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An adaptive double-Newton-iteration hydraulic calculation method for optimal operation of the meshed district heating network

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  • Liu, Zhikai
  • Zhang, Huan
  • Wang, Yaran
  • Jiang, Yan
  • He, Zhihao
  • Zhou, Pengkun

Abstract

The district heating (DH) system is one of the most efficient solutions for providing space heating with reduced energy and carbon emissions. The goal of this paper is to research the different operation control strategy of the pump, which requires addressing two issues before testing operation control strategy. One is the simulation problem, and the other is the identification problem to obtain an accurate hydraulic simulation model. In this paper, a novel adaptive double-Newton-iteration hydraulic calculation method is proposed for the meshed DH network. An identification algorithm is also proposed to obtain precise hydraulic resistances of pipelines and the coefficients of the pump curves using the measured operating data of the DH network. An optimal pressure control (OPC) strategy is then proposed to minimize the pump head based on the identified hydraulic resistances. During simulation, the hydraulic performances of DH network under the OPC strategy, the conventional constant speed control (CSC) strategy and the constant pressure difference control (CPDC) strategy were compared. Results show that implementation of the OPC strategy can save about 9.0%–52.9% pumping energy compared with the CSC and CPDC strategies during the heating period.

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  • 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).
    • Handle: RePEc:eee:energy:v:272:y:2023:i:c:s0360544223005261
    DOI: 10.1016/j.energy.2023.127132
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    1. Gustafsson, Jonas & Delsing, Jerker & van Deventer, Jan, 2010. "Improved district heating substation efficiency with a new control strategy," Applied Energy, Elsevier, vol. 87(6), pages 1996-2004, June.
    2. 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.
    3. Chicherin, Stanislav & Zhuikov, Andrey & Junussova, Lyazzat, 2022. "The new method for hydraulic calculations of a district heating (DH) network," Energy, Elsevier, vol. 260(C).
    4. 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).
    5. 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).
    6. Pakere, Ieva & Blumberga, Dagnija, 2020. "Solar power or solar heat: What will upraise the efficiency of district heating? Multi-criteria analyses approach," Energy, Elsevier, vol. 198(C).
    7. Tissen, Carolin & Menberg, Kathrin & Benz, Susanne A. & Bayer, Peter & Steiner, Cornelia & Götzl, Gregor & Blum, Philipp, 2021. "Identifying key locations for shallow geothermal use in Vienna," Renewable Energy, Elsevier, vol. 167(C), pages 1-19.
    8. Sun, Fangtian & Hao, Baoru & Fu, Lin & Wu, Hongwei & Xie, Yonghua & Wu, Haifeng, 2021. "New medium-low temperature hydrothermal geothermal district heating system based on distributed electric compression heat pumps and a centralized absorption heat transformer," Energy, Elsevier, vol. 232(C).
    9. 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).
    10. 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.
    11. Ziemele, Jelena & Dace, Elina, 2022. "An analytical framework for assessing the integration of the waste heat into a district heating system: Case of the city of Riga," Energy, Elsevier, vol. 254(PB).
    12. 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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