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Adaptive management of borehole heat exchanger fields under transient groundwater flow conditions

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  • Soltan Mohammadi, Hesam
  • Ringel, Lisa Maria
  • Bott, Christoph
  • Bayer, Peter

Abstract

Uncontrolled heat extraction by multiple interacting borehole heat exchangers (BHEs) in high-density energy-use districts can lead to undesirable thermal conditions in the subsurface which can affect both system performance and regulatory compliance. The difficulty in controlling heat extraction arises in particular from predictive uncertainties, such as when forecasting trends in energy demand or groundwater flow. In this study, a combined simulation-calibration-optimization framework is introduced to consider BHE fields with the presence of a transient groundwater flow regime. In the first part, a semi-analytical modeling technique is proposed based on temporal superpositioning of variable flow conditions. Two synthetic case studies verify its accuracy under different groundwater fluctuation patterns. The mean absolute error of the proposed model in comparison to numerical calculation does not exceed 0.18 K over ten years of operation. In the second part, the model is augmented by a parameter estimation algorithm that is employed for continuous model updating. The benefit of resolving transient flow conditions is demonstrated by using this approach for monthly optimization of individual BHE heat extraction. The result of dynamic optimization compared to a synthetic case without calibration shows a 10 % lower imposed temperature change in the subsurface.

Suggested Citation

  • Soltan Mohammadi, Hesam & Ringel, Lisa Maria & Bott, Christoph & Bayer, Peter, 2024. "Adaptive management of borehole heat exchanger fields under transient groundwater flow conditions," Renewable Energy, Elsevier, vol. 234(C).
  • Handle: RePEc:eee:renene:v:234:y:2024:i:c:s0960148124011285
    DOI: 10.1016/j.renene.2024.121060
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    References listed on IDEAS

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    1. Spitler, Jeffrey D. & Gehlin, Signhild E.A., 2015. "Thermal response testing for ground source heat pump systems—An historical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1125-1137.
    2. Zhao, Zilong & Lin, Yu-Feng & Stumpf, Andrew & Wang, Xinlei, 2022. "Assessing impacts of groundwater on geothermal heat exchangers: A review of methodology and modeling," Renewable Energy, Elsevier, vol. 190(C), pages 121-147.
    3. Susanne A. Benz & Kathrin Menberg & Peter Bayer & Barret L. Kurylyk, 2022. "Shallow subsurface heat recycling is a sustainable global space heating alternative," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    4. Lee, C.K., 2011. "Effects of multiple ground layers on thermal response test analysis and ground-source heat pump simulation," Applied Energy, Elsevier, vol. 88(12), pages 4405-4410.
    5. Javadi, Hossein & Mousavi Ajarostaghi, Seyed Soheil & Rosen, Marc A. & Pourfallah, Mohsen, 2019. "Performance of ground heat exchangers: A comprehensive review of recent advances," Energy, Elsevier, vol. 178(C), pages 207-233.
    6. 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.
    7. Li, Wenxin & Li, Xiangdong & Peng, Yuanling & Wang, Yong & Tu, Jiyuan, 2020. "Experimental and numerical studies on the thermal performance of ground heat exchangers in a layered subsurface with groundwater," Renewable Energy, Elsevier, vol. 147(P1), pages 620-629.
    8. Deng, Fengqiang & Li, Wei & Pei, Peng & Wang, Lin & Ren, Yonglin, 2024. "Study on design and calculation method of borehole heat exchangers based on seasonal patterns of groundwater," Renewable Energy, Elsevier, vol. 220(C).
    9. Zhang, Changxing & Lu, Jiahui & Wang, Xinjie & Xu, Hang & Sun, Shicai, 2022. "Effect of geological stratification on estimated accuracy of ground thermal parameters in thermal response test," Renewable Energy, Elsevier, vol. 186(C), pages 585-595.
    10. Bayer, Peter & de Paly, Michael & Beck, Markus, 2014. "Strategic optimization of borehole heat exchanger field for seasonal geothermal heating and cooling," Applied Energy, Elsevier, vol. 136(C), pages 445-453.
    11. Beck, Markus & Bayer, Peter & de Paly, Michael & Hecht-Méndez, Jozsef & Zell, Andreas, 2013. "Geometric arrangement and operation mode adjustment in low-enthalpy geothermal borehole fields for heating," Energy, Elsevier, vol. 49(C), pages 434-443.
    12. Ikeda, Shintaro & Choi, Wonjun & Ooka, Ryozo, 2017. "Optimization method for multiple heat source operation including ground source heat pump considering dynamic variation in ground temperature," Applied Energy, Elsevier, vol. 193(C), pages 466-478.
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