Russian Journal of Earth Sciences Russian Journal of Earth Sciences Russian Journal of Earth Sciences 1681-1208 90783 10.2205/2025ES000977 zljxtg Спецвыпуск: "Наука о данных, геоинформатика и системный анализ в изучении Земли" Special Issue: “Data Science, Geoinformatics and Systems Analysis in Geosciences” Спецвыпуск: "Наука о данных, геоинформатика и системный анализ в изучении Земли" 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 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 https://orcid.org/0000-0002-8013-3246 Беданоков Мурат Капланович Bedanokov M. K. https://orcid.org/0000-0002-3161-6567 Бучацкий П. Ю. Buchatskiy P. Yu. butch_p99@mail.ru https://orcid.org/0000-0003-0099-0369 Теплоухов С. В. Teploukhov S. V. https://orcid.org/0000-0001-9196-673X Онищенко С. В. Onishchenko S. V. Адыгейский государственный университет Россия Adyghe State University Russian Federation Адыгейский государственный университет Adyghe State University 23 05 2025 23 05 2025 25 2 1 7 15 11 2024 15 04 2025 https://rjes.ru/en/nauka/article/90783/view

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.

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.

 renewable energy sources data energy potential assessment geographic information systems renewable energy sources data energy potential assessment geographic information systems No. No.

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