IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i14p3558-d1438760.html
   My bibliography  Save this article

Investigation of the Optimal Operation Method of the Heat Recovery Ground Source Heat Pump System Installed in an Actual Building and Evaluation of Energy Saving Effect

Author

Listed:
  • Takao Katsura

    (Faculty of Engineering, Hokkaido University, Sapporo 060-8628, Japan)

  • Yasushi Nakamura

    (Nippon Steel Engineering Co., Ltd., 1-5-1 Osaki, Shinagawa-ku, Tokyo 141-8604, Japan)

  • Tomoya Ohara

    (TEPCO Energy Partner, Inc., 8-13-1 Ginza, Chuo-ku, Tokyo 104-0061, Japan
    Former student in Graduate School of Engineering, Hokkaido University.)

  • Ken Kinouchi

    (Japan Patent Office, 3-4-3 Kasumigaseki, Chiyoda-ku, Tokyo 100-8915, Japan
    Former student in Graduate School of Engineering, Hokkaido University.)

  • Katsunori Nagano

    (Faculty of Engineering, Hokkaido University, Sapporo 060-8628, Japan)

Abstract

In this paper, a heat recovery ground source heat pump (HR-GSHP) system, in which the primary pipes of the GSHP for air conditioning and the GSHP for hot water are connected to ground heat exchangers (GHEs) and each GSHP is operated simultaneously or within a short period of time, was installed in a dormitory building on a trial basis. Then, the optimal operation method to minimize the energy consumption of the system was investigated. The operating period of the GSHP for HW was changed and simulations were conducted to determine the operating period with the lowest energy consumption, which was 8 months from April to November. Furthermore, the HR-GSHP system was operated for 8 years from 2012 to 2019, and actual measurements were carried out to verify the system performance and the energy saving effect in optimal operation. In actual operation, it was confirmed that the minimum temperature was about 10 °C or higher even when the GSHP for HW was operated year-round. Therefore, the GSHP for HW was operated year-round after the third year of operation. It was confirmed that the operation of the GSHP for HW in summer, especially in August and September when the cooling load is large, can improve the system’s efficiency by the effect of recovering cooling exhaust heat. In the eighth year of operation, when the GSHP for HW was operated most during the summer season, the system was able to reduce power consumption for air conditioning and hot water supply by approximately 17%.

Suggested Citation

  • Takao Katsura & Yasushi Nakamura & Tomoya Ohara & Ken Kinouchi & Katsunori Nagano, 2024. "Investigation of the Optimal Operation Method of the Heat Recovery Ground Source Heat Pump System Installed in an Actual Building and Evaluation of Energy Saving Effect," Energies, MDPI, vol. 17(14), pages 1-27, July.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3558-:d:1438760
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/14/3558/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/14/3558/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Luo, Jin & Zhao, Haifeng & Jia, Jia & Xiang, Wei & Rohn, Joachim & Blum, Philipp, 2017. "Study on operation management of borehole heat exchangers for a large-scale hybrid ground source heat pump system in China," Energy, Elsevier, vol. 123(C), pages 340-352.
    2. Weeratunge, Hansani & Narsilio, Guillermo & de Hoog, Julian & Dunstall, Simon & Halgamuge, Saman, 2018. "Model predictive control for a solar assisted ground source heat pump system," Energy, Elsevier, vol. 152(C), pages 974-984.
    3. Naicker, Selvaraj S. & Rees, Simon J., 2020. "Long-term high frequency monitoring of a large borehole heat exchanger array," Renewable Energy, Elsevier, vol. 145(C), pages 1528-1542.
    4. Yao, Shuai & Wu, Jianzhong & Qadrdan, Meysam, 2024. "A state-of-the-art analysis and perspectives on the 4th/5th generation district heating and cooling systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    5. Kindaichi, Sayaka & Nishina, Daisaku, 2018. "Simple index for onsite operation management of ground source heat pump systems in cooling-dominant regions," Renewable Energy, Elsevier, vol. 127(C), pages 182-194.
    6. Wang, Yang & Gillich, Aaron & LU, Daisy & Saber, Esmail Mahmoudi & Yebiyo, Metkel & Kang, Ren & Ford, Andy & Hewitt, Mark, 2021. "Performance prediction and evaluation on the first balanced energy networks (BEN) part I: BEN and building internal factors," Energy, Elsevier, vol. 221(C).
    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. Naili, Nabiha & Kooli, Sami, 2021. "Solar-assisted ground source heat pump system operated in heating mode: A case study in Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    2. Zhi, Chengqiang & Zhou, Xiang & Hong, Xiaoyu & Wang, Aoxue & Ye, Wei & Zhang, Xu & Chen, Hongxin, 2025. "Field study of the long-term performance and reliability of large-scale ground source heat pump systems applied to a mixed-use complex of buildings," Renewable Energy, Elsevier, vol. 241(C).
    3. Yanfeng Liu & Yaxing Wang & Xi Luo, 2020. "Design and Operation Optimization of Distributed Solar Energy System Based on Dynamic Operation Strategy," Energies, MDPI, vol. 14(1), pages 1-26, December.
    4. Serra, Adrià & Ortiz, Alberto & Cortés, Pau Joan & Canals, Vincent, 2025. "Explainable district heating load forecasting by means of a reservoir computing deep learning architecture," Energy, Elsevier, vol. 318(C).
    5. Wan, Xin & Luo, Xiong-Lin, 2020. "Economic optimization of chemical processes based on zone predictive control with redundancy variables," Energy, Elsevier, vol. 212(C).
    6. Dongsu Kim & Jongman Lee & Sunglok Do & Pedro J. Mago & Kwang Ho Lee & Heejin Cho, 2022. "Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends," Energies, MDPI, vol. 15(19), pages 1-30, October.
    7. Joanna Piotrowska-Woroniak & Tomasz Szul & Grzegorz Woroniak, 2023. "Application of a Model Based on Rough Set Theory (RST) for Estimating the Temperature of Brine from Vertical Ground Heat Exchangers (VGHE) Operated with a Heat Pump—A Case Study," Energies, MDPI, vol. 16(20), pages 1-12, October.
    8. Li, Fenglei & Chang, Zhao & Li, Xinchang & Tian, Qi, 2018. "Energy and exergy analyses of a solar-driven ejector-cascade heat pump cycle," Energy, Elsevier, vol. 165(PB), pages 419-431.
    9. Xia, Lei & Ma, Zhenjun & Kokogiannakis, Georgios & Wang, Shugang & Gong, Xuemei, 2018. "A model-based optimal control strategy for ground source heat pump systems with integrated solar photovoltaic thermal collectors," Applied Energy, Elsevier, vol. 228(C), pages 1399-1412.
    10. Jin, Guang & Li, Zheng & Guo, Shaopeng & Wu, Xuan & Wu, Wenfei & Zhang, Kai, 2020. "Thermal performance analysis of multiple borehole heat exchangers in multilayer geotechnical media," Energy, Elsevier, vol. 209(C).
    11. Brown, C.S. & Kolo, I. & Lyden, A. & Franken, L. & Kerr, N. & Marshall-Cross, D. & Watson, S. & Falcone, G. & Friedrich, D. & Diamond, J., 2024. "Assessing the technical potential for underground thermal energy storage in the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    12. Sun, Yuying & Song, Jianhang & Wang, Shuofeng & Wang, Wei & Li, Huai & Wei, Wenzhe & Li, Xintian, 2025. "An online simulation-based collaborative optimization control method for solar thermal energy, heat pumps and building operations," Renewable Energy, Elsevier, vol. 243(C).
    13. Haijiang Zou & Siyu Guo & Ruifeng Wang & Fenghao Wang & Zhenxing Shen & Wanlong Cai, 2023. "Numerical Investigation of the Long-Term Load Shifting Behaviors within the Borehole Heat Exchanger Array System," Energies, MDPI, vol. 16(5), pages 1-19, March.
    14. Yao, Shuai & Wu, Jianzhong & Qadrdan, Meysam, 2024. "A state-of-the-art analysis and perspectives on the 4th/5th generation district heating and cooling systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    15. Fan, Yi & Zhao, Xudong & Li, Jing & Cheng, Yuanda & Badiei, Ali & Zhou, Jinzhi & Yu, Min & Li, Guiqiang & Du, Zhenyu & Ji, Jie & Zhu, Zishang & Ma, Xiaoli & Bai, Huifeng & Myers, Steve, 2020. "Operational performance of a novel fast-responsive heat storage/exchanging unit (HSEU) for solar heating systems," Renewable Energy, Elsevier, vol. 151(C), pages 137-151.
    16. Noye, Sarah & Mulero Martinez, Rubén & Carnieletto, Laura & De Carli, Michele & Castelruiz Aguirre, Amaia, 2022. "A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    17. Ma, Zhenjun & Xia, Lei & Gong, Xuemei & Kokogiannakis, Georgios & Wang, Shugang & Zhou, Xinlei, 2020. "Recent advances and development in optimal design and control of ground source heat pump systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    18. Yu Zhou & Guillermo A. Narsilio & Kenichi Soga & Lu Aye, 2024. "Achieving Pareto Optimum for Hybrid Geothermal–Solar (PV)–Gas Heating Systems: Minimising Lifecycle Cost and Greenhouse Gas Emissions," Sustainability, MDPI, vol. 16(15), pages 1-26, August.
    19. Ying Cao & Zhibin Zhang & Guosheng Jia & Jianyu Zhai & Jianke Hao & Meng Zhang & Liwen Jin, 2025. "Performance Prediction and Analysis of Solar-Assisted Ground-Source Heat Pump Systems in Typical Rural Areas, China," Energies, MDPI, vol. 18(9), pages 1-21, April.
    20. Paul Christodoulides & Christakis Christou & Georgios A. Florides, 2024. "Ground Source Heat Pumps in Buildings Revisited and Prospects," Energies, MDPI, vol. 17(13), pages 1-36, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:14:p:3558-:d:1438760. 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.