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Study on the influence of buried pipe fault on the operation of ground source heat pump system

Author

Listed:
  • Zhang, Xueping
  • Li, Gui
  • Han, Zongwei
  • Yang, Ziwei
  • Bi, Weiqiang
  • Li, Xiuming
  • Yang, Lingyan

Abstract

In order to analyze the influence of fault buried pipes on the operation of ground source heat pump system, a simulation model of unit considering both the influence of inlet fluid flow and temperature is developed, which is coupled with the three-dimensional dynamic model of 3 × 3 pipe group. The results show that the influence degree caused by different blocked positions is basically same. When one, two and a group of pipes are blocked, the annual power consumption of unit increases by 3.78%, 8.81% and 15.91% respectively. Besides, the system annual average coefficient of performance decreases from 3.28 to 3.21, 3.12 and 2.98. The ratio of cooling to heating load demands studied is 1.44, and the pipe blockage exacerbates the soil thermal imbalance, which cause a continuous deterioration of cooling performance. When the cooling load is high, the system is difficult to meet the demand. Because of design margin of total length, the time for not meeting the cooling demand after blocking one pipe is the same as normal condition, but the time after blocking two and a group of pipes increases 37.5 h and 88.5 h. Moreover, the amount for not meeting the demand increases 25.4%, 52.11% and 129.94% on average respectively.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:210:y:2023:i:c:p:12-25
    DOI: 10.1016/j.renene.2023.04.039
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    References listed on IDEAS

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    1. Han, Zongwei & Xue, Da & Wei, Haotian & Ji, Qiang & Sun, Xiaoqing & Li, Xiuming, 2021. "Study on operation strategy of evaporative cooling composite air conditioning system in data center," Renewable Energy, Elsevier, vol. 177(C), pages 1147-1160.
    2. 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.
    3. 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.
    4. Liebel, Heiko T. & Javed, Saqib & Vistnes, Gunnar, 2012. "Multi-injection rate thermal response test with forced convection in a groundwater-filled borehole in hard rock," Renewable Energy, Elsevier, vol. 48(C), pages 263-268.
    5. Han, Zongwei & Ji, Qiang & Wei, Haotian & Xue, Da & Sun, Xiaoqing & Zhang, Xueping & Li, Xiuming, 2020. "Simulation study on performance of data center air-conditioning system with novel evaporative condenser," Energy, Elsevier, vol. 210(C).
    6. Ürge-Vorsatz, Diana & Cabeza, Luisa F. & Serrano, Susana & Barreneche, Camila & Petrichenko, Ksenia, 2015. "Heating and cooling energy trends and drivers in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 85-98.
    7. 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.
    8. Zhang, Xueping & Han, Zongwei & Li, Gui & Li, Xiuming, 2022. "Effect of temperature measurement error on parameters estimation accuracy for thermal response tests," Renewable Energy, Elsevier, vol. 185(C), pages 230-240.
    9. 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.
    10. Capozza, Antonio & De Carli, Michele & Zarrella, Angelo, 2013. "Investigations on the influence of aquifers on the ground temperature in ground-source heat pump operation," Applied Energy, Elsevier, vol. 107(C), pages 350-363.
    11. 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).
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    2. 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).

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