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GEMSToolbox: A novel modelling tool for rapid screening of mines for geothermal heat extraction

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  • Mouli-Castillo, Julien
  • van Hunen, Jeroen
  • MacKenzie, Michael
  • Sear, Thomas
  • Adams, Charlotte

Abstract

Mine water geothermal heat extraction is a promising technology to provide long-term, zero carbon heating in former coal mining regions. However to allow the technology to develop further, modelling tools which are faster than 3D coupled-process simulators and more site specific than analytical solutions need to be developed. A novel modelling tool, GEMSToolbox, was designed for assessing the feasibility of disused and flooded mine workings for such geothermal heat extraction. The basis of GEMSToolbox is built upon tested, computationally efficient modelling methods, and combines efficient solvers for water flow through the mine workings with fast solution methods for heat exchange between the water in the mine galleries and the surrounding rock mass. It expands and improves on these methods by (1) allowing for arbitrarily complex multi-seam mine geometries, and (2) addressing potential thermal interaction between nearby mine galleries using a novel geometric weighting technique. Fast calculation allows for wide parameter investigation studies that is required given the often uncertain state of disused mine systems. This makes the tool ideally suitable for the feasibility stage of a project for which site-specific yet computationally efficient alternative tools are currently lacking. The tool is demonstrated on a case study using plans from a real mine system and shows how it can be used to evaluate the long-term thermal performance of a mine water geothermal heat scheme.

Suggested Citation

  • Mouli-Castillo, Julien & van Hunen, Jeroen & MacKenzie, Michael & Sear, Thomas & Adams, Charlotte, 2024. "GEMSToolbox: A novel modelling tool for rapid screening of mines for geothermal heat extraction," Applied Energy, Elsevier, vol. 360(C).
    • Handle: RePEc:eee:appene:v:360:y:2024:i:c:s0306261924001697
    DOI: 10.1016/j.apenergy.2024.122786
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    References listed on IDEAS

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    1. Bao, Ting & Liu, Zhen (Leo), 2019. "Thermohaline stratification modeling in mine water via double-diffusive convection for geothermal energy recovery from flooded mines," Applied Energy, Elsevier, vol. 237(C), pages 566-580.
    2. Wang, Yan & Hu, Hejuan & Sun, Xiaoyan & Zhang, Yong & Gong, Dunwei, 2022. "Unified operation optimization model of integrated coal mine energy systems and its solutions based on autonomous intelligence," Applied Energy, Elsevier, vol. 328(C).
    3. David Banks & Jonathan Steven & Adam Black & John Naismith, 2022. "Conceptual Modelling of Two Large-Scale Mine Water Geothermal Energy Schemes: Felling, Gateshead, UK," IJERPH, MDPI, vol. 19(3), pages 1-28, January.
    4. Al-Habaibeh, Amin & Athresh, Anup P. & Parker, Keith, 2018. "Performance analysis of using mine water from an abandoned coal mine for heating of buildings using an open loop based single shaft GSHP system," Applied Energy, Elsevier, vol. 211(C), pages 393-402.
    5. David B. Walls & David Banks & Adrian J. Boyce & Neil M. Burnside, 2021. "A Review of the Performance of Minewater Heating and Cooling Systems," Energies, MDPI, vol. 14(19), pages 1-33, September.
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