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.
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The project is supported by National Key R&D Program of China (2017YFC0702900).
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Zhang, X., Zhang, T., Jiang, Y., Li, B. (2020). A New Correcting Algorithm for Thermal Response Test Data Evaluation. In: Wang, Z., Zhu, Y., Wang, F., Wang, P., Shen, C., Liu, J. (eds) Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019). ISHVAC 2019. Environmental Science and Engineering(). Springer, Singapore. https://doi.org/10.1007/978-981-13-9520-8_98
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DOI: https://doi.org/10.1007/978-981-13-9520-8_98
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