Impact of soil model complexity on the long-term thermal performance prediction of a new shallow bore ground heat exchanger
Abstract
Shallow bore ground heat exchangers have been investigated in recent years because they have the potential to reduce the initial cost of the ground source heat pump system. Correctly modeling the transient heat transfer between the ground heat exchanger and the surrounding soil is essential for predicting a ground heat exchanger's performance. Simplification of the soil model could increase computation speed but sacrifice accuracy. This study investigates the impact of the soil model complexity on the annual performance prediction of a new shallow bore ground heat exchanger, the underground thermal battery (UTB). A simple 1D soil model and a more detailed 2D soil model were implemented, and they were validated against a 3D soil model. Overall, the resulting predictions of the UTB’s response from the 1D and 2D models to a given thermal load in different climates were compared. The results show that the root mean square differences between the hourly temperatures of the UTB during a year predicted using the two soil models range from 1.17°C to 3.39°C. As a result, the difference in the annual power consumption of the heat pump was between 0.7% and 3.4%. Furthermore, the dimensions of the UTB affected its performance, and a longermore »
- Authors:
-
[2];
[2];
[2]
- Purdue Univ., West Lafayette, IN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Office
- OSTI Identifier:
- 1782040
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Science and Technology for the Built Environment
- Additional Journal Information:
- Journal Volume: 28; Journal Issue: 6; Journal ID: ISSN 2374-4731
- Publisher:
- Taylor & Francis
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; shallow bore ground heat exchanger; ground source heat pump; soil model; numerical solutions
Citation Formats
Shi, Liang, Qu, Ming, Liu, Xiaobing, Zhang, Mingkan, and Wang, Lingshi. Impact of soil model complexity on the long-term thermal performance prediction of a new shallow bore ground heat exchanger. United States: N. p., 2021.
Web. doi:10.1080/23744731.2021.1908038.
Shi, Liang, Qu, Ming, Liu, Xiaobing, Zhang, Mingkan, & Wang, Lingshi. Impact of soil model complexity on the long-term thermal performance prediction of a new shallow bore ground heat exchanger. United States. https://doi.org/10.1080/23744731.2021.1908038
Shi, Liang, Qu, Ming, Liu, Xiaobing, Zhang, Mingkan, and Wang, Lingshi. Thu .
"Impact of soil model complexity on the long-term thermal performance prediction of a new shallow bore ground heat exchanger". United States. https://doi.org/10.1080/23744731.2021.1908038. https://www.osti.gov/servlets/purl/1782040.
@article{osti_1782040,
title = {Impact of soil model complexity on the long-term thermal performance prediction of a new shallow bore ground heat exchanger},
author = {Shi, Liang and Qu, Ming and Liu, Xiaobing and Zhang, Mingkan and Wang, Lingshi},
abstractNote = {Shallow bore ground heat exchangers have been investigated in recent years because they have the potential to reduce the initial cost of the ground source heat pump system. Correctly modeling the transient heat transfer between the ground heat exchanger and the surrounding soil is essential for predicting a ground heat exchanger's performance. Simplification of the soil model could increase computation speed but sacrifice accuracy. This study investigates the impact of the soil model complexity on the annual performance prediction of a new shallow bore ground heat exchanger, the underground thermal battery (UTB). A simple 1D soil model and a more detailed 2D soil model were implemented, and they were validated against a 3D soil model. Overall, the resulting predictions of the UTB’s response from the 1D and 2D models to a given thermal load in different climates were compared. The results show that the root mean square differences between the hourly temperatures of the UTB during a year predicted using the two soil models range from 1.17°C to 3.39°C. As a result, the difference in the annual power consumption of the heat pump was between 0.7% and 3.4%. Furthermore, the dimensions of the UTB affected its performance, and a longer UTB was less sensitive to the soil models.},
doi = {10.1080/23744731.2021.1908038},
journal = {Science and Technology for the Built Environment},
number = 6,
volume = 28,
place = {United States},
year = {Thu Apr 22 00:00:00 EDT 2021},
month = {Thu Apr 22 00:00:00 EDT 2021}
}
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