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An Influencing Parameters Analysis of District Heating Network Time Delays Based on the CFD Method

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  • Jing Zhao

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China)

  • Yu Shan

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China)

Abstract

With the expansion of cities, district heating (DH) networks are playing an increasingly important role. The energy consumption due to the time delay caused by the transport of the medium in the DH network is enormous, especially in large networks. The study of time delay is necessary for the operation and optimization of DH networks. Compared with previous studies of constant flow rates and ideal pipeline (without regard to branches, elbows, variable pipe diameters, etc), this paper simulates a DH network in Tianjin University, China, by establishing the actual engineering model in a Computational Fluid Dynamics (CFD) method to analyze the time delay. The CFD model has great advantages in terms of computational cost and application range compared to theoretical calculations. The peak-valley method was used to verify the correctness of the time delay simulation model. Results show that the time delay calculated by the CFD model is consistent with the actual time delay obtained from the measured data. Based on this model, the parameters that affect the time delay are furtherly analyzed. Four key parameters, including flow rate, pipe length, pipe diameter, and water supply temperature are summarized. The results show that the flow rate, pipe length and pipe diameter have a great influence on the time delay of the DH network, while the temperature has little effect on the time delay. The time delay of the DH network system has a significant impact and can provide services for optimal control of the system.

Suggested Citation

  • Jing Zhao & Yu Shan, 2019. "An Influencing Parameters Analysis of District Heating Network Time Delays Based on the CFD Method," Energies, MDPI, vol. 12(7), pages 1-19, April.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1297-:d:219991
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    References listed on IDEAS

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    5. Pirouti, Marouf & Bagdanavicius, Audrius & Ekanayake, Janaka & Wu, Jianzhong & Jenkins, Nick, 2013. "Energy consumption and economic analyses of a district heating network," Energy, Elsevier, vol. 57(C), pages 149-159.
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    Cited by:

    1. Tomasz Janusz Teleszewski & Dorota Anna Krawczyk & Antonio Rodero, 2019. "Reduction of Heat Losses Using Quadruple Heating Pre-Insulated Networks: A Case Study," Energies, MDPI, vol. 12(24), pages 1-12, December.
    2. Dorota Anna Krawczyk & Tomasz Janusz Teleszewski, 2019. "Reduction of Heat Losses in a Pre-Insulated Network Located in Central Poland by Lowering the Operating Temperature of the Water and the Use of Egg-shaped Thermal Insulation: A Case Study," Energies, MDPI, vol. 12(11), pages 1-12, June.
    3. Sun, Chunhua & Liu, Yiting & Cao, Shanshan & Chen, Jiali & Xia, Guoqiang & Wu, Xiangdong, 2022. "Identification of control regularity of heating stations based on cross-correlation function dynamic time delay method," Energy, Elsevier, vol. 246(C).

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