Alberdi-Pagola, M, Erbs Poulsen, S, Loveridge, F orcid.org/0000-0002-6688-6305 et al. (2 more authors) (2018) Comparing heat flow models for interpretation of precast quadratic pile heat exchanger thermal response tests. Energy, 145. pp. 721-733. ISSN 0360-5442
Abstract
This paper investigates the applicability of currently available analytical, empirical and numerical heat flow models for interpreting thermal response tests (TRT) of quadratic cross section precast pile heat exchangers. A 3D finite element model (FEM) is utilised for interpreting five TRTs by inverse modelling. The calibrated estimates of soil and concrete thermal conductivity are consistent with independent laboratory measurements. Due to the computational cost of inverting the 3D model, simpler models are utilised in additional calibrations. Interpretations based on semi-empirical pile G-functions yield soil thermal conductivity estimates statistically similar to those obtained from the 3D FEM inverse modelling, given minimum testing times of 60 hours. Reliable estimates of pile thermal resistance can only be obtained from type curves computed with 3D FEM models. This study highlights the potential of applying TRTs for sizing quadratic, precast pile heat exchanger foundations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017, Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Energy. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Thermal response test; pile heat exchanger; heat flow model; inverse modelling; thermal conductivity; pile thermal resistance |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Funding Information: | Funder Grant number Royal Academy of Engineering RF116 |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Jan 2018 17:17 |
Last Modified: | 28 Dec 2018 01:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.energy.2017.12.104 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:125730 |