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Optimization of hydraulic distribution using loop adjustment method in meshed district heating system with multiple heat sources

Author

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  • Liu, Zhikai
  • Zhang, Huan
  • Wang, Yaran
  • Fan, Xianwang
  • You, Shijun
  • Jiang, Yan
  • Gao, Xinlei

Abstract

With the development of urbanization, the scale of the district heating system (DHS) has increased significantly, and the meshed DHS with multiple heat sources has become a popular trend due to its safety for providing heating. However, the current dispatch strategy of the DHS only focuses on regulating supply temperatures or flow rates in each heat source and ignores the loop adjustment, which leads to a waste of energy. The loop adjustment method is proposed by installing valves or pumps in the loop pipelines, which can improve hydraulic distribution of the DHS and reduce energy consumption of the total pumps. Since the DHS with loop adjustment method is a nonlinear optimization problem, an improved algorithm which combines the particle swarm optimization and the linear search method is used to solve this problem. The best installation positions of the loop valves or pumps are obtained, as well as their corresponding working conditions. Then, the hydraulic performance under three modes (without loop adjustment strategy, with loop valve strategy and with loop pump strategy) is compared in an actual DHS, and results show that the total pump power can be reduced by more than 20.3% and 29.5% after adopting the loop adjustment method.

Suggested Citation

  • Liu, Zhikai & Zhang, Huan & Wang, Yaran & Fan, Xianwang & You, Shijun & Jiang, Yan & Gao, Xinlei, 2023. "Optimization of hydraulic distribution using loop adjustment method in meshed district heating system with multiple heat sources," Energy, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223019898
    DOI: 10.1016/j.energy.2023.128595
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    References listed on IDEAS

    as
    1. Sun, Chunhua & Yuan, Lingyu & Cao, Shanshan & Xia, Guoqiang & Liu, Yanan & Wu, Xiangdong, 2023. "Identifying supply-demand mismatches in district heating system based on association rule mining," Energy, Elsevier, vol. 280(C).
    2. Jakubek, Dariusz & Ocłoń, Paweł & Nowak-Ocłoń, Marzena & Sułowicz, Maciej & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2023. "Mathematical modelling and model validation of the heat losses in district heating networks," Energy, Elsevier, vol. 267(C).
    3. Gjoka, Kristian & Rismanchi, Behzad & Crawford, Robert H., 2023. "Fifth-generation district heating and cooling systems: A review of recent advancements and implementation barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    4. Østergaard, Dorte Skaarup & Smith, Kevin Michael & Tunzi, Michele & Svendsen, Svend, 2022. "Low-temperature operation of heating systems to enable 4th generation district heating: A review," Energy, Elsevier, vol. 248(C).
    5. Fang, Tingting & Lahdelma, Risto, 2015. "Genetic optimization of multi-plant heat production in district heating networks," Applied Energy, Elsevier, vol. 159(C), pages 610-619.
    6. Wang, Yaran & You, Shijun & Zhang, Huan & Zheng, Wandong & Zheng, Xuejing & Miao, Qingwei, 2017. "Hydraulic performance optimization of meshed district heating network with multiple heat sources," Energy, Elsevier, vol. 126(C), pages 603-621.
    7. Chicherin, Stanislav & Zhuikov, Andrey & Junussova, Lyazzat, 2022. "The new method for hydraulic calculations of a district heating (DH) network," Energy, Elsevier, vol. 260(C).
    8. Steinegger, Josef & Wallner, Stefan & Greiml, Matthias & Kienberger, Thomas, 2023. "A new quasi-dynamic load flow calculation for district heating networks," Energy, Elsevier, vol. 266(C).
    9. Wang, Yaran & Shi, Kaiyu & Zheng, Xuejing & You, Shijun & Zhang, Huan & Zhu, Chengzhi & Li, Liang & Wei, Shen & Ding, Chao & Wang, Na, 2020. "Thermo-hydraulic coupled analysis of meshed district heating networks based on improved breadth first search method," Energy, Elsevier, vol. 205(C).
    10. Zheng, Xuejing & Shi, Zhiyuan & Wang, Yaran & Zhang, Huan & Liu, Huzhen, 2023. "Thermo-hydraulic condition optimization of large-scale complex district heating network: A case study of Tianjin," Energy, Elsevier, vol. 266(C).
    11. Yan, Jingjing & Zhang, Huan & Wang, Yaran & Zheng, Lijun & Gao, Xinyong & You, Shijun, 2022. "Valve failure detection of the long-distance district heating pipeline by hydraulic oscillation recognition: A numerical approach," Energy, Elsevier, vol. 261(PA).
    12. Benakopoulos, Theofanis & Tunzi, Michele & Salenbien, Robbe & Svendsen, Svend, 2021. "Strategy for low-temperature operation of radiator systems using data from existing digital heat cost allocators," Energy, Elsevier, vol. 231(C).
    13. 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).
    14. Dénarié, A. & Aprile, M. & Motta, M., 2023. "Dynamical modelling and experimental validation of a fast and accurate district heating thermo-hydraulic modular simulation tool," Energy, Elsevier, vol. 282(C).
    15. Xu, Fei & Hao, Ling & Chen, Lei & Chen, Qun & Wei, Mingshan & Min, Yong, 2023. "Integrated heat and power optimal dispatch method considering the district heating networks flow rate regulation for wind power accommodation," Energy, Elsevier, vol. 263(PA).
    16. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Hu, Songtao & Wang, Jinda, 2021. "Effects of intermittent heating on an integrated heat and power dispatch system for wind power integration and corresponding operation regulation," Applied Energy, Elsevier, vol. 287(C).
    17. Zheng, Xuejing & Sun, Qihang & Wang, Yaran & Zheng, Lijun & Gao, Xinyong & You, Shijun & Zhang, Huan & Shi, Kaiyu, 2021. "Thermo-hydraulic coupled simulation and analysis of a real large-scale complex district heating network in Tianjin," Energy, Elsevier, vol. 236(C).
    18. Hering, Dominik & Cansev, Mehmet Ege & Tamassia, Eugenio & Xhonneux, André & Müller, Dirk, 2021. "Temperature control of a low-temperature district heating network with Model Predictive Control and Mixed-Integer Quadratically Constrained Programming," Energy, Elsevier, vol. 224(C).
    19. Guelpa, Elisa & Toro, Claudia & Sciacovelli, Adriano & Melli, Roberto & Sciubba, Enrico & Verda, Vittorio, 2016. "Optimal operation of large district heating networks through fast fluid-dynamic simulation," Energy, Elsevier, vol. 102(C), pages 586-595.
    20. Liu, Zhikai & Zhang, Huan & Wang, Yaran & Song, Zixu & You, Shijun & Jiang, Yan & Wu, Zhangxiang, 2022. "A thermal-hydraulic coupled simulation approach for the temperature and flow rate control strategy evaluation of the multi-room radiator heating system," Energy, Elsevier, vol. 246(C).
    21. Jiang, Mengting & Speetjens, Michel & Rindt, Camilo & Smeulders, David, 2023. "A data-based reduced-order model for dynamic simulation and control of district-heating networks," Applied Energy, Elsevier, vol. 340(C).
    22. Vivian, Jacopo & Quaggiotto, Davide & Zarrella, Angelo, 2020. "Increasing the energy flexibility of existing district heating networks through flow rate variations," Applied Energy, Elsevier, vol. 275(C).
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