The Use of Climatic and Geospatial Data in Assessing the Potential of “Green Energy” and Designing Energy Systems with Renewable Energy Sources in the Republic of Adygea
The integration of green energy sources has many advantages, but their variable nature of generation introduces additional difficulties in organizing a stable supply of end-users. To solve this problem, it is necessary to use renewable energy sources (RES) assessment and forecasting models that allow not only to identify the most suitable locations for such energy systems, but also to determine the potential volumes of energy generation, taking into account seasonal features that determine the amount of incoming energy in the mountainous areas of the Republic of Adygea. However, the construction of such models requires the availability of large sets of climatic data that allow to fully assess the behavior of a particular resource in the area under consideration. The article considers the characteristics of renewable energy sources that can be obtained from open data sources and geographic information systems, the use of which will allow not only to preliminarily assess the potential of renewable energy sources, but also to manage distributed energy systems by realizing short-term forecasts, and also considers examples of such data sources, interaction with which allows to assess the potential of the selected energy resource in the study area.
Authors
- Semen V. Teploukhov (ORCID: https://orcid.org/0000-0003-0099-0369)
- Pavel Yu. Buchatskiy (ORCID: https://orcid.org/0000-0002-3161-6567)
- Stefan V. Onishchenko (ORCID: https://orcid.org/0000-0001-9196-673X)
- Murat K. Bedanokov (ORCID: https://orcid.org/0000-0002-8013-3246)
Institutions
- Adyghe State University (RU)
- Maikop State Technological University (RU)
Publication Details
- Journal
- Rossijskij žurnal nauk o zemle/Russian journal of earth sciences
- Published
- 2025-05-23
- DOI
- https://doi.org/10.2205/2025es000977
- Citations
- 2
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 1.46