Global sensitivity analysis and uncertainty quantification for design parameters of shallow geothermal systems
Abstract To improve the design process of geothermal systems, it is important to know which design parameters particularly affect the performance of the system. This article presents investigations on design parameters for borehole heat exchangers in the shallow subsurface. The study is based on num...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-03-01
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| Series: | Geothermal Energy |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40517-024-00287-5 |
| _version_ | 1797247406240169984 |
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| author | Simon Richter Katrin Lubashevsky Jakob Randow Steve Henker Jörg Buchwald Anke Bucher |
| author_facet | Simon Richter Katrin Lubashevsky Jakob Randow Steve Henker Jörg Buchwald Anke Bucher |
| author_sort | Simon Richter |
| collection | DOAJ |
| description | Abstract To improve the design process of geothermal systems, it is important to know which design parameters particularly affect the performance of the system. This article presents investigations on design parameters for borehole heat exchangers in the shallow subsurface. The study is based on numerical simulations with one double U-tube borehole heat exchanger and approximated models obtained using machine learning. As a result of the global sensitivity analysis, relevant parameters are identified and their respective influence on the performance of a borehole heat exchanger is compared. For example, according to this analysis, the three parameters with the highest sensitivity are the initial temperature, the heat demand and the share of the borehole heat exchanger that is surrounded by groundwater flow. Finally, the effects of uncertainties in the parameters identified as relevant for the design of a borehole heat exchanger are considered in an uncertainty quantification for a fictitious site. Uncertainties for regulatory compliance with respect to temperature limits as well as a large probability of oversizing the system were identified for the considered example. The results of the exemplary uncertainty quantification indicate that it has the potential to be a useful tool for planning practice. |
| first_indexed | 2024-04-24T19:58:11Z |
| format | Article |
| id | doaj.art-715eea71fd5e48268d5df299f1b05930 |
| institution | Directory Open Access Journal |
| issn | 2195-9706 |
| language | English |
| last_indexed | 2024-04-24T19:58:11Z |
| publishDate | 2024-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Geothermal Energy |
| spelling | doaj.art-715eea71fd5e48268d5df299f1b059302024-03-24T12:15:03ZengSpringerOpenGeothermal Energy2195-97062024-03-0112113710.1186/s40517-024-00287-5Global sensitivity analysis and uncertainty quantification for design parameters of shallow geothermal systemsSimon Richter0Katrin Lubashevsky1Jakob Randow2Steve Henker3Jörg Buchwald4Anke Bucher5Faculty of Engineering, Leipzig University of Applied Sciences, HTWKFaculty of Engineering, Leipzig University of Applied Sciences, HTWKFaculty of Engineering, Leipzig University of Applied Sciences, HTWKgeoENERGIE Konzept GmbHDepartment of Environmental Informatics, Helmholtz Centre for Environmental Research, UFZFaculty of Engineering, Leipzig University of Applied Sciences, HTWKAbstract To improve the design process of geothermal systems, it is important to know which design parameters particularly affect the performance of the system. This article presents investigations on design parameters for borehole heat exchangers in the shallow subsurface. The study is based on numerical simulations with one double U-tube borehole heat exchanger and approximated models obtained using machine learning. As a result of the global sensitivity analysis, relevant parameters are identified and their respective influence on the performance of a borehole heat exchanger is compared. For example, according to this analysis, the three parameters with the highest sensitivity are the initial temperature, the heat demand and the share of the borehole heat exchanger that is surrounded by groundwater flow. Finally, the effects of uncertainties in the parameters identified as relevant for the design of a borehole heat exchanger are considered in an uncertainty quantification for a fictitious site. Uncertainties for regulatory compliance with respect to temperature limits as well as a large probability of oversizing the system were identified for the considered example. The results of the exemplary uncertainty quantification indicate that it has the potential to be a useful tool for planning practice.https://doi.org/10.1186/s40517-024-00287-5Shallow geothermal exploitationBorehole heat exchangerGround source heat pumpNumerical simulationOpenGeoSysSensitivity analysis |
| spellingShingle | Simon Richter Katrin Lubashevsky Jakob Randow Steve Henker Jörg Buchwald Anke Bucher Global sensitivity analysis and uncertainty quantification for design parameters of shallow geothermal systems Geothermal Energy Shallow geothermal exploitation Borehole heat exchanger Ground source heat pump Numerical simulation OpenGeoSys Sensitivity analysis |
| title | Global sensitivity analysis and uncertainty quantification for design parameters of shallow geothermal systems |
| title_full | Global sensitivity analysis and uncertainty quantification for design parameters of shallow geothermal systems |
| title_fullStr | Global sensitivity analysis and uncertainty quantification for design parameters of shallow geothermal systems |
| title_full_unstemmed | Global sensitivity analysis and uncertainty quantification for design parameters of shallow geothermal systems |
| title_short | Global sensitivity analysis and uncertainty quantification for design parameters of shallow geothermal systems |
| title_sort | global sensitivity analysis and uncertainty quantification for design parameters of shallow geothermal systems |
| topic | Shallow geothermal exploitation Borehole heat exchanger Ground source heat pump Numerical simulation OpenGeoSys Sensitivity analysis |
| url | https://doi.org/10.1186/s40517-024-00287-5 |
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