Parameter identification and range restriction through sensitivity analysis for a high-temperature heat injection test

Geothermal Energy

Research

Stefan Heldt¹  Sebastian Bauer²  Bo Wang³ 

[1] Institute of Geosciences, Christian-Albrechts-University Kiel, Ludewig-Meyn-Str. 10, 24118, Kiel, Germany;Institute of Geosciences, Christian-Albrechts-University Kiel, Ludewig-Meyn-Str. 10, 24118, Kiel, Germany;Kompetenzzentrum Geo-Energie of Kiel University (KGE), Christian-Albrechts-University Kiel, Ludewig-Meyn-Str. 10, 24118, Kiel, Germany;Institute of Geosciences, Christian-Albrechts-University Kiel, Ludewig-Meyn-Str. 10, 24118, Kiel, Germany;Kompetenzzentrum Geo-Energie of Kiel University (KGE), Christian-Albrechts-University Kiel, Ludewig-Meyn-Str. 10, 24118, Kiel, Germany;M&P ENERGY GmbH, Sachsenstraße 6, 20097, Hamburg, Germany;

关键词: High-temperature heat injection test;    Sensitivity analysis;    Numerical modeling;    OpenGeoSys;    Aquifer thermal energy storage;    Parameter investigation;   

DOI  :  10.1186/s40517-023-00255-5

 received in 2022-07-07, accepted in 2023-04-13,  发布年份 2023

来源: Springer

【 摘 要 】

In order to compensate for the variable mismatch between heat demand and heat production from renewable sources or waste heat, high-temperature aquifer thermal energy storage (HT-ATES) is a promising option. A reliable prediction of the energetic performance as well as thermal and hydraulic impacts of a HT-ATES requires a suitable model parameterization regarding the subsurface properties. In order to identify the subsurface parameters on which investigation efforts should be focused, we carried out an extensive sensitivity analysis of the thermal and hydraulic parameters for a high-temperature heat injection test (HIT) using numerical modeling of the governing coupled thermo-hydraulic processes. The heat injection test was carried out in a quaternary shallow aquifer using injection temperatures of about 75 °C over 5 days, accompanied by an extensive temperature monitoring. The sensitivity analysis is conducted for parameter ranges based on literature values, based on site investigation at the HIT site and based on a model calibrated to the measured temperature distribution following the heat injection. Comparing the parameter ranges thus obtained in this three-step approach allows to identify those parameters, for which model prediction uncertainty decreased most, which are also the parameters, that strongly affect the thermal behavior. The highest sensitivity is found for vertical and horizontal hydraulic conductivity as well as for groundwater flow velocity, indicating that investigation efforts for HT-ATES projects should focus on these parameters. Heat capacity and thermal conductivity have a smaller impact on the temperature distribution. Our work thus yields a consistent approach to identifying the parameters which can be best restricted by field investigations and subsequent model calibration. Focusing on these during field investigations thus enable improved model predictions of both HT-ATES operation and induced impacts.

【 授权许可】

CC BY   
© The Author(s) 2023

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