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A New Correcting Algorithm for Thermal Response Test Data Evaluation

  • Xuedan ZhangEmail author
  • Tiantian Zhang
  • Yiqiang Jiang
  • Bingxi Li
Conference paper
  • 269 Downloads
Part of the Environmental Science and Engineering book series (ESE)

Abstract

Thermal Response Test (TRT) has become a very popular method of evaluating geothermal properties for ground-coupled heat pump systems. However, a test must be carried out under certain operating conditions of the project it serves, which is a strong restriction to its standardization. Few studies have previously focused on how to deal with TRT results in alternative conditions. Based on line source model, the influences of different factors on TRT results were analyzed, and a new algorithm for correcting TRT results was developed in this paper. The algorithm was applied to a case study, and the results calculated using the new algorithm show that thermal conductivity difference before and after comparison changed from −0.97 W/(m K) to 0.10 W/(m K) at different test conditions, and the relative error between the corrected values of ground thermal conductivity was reduced to 4.63%. Therefore, the new proposed correcting algorithm provides reference to the standardization of TRT and the generalization of test conditions, which can help save test time and cost caused by repeating tests.

Keywords

Thermal response test Correcting algorithm Test duration Test conditions Heat transfer 

Notes

Acknowledgements

The project is supported by National Key R&D Program of China (2017YFC0702900).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Energy Science and EngineeringHarbin Institute of TechnologyHarbinChina
  2. 2.School of ArchitectureHarbin Institute of TechnologyHarbinChina
  3. 3.Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and TechnologyMinistry of Industry and Information TechnologyHarbinPeople’s Republic of China

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