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Leak detection of long-distance district heating pipeline: A hydraulic transient model-based approach

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  • Zheng, Xuejing
  • Hu, Fangshu
  • Wang, Yaran
  • Zheng, Lijun
  • Gao, Xinyong
  • Zhang, Huan
  • You, Shijun
  • Xu, Boxiao

Abstract

Long-distance district heating pipelines (LDHPs) are important infrastructures in large scale district heating (DH) system. Their safety and stability are crucial for stable and efficient operation of the whole DH system. Pipeline leakage is a common accident in the operation of DH system, accurate and fast leak detection technique is an indispensable measure for ensuring efficient repair and avoiding large-area heating failure. In this paper, a fast and accurate leak detection technique for LDHPs is proposed. The technique utilizes the numerical hydraulic transient model of the LDHP and the particle swarm optimization (PSO) algorithm to find the leak point. A pressure wave velocity identification procedure is also established for the leak detection. Simulation tests are conducted on a 20 km LDHP to investigate the influences of instrumental error and sampling frequency of measured data on the accuracy of the leak detection. Results show that when the sampling frequency is higher than 0.1 Hz, the relative errors of the detected leak point areas and leak point positions can be less than 2.73 % and 2.40 %, respectively. Effective leak detection of LDHPs can be therefore conducted through the proposed leak detection technique and measuring instruments with high precision and proper sampling frequency.

Suggested Citation

  • Zheng, Xuejing & Hu, Fangshu & Wang, Yaran & Zheng, Lijun & Gao, Xinyong & Zhang, Huan & You, Shijun & Xu, Boxiao, 2021. "Leak detection of long-distance district heating pipeline: A hydraulic transient model-based approach," Energy, Elsevier, vol. 237(C).
    • Handle: RePEc:eee:energy:v:237:y:2021:i:c:s0360544221018521
    DOI: 10.1016/j.energy.2021.121604
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    References listed on IDEAS

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    1. Fang, Hao & Xia, Jianjun & Jiang, Yi, 2015. "Key issues and solutions in a district heating system using low-grade industrial waste heat," Energy, Elsevier, vol. 86(C), pages 589-602.
    2. Ma, Minda & Ma, Xin & Cai, Wei & Cai, Weiguang, 2020. "Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak," Applied Energy, Elsevier, vol. 273(C).
    3. 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.
    4. Ma, Minda & Cai, Wei & Cai, Weiguang, 2018. "Carbon abatement in China's commercial building sector: A bottom-up measurement model based on Kaya-LMDI methods," Energy, Elsevier, vol. 165(PA), pages 350-368.
    5. Perpar, Matjaž & Rek, Zlatko, 2020. "Soil temperature gradient as a useful tool for small water leakage detection from district heating pipes in buried channels," Energy, Elsevier, vol. 201(C).
    6. Fu, Lin & Li, Yonghong & Wu, Yanting & Wang, Xiaoyin & Jiang, Yi, 2021. "Low carbon district heating in China in 2025- a district heating mode with low grade waste heat as heat source," Energy, Elsevier, vol. 230(C).
    7. Xie, Xiaoyun & Jiang, Yi, 2017. "Absorption heat exchangers for long-distance heat transportation," Energy, Elsevier, vol. 141(C), pages 2242-2250.
    8. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    9. Kaliatka, A. & Valinčius, M., 2012. "Modeling of pipe break accident in a district heating system using RELAP5 computer code," Energy, Elsevier, vol. 44(1), pages 813-819.
    Full references (including those not matched with items on IDEAS)

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    2. Yan, Jingjing & Zhang, Huan & Wang, Yaran & Zhu, Zhaozhe & Bai, He & Li, Qicheng & Zheng, Lijun & Gao, Xinyong & You, Shijun, 2023. "Difference analysis and recognition of hydraulic oscillation by two types of sudden faults on long-distance district heating pipeline," Energy, Elsevier, vol. 284(C).
    3. Luo, Zheng & Lin, Xiaojie & Qiu, Tianyue & Li, Manjie & Zhong, Wei & Zhu, Lingkai & Liu, Shuangcui, 2024. "Investigation of hybrid adversarial-diffusion sample generation method of substations in district heating system," Energy, Elsevier, vol. 288(C).
    4. Yan, Jingjing & Zhang, Huan & Wang, Yaran & Zhu, Zhaozhe & Bai, He & Li, Qicheng & You, Shijun, 2024. "Pump-stopping-induced hydraulic oscillations in long-distance district heating system: Modelling and a comprehensive analysis of critical factors," Energy, Elsevier, vol. 294(C).

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