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A multi-parameter estimation of layered rock-soil thermal properties of borehole heat exchanger in a stratified subsurface

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  • Zhang, Changxing
  • Xu, Chong
  • Yu, Xiaoxi
  • Lu, Jiahui
  • Liu, Yufeng
  • Sun, Shicai

Abstract

The high initial investment of borehole heat exchanger (BHE) prevents the popularization and application of ground-coupled heat pump system (GCHPs). As the premise of designing BHE, ground thermal properties are usually obtained using thermal response test (TRT), and parameter estimation method are applied based on homogeneous BHE model independent of geological stratification. In this paper, a multi-parameter estimation method using Bat algorithm (BA) is firstly proposed to obtain the layered rock-soil thermal properties based on the numerical layered BHE model, considering the characteristics of geological stratification. Then, a TRT experimental platform of three-layer BHE is developed to measure thermal responses of different stratified subsurface. Finally, the six thermal properties are obtained by the proposed multi-parameter estimation method based on BA, and their accuracy is validated using the experimental data in TRT. The five temperatures obtained from the numerical layered BHE model using the estimated results are compared with the corresponding experimental data, the results show that the maximum error of the inlet and outlet water temperatures of the BHE is respectively 3.32 % and 3.59 %, and it is 3.31 %, 2.38 % and 2.7 % for the coarse sand, fine sand and brown soil, respectively.

Suggested Citation

  • Zhang, Changxing & Xu, Chong & Yu, Xiaoxi & Lu, Jiahui & Liu, Yufeng & Sun, Shicai, 2024. "A multi-parameter estimation of layered rock-soil thermal properties of borehole heat exchanger in a stratified subsurface," Renewable Energy, Elsevier, vol. 232(C).
    • Handle: RePEc:eee:renene:v:232:y:2024:i:c:s096014812401142x
    DOI: 10.1016/j.renene.2024.121074
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    References listed on IDEAS

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    1. Zhao, Zilong & Lv, Guoquan & Xu, Yanwen & Lin, Yu-Feng & Wang, Pingfeng & Wang, Xinlei, 2024. "Enhancing ground source heat pump system design optimization: A stochastic model incorporating transient geological factors and decision variables," Renewable Energy, Elsevier, vol. 225(C).
    2. Choi, Wonjun & Menberg, Kathrin & Kikumoto, Hideki & Heo, Yeonsook & Choudhary, Ruchi & Ooka, Ryozo, 2018. "Bayesian inference of structural error in inverse models of thermal response tests," Applied Energy, Elsevier, vol. 228(C), pages 1473-1485.
    3. Deng, Zhenpeng & Nian, Yongle & Cheng, Wen-long, 2023. "Estimation method of layered ground thermal conductivity for U-tube BHE based on the quasi-3D model," Renewable Energy, Elsevier, vol. 213(C), pages 121-133.
    4. Zhang, Changxing & Song, Wei & Liu, Yufeng & Kong, Xiangqiang & Wang, Qing, 2019. "Effect of vertical ground temperature distribution on parameter estimation of in-situ thermal response test with unstable heat rate," Renewable Energy, Elsevier, vol. 136(C), pages 264-274.
    5. Yoon, Seok & Lee, Seung-Rae & Go, Gyu-Hyun, 2014. "A numerical and experimental approach to the estimation of borehole thermal resistance in ground heat exchangers," Energy, Elsevier, vol. 71(C), pages 547-555.
    6. Zhang, Changxing & Lu, Jiahui & Wang, Xinjie & Xu, Hang & Sun, Shicai, 2022. "Effect of geological stratification on estimated accuracy of ground thermal parameters in thermal response test," Renewable Energy, Elsevier, vol. 186(C), pages 585-595.
    7. Yanjun Zhang & Ling Zhou & Zhongjun Hu & Ziwang Yu & Shuren Hao & Zhihong Lei & Yangyang Xie, 2018. "Prediction of Layered Thermal Conductivity Using Artificial Neural Network in Order to Have Better Design of Ground Source Heat Pump System," Energies, MDPI, vol. 11(7), pages 1-25, July.
    8. Serageldin, Ahmed A. & Nagano, Katsunori, 2024. "A novel oscillatory thermal response test method for efficient characterization of ground thermal properties: Methodology and data analysis," Renewable Energy, Elsevier, vol. 230(C).
    9. Pasquier, Philippe & Marcotte, Denis, 2020. "Robust identification of volumetric heat capacity and analysis of thermal response tests by Bayesian inference with correlated residuals," Applied Energy, Elsevier, vol. 261(C).
    10. Zhang, Xueping & Han, Zongwei & Ji, Qiang & Zhang, Hongzhi & Li, Xiuming, 2021. "Thermal response tests for the identification of soil thermal parameters: A review," Renewable Energy, Elsevier, vol. 173(C), pages 1123-1135.
    11. Choi, Wonjun & Kikumoto, Hideki & Choudhary, Ruchi & Ooka, Ryozo, 2018. "Bayesian inference for thermal response test parameter estimation and uncertainty assessment," Applied Energy, Elsevier, vol. 209(C), pages 306-321.
    12. Zhang, Changxing & Song, Wei & Sun, Shicai & Peng, Donggen, 2015. "Parameter estimation of in-situ thermal response test with unstable heat rate," Energy, Elsevier, vol. 88(C), pages 497-505.
    13. 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.
    14. 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.
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