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Hydraulic performance optimization of meshed district heating network with multiple heat sources

Author

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  • Wang, Yaran
  • You, Shijun
  • Zhang, Huan
  • Zheng, Wandong
  • Zheng, Xuejing
  • Miao, Qingwei

Abstract

Operational optimization is the key to energy reduction of the district heating (DH) system. Poor hydraulic performances of the DH network will largely increase the energy consumption. However, for most meshed DH networks with multiple heat sources, the optimal hydraulic conditions are usually not achieved. In this paper, the hydraulic performance optimization problem of meshed DH network with multiple heat sources was proposed. In order to solve the problem, the General Reduced Gradient (GRG) algorithm was adopted to minimize the total pump power through optimizing the pump frequencies and substation valve openings of the DH network. The hydraulic performances of the GRG algorithm based optimal control (OC) strategy were compared with the traditional constant pressure difference control (CPDC) and the constant speed control (CSC) strategies. Results shows that in comparison with the CPDC and CSC strategy, the total pump power can be reduced by 20% and 65% respectively, when applying the OC strategy. And the hydraulic intersection point of the DH network was changeable to reallocate the serving areas of heat sources and optimize the total pump power. Besides, increasing the pump efficiency without considering the hydraulic constraints of the DH network may not lead to optimal conditions.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:126:y:2017:i:c:p:603-621
    DOI: 10.1016/j.energy.2017.03.044
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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. 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.
    3. Li, Yemao & Xia, Jianjun & Fang, Hao & Su, Yingbo & Jiang, Yi, 2016. "Case study on industrial surplus heat of steel plants for district heating in Northern China," Energy, Elsevier, vol. 102(C), pages 397-405.
    4. Dobos, László & Abonyi, János, 2011. "Controller tuning of district heating networks using experiment design techniques," Energy, Elsevier, vol. 36(8), pages 4633-4639.
    5. Carpaneto, E. & Lazzeroni, P. & Repetto, M., 2015. "Optimal integration of solar energy in a district heating network," Renewable Energy, Elsevier, vol. 75(C), pages 714-721.
    6. Jiang, X.S. & Jing, Z.X. & Li, Y.Z. & Wu, Q.H. & Tang, W.H., 2014. "Modelling and operation optimization of an integrated energy based direct district water-heating system," Energy, Elsevier, vol. 64(C), pages 375-388.
    7. 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.
    8. Yan, Aibin & Zhao, Jun & An, Qingsong & Zhao, Yulong & Li, Hailong & Huang, Yrjö Jun, 2013. "Hydraulic performance of a new district heating systems with distributed variable speed pumps," Applied Energy, Elsevier, vol. 112(C), pages 876-885.
    Full references (including those not matched with items on IDEAS)

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