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Estimation of ground thermal properties for coaxial BHE through distributed thermal response test

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  • Nian, Yong-Le
  • Wang, Xiang-Yang
  • Xie, Kun
  • Cheng, Wen-Long

Abstract

Ground thermal properties (thermal conductivity and heat capacity) are the key parameters for design of borehole heat exchanger (BHE) in ground source heat pump (GSHP). This study presented a novel sequential estimation for ground thermal properties of coaxial BHE by using distributed thermal response test (DTRT) data. Firstly, a comprehensive heat transfer model for coaxial BHE was built to obtain the vertical temperature files. Then a new sensitivity analysis using Spearman correlation method was performed to obtain the correlation between the thermal properties and fluid vertical temperature, determining the estimation sequence. Lastly, according to the sequence, Monte Carlo stochastic method was used to estimate the thermal properties by applying the DTRT data. In addition, the effect of borehole depth and random samples on estimations was investigated. The simulations revealed that the heat input into BHE was mainly used to heat the circulating fluid during the earlier time. It was found that the estimation steps following the thermal conductivity first, then heat capacity got higher precision than other estimation steps with 0.6% and 4% respectively for the two parameters. In addition, the effect of borehole depth on estimation error could be eliminated by using the DTRT data.

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  • Nian, Yong-Le & Wang, Xiang-Yang & Xie, Kun & Cheng, Wen-Long, 2020. "Estimation of ground thermal properties for coaxial BHE through distributed thermal response test," Renewable Energy, Elsevier, vol. 152(C), pages 1209-1219.
  • Handle: RePEc:eee:renene:v:152:y:2020:i:c:p:1209-1219
    DOI: 10.1016/j.renene.2020.02.006
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    References listed on IDEAS

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    1. Cheng, Wen-Long & Nian, Yong-Le & Li, Tong-Tong & Wang, Chang-Long, 2014. "A novel method for predicting spatial distribution of thermal properties and oil saturation of steam injection well from temperature logs," Energy, Elsevier, vol. 66(C), pages 898-906.
    2. Cheng, Wen-Long & Nian, Yong-Le & Li, Tong-Tong & Wang, Chang-Long, 2013. "Estimation of oil reservoir thermal properties through temperature log data using inversion method," Energy, Elsevier, vol. 55(C), pages 1186-1195.
    3. Li, Min & Zhang, Liwen & Liu, Gang, 2019. "Estimation of thermal properties of soil and backfilling material from thermal response tests (TRTs) for exploiting shallow geothermal energy: Sensitivity, identifiability, and uncertainty," Renewable Energy, Elsevier, vol. 132(C), pages 1263-1270.
    4. Li, Biao & Han, Zongwei & Bai, Chenguang & Hu, Honghao, 2019. "The influence of soil thermal properties on the operation performance on ground source heat pump system," Renewable Energy, Elsevier, vol. 141(C), pages 903-913.
    5. Beier, Richard A., 2011. "Vertical temperature profile in ground heat exchanger during in-situ test," Renewable Energy, Elsevier, vol. 36(5), pages 1578-1587.
    6. Roth, P. & Georgiev, A. & Busso, A. & Barraza, E., 2004. "First in situ determination of ground and borehole thermal properties in Latin America," Renewable Energy, Elsevier, vol. 29(12), pages 1947-1963.
    7. 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.
    8. Bozzoli, F. & Pagliarini, G. & Rainieri, S. & Schiavi, L., 2011. "Estimation of soil and grout thermal properties through a TSPEP (two-step parameter estimation procedure) applied to TRT (thermal response test) data," Energy, Elsevier, vol. 36(2), pages 839-846.
    9. Li, Min & Lai, Alvin C.K., 2015. "Review of analytical models for heat transfer by vertical ground heat exchangers (GHEs): A perspective of time and space scales," Applied Energy, Elsevier, vol. 151(C), pages 178-191.
    10. Acuña, José & Palm, Björn, 2013. "Distributed thermal response tests on pipe-in-pipe borehole heat exchangers," Applied Energy, Elsevier, vol. 109(C), pages 312-320.
    11. Nian, Yong-Le & Cheng, Wen-Long, 2018. "Insights into geothermal utilization of abandoned oil and gas wells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 44-60.
    12. Lucia, Umberto & Simonetti, Marco & Chiesa, Giacomo & Grisolia, Giulia, 2017. "Ground-source pump system for heating and cooling: Review and thermodynamic approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 867-874.
    13. Cheng, Wenlong & Ma, Ran & Xie, Kun & Liu, Na & Huang, Yonghua, 2011. "Simultaneous measurement of thermal properties by thermal probe using stochastic approximation method," Applied Energy, Elsevier, vol. 88(5), pages 1834-1840, May.
    14. Holmberg, Henrik & Acuña, José & Næss, Erling & Sønju, Otto K., 2016. "Thermal evaluation of coaxial deep borehole heat exchangers," Renewable Energy, Elsevier, vol. 97(C), pages 65-76.
    15. Choi, Wonjun & Ooka, Ryozo, 2015. "Interpretation of disturbed data in thermal response tests using the infinite line source model and numerical parameter estimation method," Applied Energy, Elsevier, vol. 148(C), pages 476-488.
    16. 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.
    17. 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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    3. 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.
    4. Bulmez, A.M. & Ciofoaia, V. & Năstase, G. & Dragomir, G. & Brezeanu, A.I. & Şerban, A., 2022. "An experimental work on the performance of a solar-assisted ground-coupled heat pump using a horizontal ground heat exchanger," Renewable Energy, Elsevier, vol. 183(C), pages 849-865.
    5. Joanna Piotrowska-Woroniak, 2021. "Assessment of Ground Regeneration around Borehole Heat Exchangers between Heating Seasons in Cold Climates: A Case Study in Bialystok (NE, Poland)," Energies, MDPI, vol. 14(16), pages 1-32, August.
    6. Changlong Wang & Qiang Fu & Han Fang & Jinli Lu, 2022. "Estimation of Ground Thermal Properties of Shallow Coaxial Borehole Heat Exchanger Using an Improved Parameter Estimation Method," Sustainability, MDPI, vol. 14(12), pages 1-12, June.

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