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Real-time quantification for dynamic heat storage characteristic of district heating system and its application in dispatch of integrated energy system

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  • Gou, Xing
  • Chen, Qun
  • He, Ke-Lun

Abstract

Utilization of heat storage characteristic of district heating system (DHS) is promising to promote the flexibility of integrated energy system (IES). However, unlike battery with constant capacity, the capacity of DHS is related to heat storage/release rate and needs real-time quantification due to heat migration delay. This work proposes a novel quantification method combining system operation simulation and dichotomy method to evaluate the real-time heat storage characteristic of DHS, where such indicators as heat shifting capability, and available storage/release capacity and depth are defined. Quantification results show that if DHS stores/releases heat rapidly for 1 h to reach the upper/lower capacity limits, the available utilization depth of storage/release process are only 52.65% and 57.60%, respectively, while a longer time duration of storage/release process will increase the available depth until reaching 100%. Then, based on the real-time quantification of DHS capacity, a scheduling strategy of IES is proposed by applying the rolling dispatch method. Comparison results show that the simplification of constant heat storage characteristics of DHS brings the violation of system operation constraints, and the differences of dispatch results are up to 18.9% compared to those considering the dynamic heat storage characteristics of DHS precisely.

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  • Gou, Xing & Chen, Qun & He, Ke-Lun, 2022. "Real-time quantification for dynamic heat storage characteristic of district heating system and its application in dispatch of integrated energy system," Energy, Elsevier, vol. 259(C).
    • Handle: RePEc:eee:energy:v:259:y:2022:i:c:s036054422201859x
    DOI: 10.1016/j.energy.2022.124960
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    1. Parisio, Alessandra & Rikos, Evangelos & Tzamalis, George & Glielmo, Luigi, 2014. "Use of model predictive control for experimental microgrid optimization," Applied Energy, Elsevier, vol. 115(C), pages 37-46.
    2. Evans, Annette & Strezov, Vladimir & Evans, Tim J., 2012. "Assessment of utility energy storage options for increased renewable energy penetration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4141-4147.
    3. Steven Chu & Arun Majumdar, 2012. "Opportunities and challenges for a sustainable energy future," Nature, Nature, vol. 488(7411), pages 294-303, August.
    4. 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.
    5. He, Ke-Lun & Chen, Qun & Ma, Huan & Zhao, Tian & Hao, Jun-Hong, 2020. "An isomorphic multi-energy flow modeling for integrated power and thermal system considering nonlinear heat transfer constraint," Energy, Elsevier, vol. 211(C).
    6. Hurtado, L.A. & Rhodes, J.D. & Nguyen, P.H. & Kamphuis, I.G. & Webber, M.E., 2017. "Quantifying demand flexibility based on structural thermal storage and comfort management of non-residential buildings: A comparison between hot and cold climate zones," Applied Energy, Elsevier, vol. 195(C), pages 1047-1054.
    7. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    8. Kouhia, Mikko & Laukkanen, Timo & Holmberg, Henrik & Ahtila, Pekka, 2019. "District heat network as a short-term energy storage," Energy, Elsevier, vol. 177(C), pages 293-303.
    9. Aoun, Nadine & Bavière, Roland & Vallée, Mathieu & Aurousseau, Antoine & Sandou, Guillaume, 2019. "Modelling and flexible predictive control of buildings space-heating demand in district heating systems," Energy, Elsevier, vol. 188(C).
    10. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
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