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Superposition-principle based decoupling method for energy flow calculation in district heating networks

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  • Zhang, Suhan
  • Gu, Wei
  • Lu, Hai
  • Qiu, Haifeng
  • Lu, Shuai
  • Wang, Dada
  • Liang, Junyu
  • Li, Wenyun

Abstract

Wide development of electric-thermal conversion equipment has promoted renewable energy penetration in the electric power system (EPS) and brought considerable environmental benefits. However, different physical natures of heat and electricity complicate the comprehensive analysis for the operational features in district heating networks (DHN). This paper firstly explores the superposition principles into the static, quasi-dynamic, and dynamic DHN models, where the manifestation of systematic temperature distribution is directly demonstrated. On this basis, a superposed decoupling method (SDM) is developed for energy flow calculation (EFC) in DHN. In the proposed method, the temperature distribution is analytically expressed as the linear superposition of the source states and the initial conditions. Therefore, the regularity of the temperature distribution incurred by the independent sources can be explicitly distinguished, and the computation efficiency is improved without extra convergence problems and calculation errors. Numerical studies verify that the proposed method has an error of 0% and is highly stable in different DHNs. The efficiency is increased by over 30% regardless of the topologies, and the improvement is more evident as the scale increases.

Suggested Citation

  • Zhang, Suhan & Gu, Wei & Lu, Hai & Qiu, Haifeng & Lu, Shuai & Wang, Dada & Liang, Junyu & Li, Wenyun, 2021. "Superposition-principle based decoupling method for energy flow calculation in district heating networks," Applied Energy, Elsevier, vol. 295(C).
  • Handle: RePEc:eee:appene:v:295:y:2021:i:c:s0306261921004943
    DOI: 10.1016/j.apenergy.2021.117032
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    1. Cruz, Marco R.M. & Fitiwi, Desta Z. & Santos, Sérgio F. & Catalão, João P.S., 2018. "A comprehensive survey of flexibility options for supporting the low-carbon energy future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 338-353.
    2. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    3. Jin, Xiaolong & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Xu, Xiandong & Yu, Xiaodan, 2016. "Optimal day-ahead scheduling of integrated urban energy systems," Applied Energy, Elsevier, vol. 180(C), pages 1-13.
    4. Wang, Yaran & You, Shijun & Zhang, Huan & Zheng, Xuejing & Zheng, Wandong & Miao, Qingwei & Lu, Gang, 2017. "Thermal transient prediction of district heating pipeline: Optimal selection of the time and spatial steps for fast and accurate calculation," Applied Energy, Elsevier, vol. 206(C), pages 900-910.
    5. Morvaj, Boran & Evins, Ralph & Carmeliet, Jan, 2016. "Optimization framework for distributed energy systems with integrated electrical grid constraints," Applied Energy, Elsevier, vol. 171(C), pages 296-313.
    6. Rongxiang Yuan & Jun Ye & Jiazhi Lei & Timing Li, 2016. "Integrated Combined Heat and Power System Dispatch Considering Electrical and Thermal Energy Storage," Energies, MDPI, vol. 9(6), pages 1-17, June.
    7. Gu, Wei & Wang, Jun & Lu, Shuai & Luo, Zhao & Wu, Chenyu, 2017. "Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings," Applied Energy, Elsevier, vol. 199(C), pages 234-246.
    8. Qin, Xin & Sun, Hongbin & Shen, Xinwei & Guo, Ye & Guo, Qinglai & Xia, Tian, 2019. "A generalized quasi-dynamic model for electric-heat coupling integrated energy system with distributed energy resources," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    9. Chen, Qun & Fu, Rong-Huan & Xu, Yun-Chao, 2015. "Electrical circuit analogy for heat transfer analysis and optimization in heat exchanger networks," Applied Energy, Elsevier, vol. 139(C), pages 81-92.
    10. Pan, Guangsheng & Gu, Wei & Wu, Zhi & Lu, Yuping & Lu, Shuai, 2019. "Optimal design and operation of multi-energy system with load aggregator considering nodal energy prices," Applied Energy, Elsevier, vol. 239(C), pages 280-295.
    11. Pan, Zhaoguang & Guo, Qinglai & Sun, Hongbin, 2016. "Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow," Applied Energy, Elsevier, vol. 167(C), pages 230-243.
    12. Markensteijn, A.S. & Romate, J.E. & Vuik, C., 2020. "A graph-based model framework for steady-state load flow problems of general multi-carrier energy systems," Applied Energy, Elsevier, vol. 280(C).
    13. Duquette, Jean & Rowe, Andrew & Wild, Peter, 2016. "Thermal performance of a steady state physical pipe model for simulating district heating grids with variable flow," Applied Energy, Elsevier, vol. 178(C), pages 383-393.
    14. Zhang, Suhan & Gu, Wei & Qiu, Haifeng & Yao, Shuai & Pan, Guangsheng & Chen, Xiaogang, 2021. "State estimation models of district heating networks for integrated energy system considering incomplete measurements," Applied Energy, Elsevier, vol. 282(PA).
    15. Liu, Xuezhi & Mancarella, Pierluigi, 2016. "Modelling, assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems," Applied Energy, Elsevier, vol. 167(C), pages 336-352.
    16. Shabanpour-Haghighi, Amin & Seifi, Ali Reza, 2016. "Effects of district heating networks on optimal energy flow of multi-carrier systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 379-387.
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