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Ground-coupled heat pumps: Part 1 – Literature review and research challenges in modeling and optimal control

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  • Atam, Ercan
  • Helsen, Lieve

Abstract

In this paper, a compact overview of the state-of-the-art in modeling of ground-coupled heat pump (GCHP) systems and an in-depth review of their optimal control along with the associated research challenges are given. The main focus is on optimal control but since design of an optimal controller may require a model, a relatively short literature review of modeling approaches is also discussed. Adopting the adage “a picture is worth a thousand words”, we tried to include a minimal number of representative schematics and result figures for some of the reviewed studies for clarity and a better understanding of the presented material. In addition to the literature review, we included our comments, points of view, alternative solutions and some potential future directions. This review paper is useful both for engineers and researchers involved in modeling and optimal control of GCHP systems. The second part of the paper, “Ground-Coupled Heat Pumps: Part 2 – Literature Review and Research Challenges in Optimal Design”, focuses on the literature review on optimal design and the associated design challenges for GCHP systems.

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  • Atam, Ercan & Helsen, Lieve, 2016. "Ground-coupled heat pumps: Part 1 – Literature review and research challenges in modeling and optimal control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1653-1667.
  • Handle: RePEc:eee:rensus:v:54:y:2016:i:c:p:1653-1667
    DOI: 10.1016/j.rser.2015.10.007
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    References listed on IDEAS

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    1. Gang, Wenjie & Wang, Jinbo, 2013. "Predictive ANN models of ground heat exchanger for the control of hybrid ground source heat pump systems," Applied Energy, Elsevier, vol. 112(C), pages 1146-1153.
    2. Gang, Wenjie & Wang, Jinbo & Wang, Shengwei, 2014. "Performance analysis of hybrid ground source heat pump systems based on ANN predictive control," Applied Energy, Elsevier, vol. 136(C), pages 1138-1144.
    3. Seama Koohi-Fayegh & Marc A. Rosen, 2013. "A Review of the Modelling of Thermally Interacting Multiple Boreholes," Sustainability, MDPI, vol. 5(6), pages 1-18, June.
    4. Wu, Wei & Wang, Baolong & You, Tian & Shi, Wenxing & Li, Xianting, 2013. "A potential solution for thermal imbalance of ground source heat pump systems in cold regions: Ground source absorption heat pump," Renewable Energy, Elsevier, vol. 59(C), pages 39-48.
    5. Žáčeková, Eva & Váňa, Zdeněk & Cigler, Jiří, 2014. "Towards the real-life implementation of MPC for an office building: Identification issues," Applied Energy, Elsevier, vol. 135(C), pages 53-62.
    6. Man, Yi & Yang, Hongxing & Wang, Jinggang, 2010. "Study on hybrid ground-coupled heat pump system for air-conditioning in hot-weather areas like Hong Kong," Applied Energy, Elsevier, vol. 87(9), pages 2826-2833, September.
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    Cited by:

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    7. Dehghan B, Babak, 2018. "Thermal conductivity determination of ground by new modified two dimensional analytical models: Study cases," Renewable Energy, Elsevier, vol. 118(C), pages 393-401.
    8. Carotenuto, Alberto & Ciccolella, Michela & Massarotti, Nicola & Mauro, Alessandro, 2016. "Models for thermo-fluid dynamic phenomena in low enthalpy geothermal energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 330-355.
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    10. Atam, Ercan, 2017. "Current software barriers to advanced model-based control design for energy-efficient buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1031-1040.
    11. Atam, Ercan & Schulte, Daniel Otto & Arteconi, Alessia & Sass, Ingo & Helsen, Lieve, 2018. "Control-oriented modeling of geothermal borefield thermal dynamics through Hammerstein-Wiener models," Renewable Energy, Elsevier, vol. 120(C), pages 468-477.
    12. Gultekin, Ahmet & Aydin, Murat & Sisman, Altug, 2019. "Effects of arrangement geometry and number of boreholes on thermal interaction coefficient of multi-borehole heat exchangers," Applied Energy, Elsevier, vol. 237(C), pages 163-170.
    13. Javed, Saqib & Spitler, Jeffrey, 2017. "Accuracy of borehole thermal resistance calculation methods for grouted single U-tube ground heat exchangers," Applied Energy, Elsevier, vol. 187(C), pages 790-806.
    14. Cui, Yuanlong & Zhu, Jie & Twaha, Ssennoga & Riffat, Saffa, 2018. "A comprehensive review on 2D and 3D models of vertical ground heat exchangers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 84-114.
    15. 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).

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