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Numerical sensitivity analysis of thermal response tests (TRT) in energy piles

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  • Franco, A.
  • Moffat, R.
  • Toledo, M.
  • Herrera, P.

Abstract

In recent years, energy pile systems have been developed as a cost effective alternative to traditional systems. An optimal design requires good characterization of the effective thermal properties of the soil and the system, through analysis of the results of thermal response tests (TRT). However, due to the size of foundation piles, accurate estimations require tests which are excessively long for practical applications. Hence, in most situations the analysis is carried out using the results of relatively short tests, which depend upon several factors, such as pile and ground thermal properties, pile geometry, pipe configuration, etc.

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  • Franco, A. & Moffat, R. & Toledo, M. & Herrera, P., 2016. "Numerical sensitivity analysis of thermal response tests (TRT) in energy piles," Renewable Energy, Elsevier, vol. 86(C), pages 985-992.
    • Handle: RePEc:eee:renene:v:86:y:2016:i:c:p:985-992
    DOI: 10.1016/j.renene.2015.09.019
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    References listed on IDEAS

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    2. Park, Sangwoo & Lee, Seokjae & Sung, Chihun & Choi, Hangseok, 2021. "Applicability evaluation of cast-in-place energy piles based on two-year heating and cooling operation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
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    4. Aneta Sapińska-Śliwa & Tomasz Sliwa & Kazimierz Twardowski & Krzysztof Szymski & Andrzej Gonet & Paweł Żuk, 2020. "Method of Averaging the Effective Thermal Conductivity Based on Thermal Response Tests of Borehole Heat Exchangers," Energies, MDPI, vol. 13(14), pages 1-20, July.
    5. Linden Jensen-Page & Fleur Loveridge & Guillermo A. Narsilio, 2019. "Thermal Response Testing of Large Diameter Energy Piles," Energies, MDPI, vol. 12(14), pages 1-25, July.
    6. Yanjun Zhang & Ling Zhou & Zhongjun Hu & Ziwang Yu & Shuren Hao & Zhihong Lei & Yangyang Xie, 2018. "Prediction of Layered Thermal Conductivity Using Artificial Neural Network in Order to Have Better Design of Ground Source Heat Pump System," Energies, MDPI, vol. 11(7), pages 1-25, July.
    7. Cao, Ziming & Zhang, Guozhu & Liu, Yiping & Zhao, Xu & Li, Chenglin, 2022. "Influence of backfilling phase change material on thermal performance of precast high-strength concrete energy pile," Renewable Energy, Elsevier, vol. 184(C), pages 374-390.
    8. He, Yuting & Jia, Min & Li, Xiaogang & Yang, Zhaozhong & Song, Rui, 2021. "Performance analysis of coaxial heat exchanger and heat-carrier fluid in medium-deep geothermal energy development," Renewable Energy, Elsevier, vol. 168(C), pages 938-959.
    9. Ding, Xuanming & Zhang, Dingxin & Bouazza, Abdelmalek & Wang, Chenglong & Kong, Gangqiang, 2022. "Thermo-mechanical behaviour of energy piles in overconsolidated clay under various mechanical loading levels and thermal cycles," Renewable Energy, Elsevier, vol. 201(P1), pages 594-607.
    10. Sang Mu Bae & Yujin Nam & Jong Min Choi & Kwang Ho Lee & Jae Sang Choi, 2019. "Analysis on Thermal Performance of Ground Heat Exchanger According to Design Type Based on Thermal Response Test," Energies, MDPI, vol. 12(4), pages 1-16, February.
    11. Georgiadis, Konstantinos & Skordas, Dimitrios & Kamas, Ioannis & Comodromos, Emilios, 2020. "Heating and cooling induced stresses and displacements in heat exchanger piles in sand," Renewable Energy, Elsevier, vol. 147(P2), pages 2599-2617.

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