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Effect of disturbance on thermal response test, part 1: Development of disturbance analytical model, parametric study, and sensitivity analysis

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  • Choi, Wonjun
  • Ooka, Ryozo

Abstract

To interpret thermal response tests (TRTs), analytical models that assume constant heat flux from the source are widely used because of their simplicity. However, in actual field conditions, the constant heat flux assumption is violated by the heat exchange between the above-ground TRT setup and outdoor environment. This results in perturbations in the temperature response and causes fluctuations in estimation and consequent estimation errors in the interpretation of TRTs. For a better design of experiments and obtaining quality data from a TRT, a systematic analysis of the disturbance factors is important. In this study, we developed an analytical model that describes the heat exchange in an above-ground TRT setup. On the basis of this model, a parametric study and sensitivity analysis were conducted in a systematic manner using disturbance-related parameters, such as test settings (heat injection rate and flow rate), above-ground connecting circuit parameters (insulation thickness, length, and radiation absorptivity), temperature of fluid, and weather conditions (solar irradiation, environmental temperature, and wind velocity). The above-ground circuit length and parameters related to radiative heat transfer showed the highest sensitivity coefficients. Based on the results, some suggestions are provided for experimenters on designing TRT setups and conducting TRTs to obtain quality data.

Suggested Citation

  • Choi, Wonjun & Ooka, Ryozo, 2016. "Effect of disturbance on thermal response test, part 1: Development of disturbance analytical model, parametric study, and sensitivity analysis," Renewable Energy, Elsevier, vol. 85(C), pages 306-318.
    • Handle: RePEc:eee:renene:v:85:y:2016:i:c:p:306-318
    DOI: 10.1016/j.renene.2015.06.042
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    2. 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.
    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.
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    5. Choi, Wonjun & Ooka, Ryozo, 2016. "Effect of disturbance on thermal response test, part 2: Numerical study of applicability and limitation of infinite line source model for interpretation under disturbance from outdoor environment," Renewable Energy, Elsevier, vol. 85(C), pages 1090-1105.
    6. 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.
    7. 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.
    8. 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.
    9. Choi, Wonjun & Ooka, Ryozo, 2016. "Effect of natural convection on thermal response test conducted in saturated porous formation: Comparison of gravel-backfilled and cement-grouted borehole heat exchangers," Renewable Energy, Elsevier, vol. 96(PA), pages 891-903.
    10. Yongjie Ma & Yanjun Zhang & Yuxiang Cheng & Yu Zhang & Xuefeng Gao & Hao Deng & Xin Zhang, 2022. "Influence of Different Heat Loads and Durations on the Field Thermal Response Test," Energies, MDPI, vol. 15(22), pages 1-17, November.

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