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Parameter estimation of in-situ thermal response test with unstable heat rate

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  • Zhang, Changxing
  • Song, Wei
  • Sun, Shicai
  • Peng, Donggen

Abstract

This paper proposed the history-independent algorithm based on CSM (cylindrical source model) in the TRT (thermal response test) with unstable heat rate. It achieved a faster computing speed and more accurate results than the usual superposition algorithms in processing variable heat rate problem. In order to alleviate ill-posed problem and improve the reliability of parameter estimation, a Matlab program was compiled to perform inversion calculation to obtain the ground thermal properties based on the SAA (simulated annealing algorithm) with preset lower and upper bounds for estimated parameters. The estimated ground thermal conductivity and volumetric heat capacity from in-situ TRT with unstable heat rate (case A) showed closest agreement with those (case B) evaluated by the LSM estimation method, and calculated water temperatures corresponding to estimated results agreed well with the measured water temperature. Based on SAA coupled with the history-independent mathematical algorithm in in-situ TRT with unstable heat rate, TRT can be performed continuously, independent of power fluctuation with both time and cost saved.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:88:y:2015:i:c:p:497-505
    DOI: 10.1016/j.energy.2015.05.074
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    Cited by:

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    5. 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.
    6. Jin Luo & Yuhao Zhang & Jiasheng Tuo & Wei Xue & Joachim Rohn & Sebastian Baumgärtel, 2020. "A Novel Approach to the Analysis of Thermal Response Test (TRT) with Interrupted Power Input," Energies, MDPI, vol. 13(19), pages 1-14, September.
    7. 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).
    8. Li, Biao & Han, Zongwei & Hu, Honghao & Bai, Chenguang, 2020. "Study on the effect of groundwater flow on the identification of thermal properties of soils," Renewable Energy, Elsevier, vol. 147(P2), pages 2688-2695.
    9. 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.
    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. Song, Wei & Wang, Jing & Jin, Yue & Zheng, Changjin & Zhang, Bo, 2023. "Optimization of the thermal response test under voltage fluctuations based on the infinite line source model," Renewable Energy, Elsevier, vol. 203(C), pages 731-740.
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    13. Zhang, Changxing & Xu, Hang & Fan, Jianhua & Sun, Pengkun & Sun, Shicai & Kong, Xiangqiang, 2020. "The coupled two-step parameter estimation procedure for borehole thermal resistance in thermal response test," Renewable Energy, Elsevier, vol. 154(C), pages 672-683.
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