Russian Journal of Earth Sciences Russian Journal of Earth Sciences Russian Journal of Earth Sciences 1681-1208 72208 10.2205/2023ES02SI01 СПЕЦВЫПУСК: "ФУНДАМЕНТАЛЬНЫЕ И ПРИКЛАДНЫЕ АСПЕКТЫ ГЕОЛОГИИ, ГЕОФИЗИКИ И ГЕОЭКОЛОГИИ" SPECIAL ISSUE: "FUNDAMENTAL AND APPLIED ASPECTS OF GEOLOGY, GEOPHYSICS AND GEOECOLOGY" СПЕЦВЫПУСК: "ФУНДАМЕНТАЛЬНЫЕ И ПРИКЛАДНЫЕ АСПЕКТЫ ГЕОЛОГИИ, ГЕОФИЗИКИ И ГЕОЭКОЛОГИИ" Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems https://orcid.org/0000-0002-6249-8719 Симанков В. С. Simankov V. S. https://orcid.org/0000-0002-3161-6567 Бучацкий П. Ю. Buchatskiy P. Yu. butch_p99@mail.ru https://orcid.org/0000-0001-9196-673X Онищенко С. В. Onishchenko S. V. https://orcid.org/0000-0003-0099-0369 Теплоухов С. В. Teploukhov S. V. Кубанский государственный технологический университет Kuban State University of Technology Адыгейский государственный университет Adyghe State University 15 12 2023 15 12 2023 23 5 1 17 20 10 2023 27 11 2023 https://rjes.ru/en/nauka/article/72208/view

Energy production based on renewable sources is a fundamental aspect of society’s sustainable development. The involvement of renewable energy sources in the implementation of modern energy systems can significantly reduce the amount of harmful emissions into the atmosphere and provide greater flexibility of energy infrastructure. The first step in determining the feasibility of involving a particular energy source in the overall energy system of the region is a preliminary assessment of the energy potential to determine the possible percentage of substitution of traditional energy. To solve this problem, it is necessary to use the models of energy supply, which are currently presented in a wide variety. In this regard, this paper proposes to consider various models for estimating the solar energy potential, which can be divided into empirical models and models based on the application of modern intelligent data analysis technologies. Such models are based on many different climatic and geographical indicators, such as: longitude of sunshine, ambient temperature, serial number of the day of the current year, amount of precipitation, average and maximum values of wind speed and so on. The paper analyzed the existing models for estimating the amount of energy, which can be used in the system designed to determine the most optimal configuration of the energy system based on the use of various conversion technologies most relevant to the case under study, and also serve as the basis for creating digital twins designed to model and optimize the operation of the projected energy complex

Energy production based on renewable sources is a fundamental aspect of society’s sustainable development. The involvement of renewable energy sources in the implementation of modern energy systems can significantly reduce the amount of harmful emissions into the atmosphere and provide greater flexibility of energy infrastructure. The first step in determining the feasibility of involving a particular energy source in the overall energy system of the region is a preliminary assessment of the energy potential to determine the possible percentage of substitution of traditional energy. To solve this problem, it is necessary to use the models of energy supply, which are currently presented in a wide variety. In this regard, this paper proposes to consider various models for estimating the solar energy potential, which can be divided into empirical models and models based on the application of modern intelligent data analysis technologies. Such models are based on many different climatic and geographical indicators, such as: longitude of sunshine, ambient temperature, serial number of the day of the current year, amount of precipitation, average and maximum values of wind speed and so on. The paper analyzed the existing models for estimating the amount of energy, which can be used in the system designed to determine the most optimal configuration of the energy system based on the use of various conversion technologies most relevant to the case under study, and also serve as the basis for creating digital twins designed to model and optimize the operation of the projected energy complex

 potential assessment models smart models renewable energy solar energy No funding

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