Global and Local Sensitivity Analysis of Heat Transport in Fractured Rock Using a Modified Implementation of the <scp>LH</scp> ‐ <scp>OAT</scp> Method

Abstract Thermal remediation of contaminated sites in fractured bedrock is complicated by the characterization and identification of heat transfer between fractures and matrix, and the complex interactions between the hydrogeological and thermodynamic parameters. A three‐dimensional numerical model was applied to investigate these issues using global and local sensitivity analyses for the significance of six variables that potentially influence the heating performance in fractured rock. These variables include the radius and energy delivery strength of the heat source (which were used to study the scale effect and heating processes), the fracture aperture, fracture spacing, groundwater flow velocity, and the thermal conductivity of the rock matrix. A discrete Latin Hypercube‐One‐at‐A‐Time (LH‐OAT) scheme is proposed and utilized as an experimental design and data analysis method for the discrete variables that apply to this case. The results show that at all four monitoring points within the heating area, the radius of the source and energy delivery strength are the most sensitive parameters. To minimize heat dissipation, additional heating wells are demonstrated to be effective for a small or pilot scale site (5 &lt; r &lt; 10 m), while the increase of energy delivery strength is more applicable for larger sites. Extra efforts should be invested to minimize heat dissipation when large fractures (2 b &gt; 1600 μm) are identified in the heating area. Re‐samplings and re‐evaluations with one‐way perturbation in both positive and negative directions are thus suggested to avoid biased results caused by perturbations that occur in only positive or negative directions.

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Publication Details

Journal
Groundwater Monitoring & Remediation
Published
2024-11-15
DOI
https://doi.org/10.1111/gwmr.12696
Citations
3
Primary Topic
Groundwater flow and contamination studies
Type
article
Field-Weighted Citation Impact
0.62

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article

Global and Local Sensitivity Analysis of Heat Transport in Fractured Rock Using a Modified Implementation of the LH ‐ OAT Method

Kent Novakowski, Xiaolong Wu, Bernard H. Kueper
3 citations
Groundwater Monitoring & Remediation
Groundwater flow and contamination studies
0.62
article

Global and Local Sensitivity Analysis of Heat Transport in Fractured Rock Using a Modified Implementation of the LH ‐ OAT Method

Kent Novakowski, Xiaolong Wu, Bernard H. Kueper
article en
3 citations

Abstract

Abstract Thermal remediation of contaminated sites in fractured bedrock is complicated by the characterization and identification of heat transfer between fractures and matrix, and the complex interactions between the hydrogeological and thermodynamic parameters. A three‐dimensional numerical model was applied to investigate these issues using global and local sensitivity analyses for the significance of six variables that potentially influence the heating performance in fractured rock. These variables include the radius and energy delivery strength of the heat source (which were used to study the scale effect and heating processes), the fracture aperture, fracture spacing, groundwater flow velocity, and the thermal conductivity of the rock matrix. A discrete Latin Hypercube‐One‐at‐A‐Time (LH‐OAT) scheme is proposed and utilized as an experimental design and data analysis method for the discrete variables that apply to this case. The results show that at all four monitoring points within the heating area, the radius of the source and energy delivery strength are the most sensitive parameters. To minimize heat dissipation, additional heating wells are demonstrated to be effective for a small or pilot scale site (5 &lt; r &lt; 10 m), while the increase of energy delivery strength is more applicable for larger sites. Extra efforts should be invested to minimize heat dissipation when large fractures (2 b &gt; 1600 μm) are identified in the heating area. Re‐samplings and re‐evaluations with one‐way perturbation in both positive and negative directions are thus suggested to avoid biased results caused by perturbations that occur in only positive or negative directions.

Groundwater Monitoring & RemediationVol. 45(1)
Natural Sciences and Engineering Research Council of Canada
Affordable and clean energy
Openalex Percentile: Top 34%
Groundwater flow and contamination studies
0.62
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