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Optimizing the pressure drop per unit length of district heating piping networks from an environmental perspective

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  • Jie, Pengfei
  • Zhao, Wanyue
  • Li, Fating
  • Wei, Fengjun
  • Li, Jing

Abstract

The annual environmental impact of district heating (DH) piping networks was minimized by optimizing the pressure drop per unit length (PDPUL) of DH piping networks. An optimization model was developed to determine the optimal PDPUL and minimum annual total environmental impact (ATEI) of DH piping networks. An existing DH system in Yanan, China, was selected as a case study. Heat sources, operating strategies and design temperature regimes were considered in the calculations. Sensitivity analysis was conducted to analyze the effect of pump efficiency, heat source environmental impact point, electricity environmental impact point and service life of piping network on the optimization results. Results demonstrate that the optimization model can be used to determine the optimal PDPUL and minimum ATEI. Coal-fired combined heat and power plant (CFCHPP) and variable mass flow rate (MFR) operating strategies yield better environmental performance, respectively. However, reducing the design heat medium temperature is not beneficial to environment. Sensitivity analysis results show that the electricity environmental impact point and heat source environmental impact point have the greatest impact on the optimal PDPUL and minimum ATEI, respectively. The service life of piping network has the least effect on the optimal PDPUL and minimum ATEI.

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  • Jie, Pengfei & Zhao, Wanyue & Li, Fating & Wei, Fengjun & Li, Jing, 2020. "Optimizing the pressure drop per unit length of district heating piping networks from an environmental perspective," Energy, Elsevier, vol. 202(C).
    • Handle: RePEc:eee:energy:v:202:y:2020:i:c:s036054422030788x
    DOI: 10.1016/j.energy.2020.117681
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    Cited by:

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    2. Liu, Zhikai & Zhang, Huan & Wang, Yaran & Jiang, Yan & He, Zhihao & Zhou, Pengkun, 2023. "An adaptive double-Newton-iteration hydraulic calculation method for optimal operation of the meshed district heating network," Energy, Elsevier, vol. 272(C).
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    4. Buonomano, A. & Forzano, C. & Mongibello, L. & Palombo, A. & Russo, G., 2024. "Optimising low-temperature district heating networks: A simulation-based approach with experimental verification," Energy, Elsevier, vol. 304(C).
    5. Xu, Han & Zhang, Lu & Wang, Xuanbo & Han, Baocheng & Luo, Zhengyuan & Bai, Bofeng, 2024. "Improved genetic algorithm for pipe diameter optimization of an existing large-scale district heating network," Energy, Elsevier, vol. 304(C).

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