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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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    Cited by:

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    3. Zhang, Bin & Hu, Weihao & Cao, Di & Ghias, Amer M.Y.M. & Chen, Zhe, 2023. "Novel Data-Driven decentralized coordination model for electric vehicle aggregator and energy hub entities in multi-energy system using an improved multi-agent DRL approach," Applied Energy, Elsevier, vol. 339(C).

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