IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i11p2706-d1407544.html
   My bibliography  Save this article

An Intelligent Regression-Based Approach for Predicting a Geothermal Heat Exchanger’s Behavior in a Bioclimatic House Context

Author

Listed:
  • Antonio Díaz-Longueira

    (CTC Research Group, University of A Coruña, Calle Mendizábal s/n, 15403 Ferrol, Spain
    CITIC, University of A Coruña, Campus de Elviña, 15071 A Coruña, Spain
    These authors contributed equally to this work.)

  • Manuel Rubiños

    (CTC Research Group, University of A Coruña, Calle Mendizábal s/n, 15403 Ferrol, Spain
    These authors contributed equally to this work.)

  • Paula Arcano-Bea

    (CTC Research Group, University of A Coruña, Calle Mendizábal s/n, 15403 Ferrol, Spain
    These authors contributed equally to this work.)

  • Jose Luis Calvo-Rolle

    (CTC Research Group, University of A Coruña, Calle Mendizábal s/n, 15403 Ferrol, Spain
    CITIC, University of A Coruña, Campus de Elviña, 15071 A Coruña, Spain
    These authors contributed equally to this work.)

  • Héctor Quintián

    (CTC Research Group, University of A Coruña, Calle Mendizábal s/n, 15403 Ferrol, Spain
    CITIC, University of A Coruña, Campus de Elviña, 15071 A Coruña, Spain
    These authors contributed equally to this work.)

  • Francisco Zayas-Gato

    (CTC Research Group, University of A Coruña, Calle Mendizábal s/n, 15403 Ferrol, Spain
    CITIC, University of A Coruña, Campus de Elviña, 15071 A Coruña, Spain
    These authors contributed equally to this work.)

Abstract

Growing dependence on fossil fuels is one of the critical factors accelerating climate change, a global concern that can destabilize ecosystems and economies worldwide. In this context, renewable energy is emerging as a sustainable and environmentally responsible alternative. Among the options, geothermal energy stands out for its ability to provide heat and electricity consistently and efficiently, offering a feasible solution to reduce the carbon footprint and promote more sustainable development in a globalized economy. In this work, a machine learning approach is proposed to predict the behavior of a horizontal heat exchanger from a bioclimatic house. First, a correlation analysis was conducted for optimal feature selection. Then, several regression techniques were applied to predict the output temperature of the geothermal exchanger. Satisfactory prediction results were obtained in different scenarios over the whole dataset. Also, a significant correlation between several sensors was concluded.

Suggested Citation

  • Antonio Díaz-Longueira & Manuel Rubiños & Paula Arcano-Bea & Jose Luis Calvo-Rolle & Héctor Quintián & Francisco Zayas-Gato, 2024. "An Intelligent Regression-Based Approach for Predicting a Geothermal Heat Exchanger’s Behavior in a Bioclimatic House Context," Energies, MDPI, vol. 17(11), pages 1-15, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2706-:d:1407544
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/11/2706/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/11/2706/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mustafa Omer, Abdeen, 2008. "Ground-source heat pumps systems and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 344-371, February.
    2. Shortall, Ruth & Davidsdottir, Brynhildur & Axelsson, Guðni, 2015. "Geothermal energy for sustainable development: A review of sustainability impacts and assessment frameworks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 391-406.
    3. Ozgener, Leyla & Ozgener, Onder, 2009. "Monitoring of energy exergy efficiencies and exergoeconomic parameters of geothermal district heating systems (GDHSs)," Applied Energy, Elsevier, vol. 86(9), pages 1704-1711, September.
    4. Anderson, Austin & Rezaie, Behnaz, 2019. "Geothermal technology: Trends and potential role in a sustainable future," Applied Energy, Elsevier, vol. 248(C), pages 18-34.
    5. Valeria Costantini & Valentina Morando & Christopher Olk & Luca Tausch, 2022. "Fuelling the Fire: Rethinking European Policy in Times of Energy and Climate Crises," Energies, MDPI, vol. 15(20), pages 1-18, October.
    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. Soltani, M. & Moradi Kashkooli, Farshad & Souri, Mohammad & Rafiei, Behnam & Jabarifar, Mohammad & Gharali, Kobra & Nathwani, Jatin S., 2021. "Environmental, economic, and social impacts of geothermal energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    2. Aghahosseini, Arman & Breyer, Christian, 2020. "From hot rock to useful energy: A global estimate of enhanced geothermal systems potential," Applied Energy, Elsevier, vol. 279(C).
    3. Kurnia, Jundika C. & Putra, Zulfan A. & Muraza, Oki & Ghoreishi-Madiseh, Seyed Ali & Sasmito, Agus P., 2021. "Numerical evaluation, process design and techno-economic analysis of geothermal energy extraction from abandoned oil wells in Malaysia," Renewable Energy, Elsevier, vol. 175(C), pages 868-879.
    4. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    5. Sommer, Wijbrand & Valstar, Johan & Leusbrock, Ingo & Grotenhuis, Tim & Rijnaarts, Huub, 2015. "Optimization and spatial pattern of large-scale aquifer thermal energy storage," Applied Energy, Elsevier, vol. 137(C), pages 322-337.
    6. Archan Shah & Moncef Krarti & Joe Huang, 2022. "Energy Performance Evaluation of Shallow Ground Source Heat Pumps for Residential Buildings," Energies, MDPI, vol. 15(3), pages 1-25, January.
    7. Behroozeh, Samira & Hayati, Dariush & Karami, Ezatollah, 2022. "Determining and validating criteria to measure energy consumption sustainability in agricultural greenhouses," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    8. Usón, Sergio & Valero, Antonio & Correas, Luis, 2010. "Energy efficiency assessment and improvement in energy intensive systems through thermoeconomic diagnosis of the operation," Applied Energy, Elsevier, vol. 87(6), pages 1989-1995, June.
    9. Deng, Zhenpeng & Nian, Yongle & Cheng, Wen-long, 2023. "Estimation method of layered ground thermal conductivity for U-tube BHE based on the quasi-3D model," Renewable Energy, Elsevier, vol. 213(C), pages 121-133.
    10. Mehar Ullah & Daniel Gutierrez-Rojas & Eero Inkeri & Tero Tynjälä & Pedro H. J. Nardelli, 2022. "Operation of Power-to-X-Related Processes Based on Advanced Data-Driven Methods: A Comprehensive Review," Energies, MDPI, vol. 15(21), pages 1-17, October.
    11. Wang, Gaosheng & Song, Xianzhi & Shi, Yu & Yang, Ruiyue & Yulong, Feixue & Zheng, Rui & Li, Jiacheng, 2021. "Heat extraction analysis of a novel multilateral-well coaxial closed-loop geothermal system," Renewable Energy, Elsevier, vol. 163(C), pages 974-986.
    12. Bakirci, Kadir & Colak, Derya, 2012. "Effect of a superheating and sub-cooling heat exchanger to the performance of a ground source heat pump system," Energy, Elsevier, vol. 44(1), pages 996-1004.
    13. Tang, F. & Lahoori, M. & Nowamooz, H. & Rosin-Paumier, S. & Masrouri, F., 2021. "A numerical study into effects of soil compaction and heat storage on thermal performance of a Horizontal Ground Heat Exchanger," Renewable Energy, Elsevier, vol. 172(C), pages 740-752.
    14. Nguyen, Hiep V. & Law, Ying Lam E. & Alavy, Masih & Walsh, Philip R. & Leong, Wey H. & Dworkin, Seth B., 2014. "An analysis of the factors affecting hybrid ground-source heat pump installation potential in North America," Applied Energy, Elsevier, vol. 125(C), pages 28-38.
    15. Li, Biao & Han, Zongwei & Bai, Chenguang & Hu, Honghao, 2019. "The influence of soil thermal properties on the operation performance on ground source heat pump system," Renewable Energy, Elsevier, vol. 141(C), pages 903-913.
    16. Alaie, Omid & Maddahian, Reza & Heidarinejad, Ghassem, 2021. "Investigation of thermal interaction between shallow boreholes in a GSHE using the FLS-STRCM model," Renewable Energy, Elsevier, vol. 175(C), pages 1137-1150.
    17. Mohanraj, M. & Belyayev, Ye. & Jayaraj, S. & Kaltayev, A., 2018. "Research and developments on solar assisted compression heat pump systems – A comprehensive review (Part A: Modeling and modifications)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 83(C), pages 90-123.
    18. 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.
    19. Lee, Sungwon & Lee, Bumsoo, 2014. "The influence of urban form on GHG emissions in the U.S. household sector," Energy Policy, Elsevier, vol. 68(C), pages 534-549.
    20. Wang, Gang & Zhang, Zhen & Lin, Jianqing, 2024. "Multi-energy complementary power systems based on solar energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).

    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:17:y:2024:i:11:p:2706-:d:1407544. 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.