Influence of Groundwater on the Very Shallow Geothermal Potential (vSGP) in the Area of a Large-Scale Geothermal Collector System (LSC)

IF 2.4 Q2 GEOSCIENCES, MULTIDISCIPLINARY Geosciences (Switzerland) Pub Date : 2023-08-19 DOI:10.3390/geosciences13080251
Mario Rammler, Robin Zeh, David Bertermann
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Abstract

The water balance in the very shallow subsurface can be influenced by capillary rise due to a high groundwater table. Since moisture content is an important factor for the thermal conductivity of soils, this can also have an influence on the very shallow geothermal potential (vSGP). For this reason, the effect of spatial and seasonal variations in groundwater tables on moisture content in essential depth layers was investigated at a large-scale geothermal collector system (LSC) in Bad Nauheim, Germany. Quasi-one-dimensional simulations using the FEFLOW® finite-element simulation system were employed to determine site-dependent and seasonally varying moisture contents, from which thermal conductivities were derived. The model setup was previously validated based on recorded moisture contents. The simulations resulted in groundwater-related maximum seasonal and spatial differences in thermal conductivity of 0.14 W/(m∙K) in the LSC area. Larger differences of up to 0.21 W/(m∙K) resulted for different soil textures at the same depth due to different thermal properties. The results indicate that an efficient design of LSCs requires a sufficiently detailed subsurface exploration to account for small-scale variations in grain size distribution and groundwater level.
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地下水对大型地热集热系统(LSC)区域极浅地热潜力的影响
由于地下水位高,极浅层的水平衡会受到毛细上升的影响。由于含水量是土壤导热性的一个重要因素,这也会对极浅地热潜力(vSGP)产生影响。为此,在德国巴德瑙海姆的大型地热收集系统(LSC)上,研究了地下水位空间和季节变化对重要深层含水率的影响。使用FEFLOW®有限元模拟系统进行准一维模拟,以确定地点相关和季节变化的水分含量,并从中得出导热系数。之前根据记录的水分含量验证了模型设置。模拟结果表明,LSC地区与地下水相关的最大季节和空间热导率差异为0.14 W/(m∙K)。在相同深度下,由于热性质不同,不同土壤质地的差异最大可达0.21 W/(m∙K)。结果表明,有效设计LSCs需要进行足够详细的地下勘探,以考虑粒度分布和地下水位的小范围变化。
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来源期刊
Geosciences (Switzerland)
Geosciences (Switzerland) Earth and Planetary Sciences-Earth and Planetary Sciences (all)
CiteScore
5.30
自引率
7.40%
发文量
395
审稿时长
11 weeks
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