Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems
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 flexi...
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| Format: | Article |
| Language: | English |
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Russian Academy of Sciences, The Geophysical Center
2023-12-01
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| Series: | Russian Journal of Earth Sciences |
| Subjects: | |
| Online Access: | http://doi.org/10.2205/2023ES02SI01 |
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| author | Simankov V. Buchatskiy P. Onishchenko S. Teploukhov S. |
| author_facet | Simankov V. Buchatskiy P. Onishchenko S. Teploukhov S. |
| author_sort | Simankov V. |
| collection | DOAJ |
| description | 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 |
| format | Article |
| id | doaj-art-69ce127f2e9b480fbae1065c76d40d0f |
| institution | DOAJ |
| issn | 1681-1208 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Russian Academy of Sciences, The Geophysical Center |
| record_format | Article |
| series | Russian Journal of Earth Sciences |
| spelling | doaj-art-69ce127f2e9b480fbae1065c76d40d0f2025-08-20T02:46:35ZengRussian Academy of Sciences, The Geophysical CenterRussian Journal of Earth Sciences1681-12082023-12-0123511710.2205/2023ES02SI01Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy SystemsSimankov V.0https://orcid.org/0000-0002-6249-8719Buchatskiy P.1https://orcid.org/0000-0002-3161-6567Onishchenko S.2https://orcid.org/0000-0001-9196-673XTeploukhov S.3https://orcid.org/0000-0003-0099-0369Kuban State University of TechnologyAdyghe State UniversityAdyghe State UniversityAdyghe State UniversityEnergy 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 complexhttp://doi.org/10.2205/2023ES02SI01potential assessment models smart models renewable energy solar energy |
| spellingShingle | Simankov V. Buchatskiy P. Onishchenko S. Teploukhov S. Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems Russian Journal of Earth Sciences potential assessment models smart models renewable energy solar energy |
| title | Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems |
| title_full | Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems |
| title_fullStr | Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems |
| title_full_unstemmed | Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems |
| title_short | Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems |
| title_sort | review of models for estimating and predicting the amount of energy produced by solar energy systems |
| topic | potential assessment models smart models renewable energy solar energy |
| url | http://doi.org/10.2205/2023ES02SI01 |
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