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

IF 2.9 2区 地球科学 Q3 ENERGY & FUELS
Stefan Heldt, Bo Wang, Sebastian Bauer
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引用次数: 1

Abstract

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.

基于灵敏度分析的高温热注入试验参数识别与范围限制
为了补偿热需求与可再生能源或废热产热之间的可变不匹配,高温含水层热能储存(HT-ATES)是一个很有前途的选择。要可靠地预测HT-ATES的能量性能以及热和水力影响,需要对其地下特性进行合适的模型参数化。为了确定应该重点研究的地下参数,我们使用控制热-水力耦合过程的数值模拟对高温热注入试验(HIT)的热工参数和水力参数进行了广泛的敏感性分析。热注入测试在第四纪浅层含水层中进行,注入温度约为75°C,持续5天,同时进行了广泛的温度监测。对参数范围的敏感性分析基于文献值,基于在HIT现场的现场调查,并基于对热注入后测量温度分布进行校准的模型。通过比较三步法得到的参数范围,可以识别出那些模型预测不确定性降低最多的参数,这些参数也是强烈影响热行为的参数。垂直和水平的水力导电性以及地下水流速的敏感性最高,这表明HT-ATES项目的调查工作应集中在这些参数上。热容和导热系数对温度分布的影响较小。因此,我们的工作产生了一种一致的方法来确定参数,这些参数可以通过实地调查和随后的模型校准得到最好的限制。因此,在现场调查期间,将重点放在这些方面,可以改进HT-ATES操作和诱发影响的模型预测。
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来源期刊
Geothermal Energy
Geothermal Energy Earth and Planetary Sciences-Geotechnical Engineering and Engineering Geology
CiteScore
5.90
自引率
7.10%
发文量
25
审稿时长
8 weeks
期刊介绍: Geothermal Energy is a peer-reviewed fully open access journal published under the SpringerOpen brand. It focuses on fundamental and applied research needed to deploy technologies for developing and integrating geothermal energy as one key element in the future energy portfolio. Contributions include geological, geophysical, and geochemical studies; exploration of geothermal fields; reservoir characterization and modeling; development of productivity-enhancing methods; and approaches to achieve robust and economic plant operation. Geothermal Energy serves to examine the interaction of individual system components while taking the whole process into account, from the development of the reservoir to the economic provision of geothermal energy.
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