Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses
Abstract Aquifer thermal energy storage (ATES) has great potential to mitigate CO2 emissions associated with the heating and cooling of buildings and offers wide applicability. Thick productive aquifer layers have been targeted first, as these are the most promising hydrogeological context for ATES....
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2025-01-01
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| Series: | Geothermal Energy |
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| Online Access: | https://doi.org/10.1186/s40517-024-00326-1 |
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| author | Luka Tas Niels Hartog Martin Bloemendal David Simpson Tanguy Robert Robin Thibaut Le Zhang Thomas Hermans |
| author_facet | Luka Tas Niels Hartog Martin Bloemendal David Simpson Tanguy Robert Robin Thibaut Le Zhang Thomas Hermans |
| author_sort | Luka Tas |
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| description | Abstract Aquifer thermal energy storage (ATES) has great potential to mitigate CO2 emissions associated with the heating and cooling of buildings and offers wide applicability. Thick productive aquifer layers have been targeted first, as these are the most promising hydrogeological context for ATES. Regardless, there is currently an increasing trend to target more complex aquifers such as low-transmissivity and alluvial aquifers or fractured rock formations. There, the uncertainty of subsurface characteristics and, with that, the risk of poorly performing systems is considerably higher. Commonly applied strategies to decide upon the ATES feasibility and well design standards for optimization need to be adapted. To further promote the use of ATES in such less favorable aquifers an efficient and systematic methodology evaluating the optimal conditions, while not neglecting uncertainty, is crucial. In this context, the distance-based global sensitivity analysis (DGSA) method is proposed. The analysis focuses on one promising thick productive aquifer, first used to validate the methodology, as well as a complex shallow alluvial aquifer. Through this method, multiple random model realizations are generated by sampling each parameter from a predetermined range of uncertainty. The DGSA methodology validates that the hydraulic conductivity, the natural hydraulic gradient and the annual storage volume dominate the functioning of an ATES system in both hydrogeological settings. The method also advances the state of the art in both settings. It efficiently identifies most informative field data ahead of carrying out the field work itself. In the studied settings, Darcy flux measurements can provide a first estimate of the relative ATES efficiency. It further offers a substantiated basis to streamline models in the future. Insensitive parameters can be fixed to average values without compromising on prediction accuracy. It also demonstrates the insignificance of seasonal soil temperature fluctuations on storage in unconfined shallow aquifers and it clarifies the thermal energy exchange dynamics directly above the storage volume. Finally, it creates the opportunity to explore different storage conditions in a particular setting, allowing to propose cutoff criteria for the investment in ATES. The nuanced understanding gained with this study offers practical guidance for enhanced efficiency of feasibility studies. It proves that the DGSA methodology can significantly speed up the development of ATES in more complex hydrogeological settings. |
| format | Article |
| id | doaj-art-9471e90fb9d540d682b33271838ae733 |
| institution | Kabale University |
| issn | 2195-9706 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SpringerOpen |
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| series | Geothermal Energy |
| spelling | doaj-art-9471e90fb9d540d682b33271838ae7332025-01-12T12:14:25ZengSpringerOpenGeothermal Energy2195-97062025-01-0113112710.1186/s40517-024-00326-1Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analysesLuka Tas0Niels Hartog1Martin Bloemendal2David Simpson3Tanguy Robert4Robin Thibaut5Le Zhang6Thomas Hermans7Department of Geology, Laboratory for Applied Geology and Hydrogeology, Ghent UniversityKWR, Water Research InstituteKWR, Water Research InstituteAdvanced Groundwater Techniques (AGT)VivaquaDepartment of Geology, Laboratory for Applied Geology and Hydrogeology, Ghent UniversityDepartment of Geology, Laboratory for Applied Geology and Hydrogeology, Ghent UniversityDepartment of Geology, Laboratory for Applied Geology and Hydrogeology, Ghent UniversityAbstract Aquifer thermal energy storage (ATES) has great potential to mitigate CO2 emissions associated with the heating and cooling of buildings and offers wide applicability. Thick productive aquifer layers have been targeted first, as these are the most promising hydrogeological context for ATES. Regardless, there is currently an increasing trend to target more complex aquifers such as low-transmissivity and alluvial aquifers or fractured rock formations. There, the uncertainty of subsurface characteristics and, with that, the risk of poorly performing systems is considerably higher. Commonly applied strategies to decide upon the ATES feasibility and well design standards for optimization need to be adapted. To further promote the use of ATES in such less favorable aquifers an efficient and systematic methodology evaluating the optimal conditions, while not neglecting uncertainty, is crucial. In this context, the distance-based global sensitivity analysis (DGSA) method is proposed. The analysis focuses on one promising thick productive aquifer, first used to validate the methodology, as well as a complex shallow alluvial aquifer. Through this method, multiple random model realizations are generated by sampling each parameter from a predetermined range of uncertainty. The DGSA methodology validates that the hydraulic conductivity, the natural hydraulic gradient and the annual storage volume dominate the functioning of an ATES system in both hydrogeological settings. The method also advances the state of the art in both settings. It efficiently identifies most informative field data ahead of carrying out the field work itself. In the studied settings, Darcy flux measurements can provide a first estimate of the relative ATES efficiency. It further offers a substantiated basis to streamline models in the future. Insensitive parameters can be fixed to average values without compromising on prediction accuracy. It also demonstrates the insignificance of seasonal soil temperature fluctuations on storage in unconfined shallow aquifers and it clarifies the thermal energy exchange dynamics directly above the storage volume. Finally, it creates the opportunity to explore different storage conditions in a particular setting, allowing to propose cutoff criteria for the investment in ATES. The nuanced understanding gained with this study offers practical guidance for enhanced efficiency of feasibility studies. It proves that the DGSA methodology can significantly speed up the development of ATES in more complex hydrogeological settings.https://doi.org/10.1186/s40517-024-00326-1Aquifer thermal energy storage (ATES)Sensitivity analysisUncertaintyShallow aquifersOptimizationStochastic method |
| spellingShingle | Luka Tas Niels Hartog Martin Bloemendal David Simpson Tanguy Robert Robin Thibaut Le Zhang Thomas Hermans Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses Geothermal Energy Aquifer thermal energy storage (ATES) Sensitivity analysis Uncertainty Shallow aquifers Optimization Stochastic method |
| title | Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses |
| title_full | Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses |
| title_fullStr | Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses |
| title_full_unstemmed | Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses |
| title_short | Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses |
| title_sort | efficiency and heat transport processes of low temperature aquifer thermal energy storage systems new insights from global sensitivity analyses |
| topic | Aquifer thermal energy storage (ATES) Sensitivity analysis Uncertainty Shallow aquifers Optimization Stochastic method |
| url | https://doi.org/10.1186/s40517-024-00326-1 |
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