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Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 82, 2022 - Issue 1-2
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Articles

A fast numerical approach for the horizontal ground heat exchanger

Cang Tonga Institute of Building Environment and Facility Engineering, Dalian University of Technology, Liaoning, P.R. China; ORCID Iconhttps://orcid.org/0000-0002-8818-0012View further author information
ORCID Icon,
Xiangli Lia Institute of Building Environment and Facility Engineering, Dalian University of Technology, Liaoning, P.R. China; Correspondence[email protected]
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,
Xingjie Gea Institute of Building Environment and Facility Engineering, Dalian University of Technology, Liaoning, P.R. China; View further author information
,
Haichao Wanga Institute of Building Environment and Facility Engineering, Dalian University of Technology, Liaoning, P.R. China; ;b Department of Mathematics and Systems Analysis, Aalto University, School of Science, Espoo, Uusimaa, FinlandView further author information
&
Lin Duanmua Institute of Building Environment and Facility Engineering, Dalian University of Technology, Liaoning, P.R. China; View further author information
Pages 8-30 | Received 21 Sep 2021, Accepted 04 Apr 2022, Published online: 04 May 2022
 
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Abstract

A fast thermal response numerical (TRN) approach for horizontal ground heat exchanger (HGHE) was developed and verified. The shape equivalence method was used to process the shapes of pipe cross section and elbows, reducing the meshing difficulty and the grid quantity of HGHE. A series of geometric equivalent quantization values were presented. Meanwhile, a semi-analytical equation was derived to reduce the sensitivity of the TRN model to the time step. The simulation results show the calculation speed of the TRN model is 38.98 times that of the Fluent model in the same case. Furthermore, long-term operations of HGHE were simulated, revealing that the soil around HGHE has good heat recovery capacity.

Additional information

Funding

This study was supported by the National Natural Science Foundation of China (Grant No. 52078097).

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