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Evaluation and Optimization of heat Pump Combined District Heating System: A Case Study of China

Author

Listed:
  • Ling Cheng

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
    China Electric Power Research Institute, Beijing 100192, China)

  • Zesheng Yu

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China)

  • Shiyao Xia

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China)

  • Shixuan Li

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China)

  • Ye Li

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China)

  • Huan Zhang

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China)

  • Bin Li

    (China Electric Power Research Institute, Beijing 100192, China)

  • Sirui Zhang

    (China Electric Power Research Institute, Beijing 100192, China)

  • Zijian Liu

    (State Grid Beijing Electric Power Company, Beijing 100031, China)

  • Wandong Zheng

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China)

Abstract

The district heating area in China is continuously increasing, which brings an increase in district heating load. In order to solve the shortage of heating power and realize the carbon neutral target, this study proposes two retrofit schemes for district heating system by integrating air source heat pump and water source heat pump, respectively. Mathematical models are established to study the performance of the integrated systems and a bilevel optimization model is proposed to optimize them. The results show that the air source heat pump combined district heating system has better performance compared to the conventional system, which reduces 50% energy consumption, 10.8% carbon emissions and achieves better economy. The dynamic coupling property of the district heating network and power grid are also considered, and the results indicate that the introduction of air source heat pump can effectively improve the efficiency and stability of power grid and reduce the seasonal fluctuation. The potential of large-scale application of air source heat pump combined system in Beijing is evaluated. The results reveal that retrofit scheme of integrating air source heat pumps into district heating system can cover 2930 MW heating load and bring 362 million Chinese Yuan profit by reducing 219,000 tons of carbon emissions and 539,000 tons of standard coal consumption in 2025.

Suggested Citation

  • Ling Cheng & Zesheng Yu & Shiyao Xia & Shixuan Li & Ye Li & Huan Zhang & Bin Li & Sirui Zhang & Zijian Liu & Wandong Zheng, 2022. "Evaluation and Optimization of heat Pump Combined District Heating System: A Case Study of China," Energies, MDPI, vol. 15(20), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7622-:d:943185
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    References listed on IDEAS

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    1. Ziemele, Jelena & Gravelsins, Armands & Blumberga, Andra & Blumberga, Dagnija, 2017. "Combining energy efficiency at source and at consumer to reach 4th generation district heating: Economic and system dynamics analysis," Energy, Elsevier, vol. 137(C), pages 595-606.
    2. Münster, Marie & Morthorst, Poul Erik & Larsen, Helge V. & Bregnbæk, Lars & Werling, Jesper & Lindboe, Hans Henrik & Ravn, Hans, 2012. "The role of district heating in the future Danish energy system," Energy, Elsevier, vol. 48(1), pages 47-55.
    3. Jodeiri, A.M. & Goldsworthy, M.J. & Buffa, S. & Cozzini, M., 2022. "Role of sustainable heat sources in transition towards fourth generation district heating – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    4. Lund, Henrik & Østergaard, Poul Alberg & Chang, Miguel & Werner, Sven & Svendsen, Svend & Sorknæs, Peter & Thorsen, Jan Eric & Hvelplund, Frede & Mortensen, Bent Ole Gram & Mathiesen, Brian Vad & Boje, 2018. "The status of 4th generation district heating: Research and results," Energy, Elsevier, vol. 164(C), pages 147-159.
    5. Chang Su & Frauke Urban, 2021. "Carbon Neutral China by 2060: The Role of Clean Heating Systems," Energies, MDPI, vol. 14(22), pages 1-16, November.
    6. Averfalk, Helge & Werner, Sven, 2020. "Economic benefits of fourth generation district heating," Energy, Elsevier, vol. 193(C).
    7. Zhao, Ning & You, Fengqi, 2020. "Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition?," Applied Energy, Elsevier, vol. 279(C).
    8. Fangtian Sun & Yonghua Xie & Svend Svendsen & Lin Fu, 2020. "New Low-Temperature Central Heating System Integrated with Industrial Exhausted Heat Using Distributed Electric Compression Heat Pumps for Higher Energy Efficiency," Energies, MDPI, vol. 13(24), pages 1-17, December.
    9. Benoît Colson & Patrice Marcotte & Gilles Savard, 2007. "An overview of bilevel optimization," Annals of Operations Research, Springer, vol. 153(1), pages 235-256, September.
    10. Ziemele, Jelena & Gravelsins, Armands & Blumberga, Andra & Vigants, Girts & Blumberga, Dagnija, 2016. "System dynamics model analysis of pathway to 4th generation district heating in Latvia," Energy, Elsevier, vol. 110(C), pages 85-94.
    11. Lund, Henrik & Duic, Neven & Østergaard, Poul Alberg & Mathiesen, Brian Vad, 2018. "Future district heating systems and technologies: On the role of smart energy systems and 4th generation district heating," Energy, Elsevier, vol. 165(PA), pages 614-619.
    12. Zhang, Xi & Strbac, Goran & Teng, Fei & Djapic, Predrag, 2018. "Economic assessment of alternative heat decarbonisation strategies through coordinated operation with electricity system – UK case study," Applied Energy, Elsevier, vol. 222(C), pages 79-91.
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