Analytically estimating the efficiency of high temperature aquifer thermal energy storage
Abstract High-Temperature Aquifer Thermal Energy Storage (HT-ATES) can be used to reduce greenhouse gas emissions from heating. The thermal recovery efficiency is the main parameter indicating the performance of an HT-ATES system and it is influenced by multiple aquifer properties and storage charac...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-04-01
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| Series: | Geothermal Energy |
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| Online Access: | https://doi.org/10.1186/s40517-025-00343-8 |
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| author | David Geerts Alexandros Daniilidis Gert Jan Kramer Martin Bloemendal Wen Liu |
| author_facet | David Geerts Alexandros Daniilidis Gert Jan Kramer Martin Bloemendal Wen Liu |
| author_sort | David Geerts |
| collection | DOAJ |
| description | Abstract High-Temperature Aquifer Thermal Energy Storage (HT-ATES) can be used to reduce greenhouse gas emissions from heating. The thermal recovery efficiency is the main parameter indicating the performance of an HT-ATES system and it is influenced by multiple aquifer properties and storage characteristics. This study presents a method for estimating recovery efficiency through numerical modeling, data analysis, and curve fitting. This method shows the relation between the recovery efficiency and various storage conditions, such as aquifer properties and storage temperature. In addition, this research explores an analytical relationship between energetic efficiency and recovery efficiency and verifies that relationship with the generated data. The proposed method can be used for the purpose of initial screening to estimate the performance of an HT-ATES system and for efficiently using HT-ATES as a component in larger energy system models. This method uses the modified Rayleigh number in combination with aquifer thickness and injected volume and has a $$R^2$$ R 2 of 85%. The analytical relation between energetic efficiency and recovery efficiency was shown to be accurate for all calculated energetic efficiency values above 60% and is less accurate with lower calculated energetic efficiency values. |
| format | Article |
| id | doaj-art-c409eac926a44fd9be92ab3ed2c25775 |
| institution | Kabale University |
| issn | 2195-9706 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Geothermal Energy |
| spelling | doaj-art-c409eac926a44fd9be92ab3ed2c257752025-08-20T03:45:10ZengSpringerOpenGeothermal Energy2195-97062025-04-0113112110.1186/s40517-025-00343-8Analytically estimating the efficiency of high temperature aquifer thermal energy storageDavid Geerts0Alexandros Daniilidis1Gert Jan Kramer2Martin Bloemendal3Wen Liu4Copernicus Institute of Sustainable Development, Utrecht UniversityFaculty of Civil Engineering and Geosciences, Delft University of TechnologyCopernicus Institute of Sustainable Development, Utrecht UniversityFaculty of Civil Engineering and Geosciences, Delft University of TechnologyCopernicus Institute of Sustainable Development, Utrecht UniversityAbstract High-Temperature Aquifer Thermal Energy Storage (HT-ATES) can be used to reduce greenhouse gas emissions from heating. The thermal recovery efficiency is the main parameter indicating the performance of an HT-ATES system and it is influenced by multiple aquifer properties and storage characteristics. This study presents a method for estimating recovery efficiency through numerical modeling, data analysis, and curve fitting. This method shows the relation between the recovery efficiency and various storage conditions, such as aquifer properties and storage temperature. In addition, this research explores an analytical relationship between energetic efficiency and recovery efficiency and verifies that relationship with the generated data. The proposed method can be used for the purpose of initial screening to estimate the performance of an HT-ATES system and for efficiently using HT-ATES as a component in larger energy system models. This method uses the modified Rayleigh number in combination with aquifer thickness and injected volume and has a $$R^2$$ R 2 of 85%. The analytical relation between energetic efficiency and recovery efficiency was shown to be accurate for all calculated energetic efficiency values above 60% and is less accurate with lower calculated energetic efficiency values.https://doi.org/10.1186/s40517-025-00343-8High-Temperature Aquifer Thermal Energy Storage (HT-ATES)Recovery efficiencyEnergetic efficiencyAnalytical approach |
| spellingShingle | David Geerts Alexandros Daniilidis Gert Jan Kramer Martin Bloemendal Wen Liu Analytically estimating the efficiency of high temperature aquifer thermal energy storage Geothermal Energy High-Temperature Aquifer Thermal Energy Storage (HT-ATES) Recovery efficiency Energetic efficiency Analytical approach |
| title | Analytically estimating the efficiency of high temperature aquifer thermal energy storage |
| title_full | Analytically estimating the efficiency of high temperature aquifer thermal energy storage |
| title_fullStr | Analytically estimating the efficiency of high temperature aquifer thermal energy storage |
| title_full_unstemmed | Analytically estimating the efficiency of high temperature aquifer thermal energy storage |
| title_short | Analytically estimating the efficiency of high temperature aquifer thermal energy storage |
| title_sort | analytically estimating the efficiency of high temperature aquifer thermal energy storage |
| topic | High-Temperature Aquifer Thermal Energy Storage (HT-ATES) Recovery efficiency Energetic efficiency Analytical approach |
| url | https://doi.org/10.1186/s40517-025-00343-8 |
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