A radial model for fast analysis of thermal pile heat exchangers
A radial model for fast analysis of thermal pile heat exchangers
Energy piles offer an effective way to decarbonise heating and cooling via exchange of heat through the deep foundations of a building or other structure. However, efficient analysis methods are required to allow energy performance to be determined in a way compatible with building energy design and energy system design approaches. We test a fast run time analytical model (the Claesson-Javed radial model) that retains a physical basis linked to the energy pile geometry, while making simplifications to permit a radial approximation to be used. We also present validation G-functions from the model development processes that have been derived from 2D and 3D numerical simulation.
Woodman, Nicholas
9870f75a-6d12-4815-84b8-6610e657a6ad
Loveridge, Fleur
fb5b7ad9-d1b8-40d3-894b-bccedf0e8a77
Javed, Saqib
cf0a5b6e-8389-4288-bb5f-2e75487eb918
Claesson, Johan
a69ef5ff-921e-4f70-96fb-3a3eee30bd0a
Woodman, Nicholas
9870f75a-6d12-4815-84b8-6610e657a6ad
Loveridge, Fleur
fb5b7ad9-d1b8-40d3-894b-bccedf0e8a77
Javed, Saqib
cf0a5b6e-8389-4288-bb5f-2e75487eb918
Claesson, Johan
a69ef5ff-921e-4f70-96fb-3a3eee30bd0a
(2022)
A radial model for fast analysis of thermal pile heat exchangers.
University of Leeds
doi:10.5518/1167
[Dataset]
Abstract
Energy piles offer an effective way to decarbonise heating and cooling via exchange of heat through the deep foundations of a building or other structure. However, efficient analysis methods are required to allow energy performance to be determined in a way compatible with building energy design and energy system design approaches. We test a fast run time analytical model (the Claesson-Javed radial model) that retains a physical basis linked to the energy pile geometry, while making simplifications to permit a radial approximation to be used. We also present validation G-functions from the model development processes that have been derived from 2D and 3D numerical simulation.
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Published date: 2022
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Local EPrints ID: 471843
URI: http://eprints.soton.ac.uk/id/eprint/471843
PURE UUID: e68572e3-37b0-41d7-b6ae-d9837844f816
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Date deposited: 21 Nov 2022 17:56
Last modified: 06 May 2023 01:42
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Contributors
Contributor:
Saqib Javed
Contributor:
Johan Claesson
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