Key Drivers of Predicting the Growth of Ukraine’s National Renewable Energy Industry

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.

Authors

Institutions

Publication Details

Journal
Latvian Journal of Physics and Technical Sciences
Published
2026-05-27
DOI
https://doi.org/10.2478/lpts-2026-0018
Primary Topic
Social Acceptance of Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Key Drivers of Predicting the Growth of Ukraine’s National Renewable Energy Industry

S. Zaichenko, В. Шаленко, Y. Voitеnko, K. Pochka et al.
Latvian Journal of Physics and Technical Sciences
Social Acceptance of Renewable Energy
article

Key Drivers of Predicting the Growth of Ukraine’s National Renewable Energy Industry

S. Zaichenko, В. Шаленко, Y. Voitеnko, K. Pochka, A. Trachuk
article en

Abstract

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.

Latvian Journal of Physics and Technical SciencesVol. 63(3)
Kyiv National University of Construction and Architecture (UA), National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (UA), Ukrainian Hydrometeorological Institute (UA)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Social Acceptance of Renewable Energy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.