IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i24p8108-d1301806.html
   My bibliography  Save this article

Thermal Diffusivity in the Subsoil: A Case Study in the Asturias (Northern Spain)

Author

Listed:
  • Germán Marcos-Robredo

    (Department of Energy, University of Oviedo, 33003 Oviedo, Spain)

  • María Pilar Castro-García

    (Department of Energy, University of Oviedo, 33003 Oviedo, Spain)

  • Miguel Ángel Rey-Ronco

    (Department of Energy, University of Oviedo, 33003 Oviedo, Spain)

  • Teresa Alonso-Sánchez

    (Department of Mining Exploitation and Prospecting, University of Oviedo, 33003 Oviedo, Spain)

Abstract

This study presents a novel methodology for determining the apparent thermal diffusivity of subsoil in situ, employing two heat transfer models within the subsurface: one method is based on heat conduction caused by air temperature oscillations, while the other considers heat transmission via both conduction and convection due to groundwater flow. Differential equations were solved, and non-linear regression analysis was employed. This method has direct applications in various engineering and environmental domains, such as underground transmission lines, oil and gas pipelines, radioactive waste management, and geothermal systems, especially in the context of implementing horizontal geothermal collectors (HGC). The apparent thermal diffusivity value of 1.514 × 10 −6 m 2 s −1 , within a 95% confidence interval spanning 1.512 × 10 −6 m 2 s −1 and 1.516 × 10 −6 m 2 s −1 , was obtained from the section between 1.67 and 3.86 m depth in a research borehole located in Asturias, Northern Spain, using twenty-one temperature sensors. The method allowed for the calculation of the subsoil’s apparent thermal diffusivity up to a depth of 14.55 m.

Suggested Citation

  • Germán Marcos-Robredo & María Pilar Castro-García & Miguel Ángel Rey-Ronco & Teresa Alonso-Sánchez, 2023. "Thermal Diffusivity in the Subsoil: A Case Study in the Asturias (Northern Spain)," Energies, MDPI, vol. 16(24), pages 1-20, December.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8108-:d:1301806
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/24/8108/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/24/8108/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bozzoli, F. & Pagliarini, G. & Rainieri, S. & Schiavi, L., 2011. "Estimation of soil and grout thermal properties through a TSPEP (two-step parameter estimation procedure) applied to TRT (thermal response test) data," Energy, Elsevier, vol. 36(2), pages 839-846.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Raymond, Jasmin & Lamarche, Louis & Malo, Michel, 2015. "Field demonstration of a first thermal response test with a low power source," Applied Energy, Elsevier, vol. 147(C), pages 30-39.
    2. Zhang, Changxing & Song, Wei & Liu, Yufeng & Kong, Xiangqiang & Wang, Qing, 2019. "Effect of vertical ground temperature distribution on parameter estimation of in-situ thermal response test with unstable heat rate," Renewable Energy, Elsevier, vol. 136(C), pages 264-274.
    3. Dutta, Rohan & Ghosh, Parthasarathi & Chowdhury, Kanchan, 2011. "Customization and validation of a commercial process simulator for dynamic simulation of Helium liquefier," Energy, Elsevier, vol. 36(5), pages 3204-3214.
    4. Choi, Wonjun & Kikumoto, Hideki & Choudhary, Ruchi & Ooka, Ryozo, 2018. "Bayesian inference for thermal response test parameter estimation and uncertainty assessment," Applied Energy, Elsevier, vol. 209(C), pages 306-321.
    5. Cruz-Peragón, F. & Gómez-de la Cruz, F.J. & Palomar-Carnicero, J.M. & López-García, R., 2022. "Optimal design of a hybrid ground source heat pump for an official building with thermal load imbalance and limited space for the ground heat exchanger," Renewable Energy, Elsevier, vol. 195(C), pages 381-394.
    6. Somogyi, Viola & Sebestyén, Viktor & Nagy, Georgina, 2017. "Scientific achievements and regulation of shallow geothermal systems in six European countries – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 934-952.
    7. Choi, Wonjun & Ooka, Ryozo, 2015. "Interpretation of disturbed data in thermal response tests using the infinite line source model and numerical parameter estimation method," Applied Energy, Elsevier, vol. 148(C), pages 476-488.
    8. Li, Min & Zhang, Liwen & Liu, Gang, 2020. "Step-wise algorithm for estimating multi-parameter of the ground and geothermal heat exchangers from thermal response tests," Renewable Energy, Elsevier, vol. 150(C), pages 435-442.
    9. Zhang, Xueping & Han, Zongwei & Ji, Qiang & Zhang, Hongzhi & Li, Xiuming, 2021. "Thermal response tests for the identification of soil thermal parameters: A review," Renewable Energy, Elsevier, vol. 173(C), pages 1123-1135.
    10. Li, Min & Lai, Alvin C.K., 2015. "Review of analytical models for heat transfer by vertical ground heat exchangers (GHEs): A perspective of time and space scales," Applied Energy, Elsevier, vol. 151(C), pages 178-191.
    11. Li, Min & Zhang, Liwen & Liu, Gang, 2019. "Estimation of thermal properties of soil and backfilling material from thermal response tests (TRTs) for exploiting shallow geothermal energy: Sensitivity, identifiability, and uncertainty," Renewable Energy, Elsevier, vol. 132(C), pages 1263-1270.
    12. Jensen-Page, Linden & Narsilio, Guillermo A. & Bidarmaghz, Asal & Johnston, Ian W., 2018. "Investigation of the effect of seasonal variation in ground temperature on thermal response tests," Renewable Energy, Elsevier, vol. 125(C), pages 609-619.
    13. Choi, Wonjun & Ooka, Ryozo, 2016. "Effect of disturbance on thermal response test, part 1: Development of disturbance analytical model, parametric study, and sensitivity analysis," Renewable Energy, Elsevier, vol. 85(C), pages 306-318.
    14. Zhang, Xueping & Li, Gui & Han, Zongwei & Yang, Ziwei & Bi, Weiqiang & Li, Xiuming & Yang, Lingyan, 2023. "Study on the influence of buried pipe fault on the operation of ground source heat pump system," Renewable Energy, Elsevier, vol. 210(C), pages 12-25.
    15. Jia, Jie & Lee, W.L. & Cheng, Yuanda, 2019. "Field demonstration of a first constant-temperature thermal response test with both heat injection and extraction for ground source heat pump systems," Applied Energy, Elsevier, vol. 249(C), pages 79-86.
    16. Zanchini, E. & Lazzari, S., 2013. "Temperature distribution in a field of long Borehole Heat Exchangers (BHEs) subjected to a monthly averaged heat flux," Energy, Elsevier, vol. 59(C), pages 570-580.
    17. Li, Min & Lai, Alvin C.K., 2012. "New temperature response functions (G functions) for pile and borehole ground heat exchangers based on composite-medium line-source theory," Energy, Elsevier, vol. 38(1), pages 255-263.
    18. Nian, Yong-Le & Wang, Xiang-Yang & Xie, Kun & Cheng, Wen-Long, 2020. "Estimation of ground thermal properties for coaxial BHE through distributed thermal response test," Renewable Energy, Elsevier, vol. 152(C), pages 1209-1219.
    19. Pasquier, Philippe & Marcotte, Denis, 2020. "Robust identification of volumetric heat capacity and analysis of thermal response tests by Bayesian inference with correlated residuals," Applied Energy, Elsevier, vol. 261(C).
    20. Zhang, Xueping & Han, Zongwei & Meng, Xinwei & Li, Gui & Ji, Qiang & Li, Xiuming & Yang, Lingyan, 2021. "Study on high-precision identification method of ground thermal properties based on neural network model," Renewable Energy, Elsevier, vol. 163(C), pages 1838-1848.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8108-:d:1301806. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.