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Simulation of thermal response tests in a layered subsurface

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  • Raymond, J.
  • Lamarche, L.

Abstract

A conventional thermal response test (TRT) provides a bulk estimate of the subsurface and borehole thermal properties over the length of the ground heat exchanger (GHE). The measurement of temperature inside the borehole during a TRT can be carried out to further determine thermal properties at different depths. The analysis of the transient temperature response is commonly performed with an analytical solution assuming a constant heat injection rate, which does not reproduce the effect of water flow along the pipe of the GHE. This heat transport mechanism can induce a temporal variation of the heat injection rate at depth although heat injection remains constant at the surface. Analysis of synthetic data generated with numerical simulations of TRTs in a layered subsurface was consequently carried out to verify this analytical approach. The program MLU was selected for analyzing the TRTs because of its capacity to take into account multiple layers. Results indicated that the analysis can be improved by accounting for variable heat injection rates determined inside the GHE. Estimation of both the subsurface thermal conductivity and the borehole thermal resistance was within 20% of the expected values, except when the thermal conductivity of the subsurface is low. For a simulation case carried out with a subsurface layer that had a thermal conductivity as low as 1Wm−1K−1, the borehole thermal resistance could not be determined with significant accuracy.

Suggested Citation

  • Raymond, J. & Lamarche, L., 2013. "Simulation of thermal response tests in a layered subsurface," Applied Energy, Elsevier, vol. 109(C), pages 293-301.
  • Handle: RePEc:eee:appene:v:109:y:2013:i:c:p:293-301
    DOI: 10.1016/j.apenergy.2013.01.033
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    References listed on IDEAS

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    1. Raymond, J. & Therrien, R. & Gosselin, L. & Lefebvre, R., 2011. "Numerical analysis of thermal response tests with a groundwater flow and heat transfer model," Renewable Energy, Elsevier, vol. 36(1), pages 315-324.
    2. Lee, C.K., 2011. "Effects of multiple ground layers on thermal response test analysis and ground-source heat pump simulation," Applied Energy, Elsevier, vol. 88(12), pages 4405-4410.
    3. Wagner, Valentin & Bayer, Peter & Kübert, Markus & Blum, Philipp, 2012. "Numerical sensitivity study of thermal response tests," Renewable Energy, Elsevier, vol. 41(C), pages 245-253.
    4. Marcotte, D. & Pasquier, P., 2008. "On the estimation of thermal resistance in borehole thermal conductivity test," Renewable Energy, Elsevier, vol. 33(11), pages 2407-2415.
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    1. Raymond, Jasmin & Lamarche, Louis & Malo, Michel, 2015. "Field demonstration of a first thermal response test with a low power source," Applied Energy, Elsevier, vol. 147(C), pages 30-39.
    2. Yong Li & Shibin Geng & Xu Han & Hua Zhang & Fusheng Peng, 2017. "Performance Evaluation of Borehole Heat Exchanger in Multilayered Subsurface," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    3. Hu, Jinzhong, 2017. "An improved analytical model for vertical borehole ground heat exchanger with multiple-layer substrates and groundwater flow," Applied Energy, Elsevier, vol. 202(C), pages 537-549.
    4. BniLam, Noori & Al-Khoury, Rafid, 2020. "Parameter identification algorithm for ground source heat pump systems," Applied Energy, Elsevier, vol. 264(C).
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    6. Chen, Guodong & Jiao, Jiu Jimmy & Jiang, Chuanyin & Luo, Xin, 2024. "Surrogate-assisted level-based learning evolutionary search for geothermal heat extraction optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    7. Franco, A. & Moffat, R. & Toledo, M. & Herrera, P., 2016. "Numerical sensitivity analysis of thermal response tests (TRT) in energy piles," Renewable Energy, Elsevier, vol. 86(C), pages 985-992.
    8. Jia, Jie & Lee, W.L. & Cheng, Yuanda, 2019. "Field demonstration of a first constant-temperature thermal response test with both heat injection and extraction for ground source heat pump systems," Applied Energy, Elsevier, vol. 249(C), pages 79-86.
    9. Zhou, Guoqing & Zhou, Yang & Zhang, Donghai, 2016. "Analytical solutions for two pile foundation heat exchanger models in a double-layered ground," Energy, Elsevier, vol. 112(C), pages 655-668.
    10. Soldo, Vladimir & Boban, Luka & Borović, Staša, 2016. "Vertical distribution of shallow ground thermal properties in different geological settings in Croatia," Renewable Energy, Elsevier, vol. 99(C), pages 1202-1212.
    11. Luo, Jin & Rohn, Joachim & Bayer, Manfred & Priess, Anna & Xiang, Wei, 2014. "Analysis on performance of borehole heat exchanger in a layered subsurface," Applied Energy, Elsevier, vol. 123(C), pages 55-65.
    12. Zhang, Changxing & Guo, Zhanjun & Liu, Yufeng & Cong, Xiaochun & Peng, Donggen, 2014. "A review on thermal response test of ground-coupled heat pump systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 851-867.
    13. Zhang, Donghai & Gao, Penghui & Zhou, Yang & Wang, Yijiang & Zhou, Guoqing, 2020. "An experimental and numerical investigation on temperature profile of underground soil in the process of heat storage," Renewable Energy, Elsevier, vol. 148(C), pages 1-21.
    14. Rapantova, Nada & Pospisil, Pavel & Koziorek, Jiri & Vojcinak, Petr & Grycz, David & Rozehnal, Zdenek, 2016. "Optimisation of experimental operation of borehole thermal energy storage," Applied Energy, Elsevier, vol. 181(C), pages 464-476.
    15. Nicolò Giordano & Louis Lamarche & Jasmin Raymond, 2021. "Evaluation of Subsurface Heat Capacity through Oscillatory Thermal Response Tests," Energies, MDPI, vol. 14(18), pages 1-26, September.
    16. Pasquier, Philippe, 2018. "Interpretation of the first hours of a thermal response test using the time derivative of the temperature," Applied Energy, Elsevier, vol. 213(C), pages 56-75.
    17. Jin, Guang & Li, Zheng & Guo, Shaopeng & Wu, Xuan & Wu, Wenfei & Zhang, Kai, 2020. "Thermal performance analysis of multiple borehole heat exchangers in multilayer geotechnical media," Energy, Elsevier, vol. 209(C).

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