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A novel asynchronous time-scale holistic control method for heating system based on the energy state space

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  • Hao, Junhong
  • Tian, Liang
  • Yang, Yunxi
  • Feng, Xiaolong
  • Liang, Lu
  • Hong, Feng
  • Du, Xiaoze

Abstract

Optimal characteristic parameters and control strategies in the operation of urban heating systems are significant for carbon reduction and high efficiency. Considering load fluctuations and real-time outdoor temperature changes, this research constructs steady-state and dynamic heat current models of the heating system based on the standard thermal resistance model. Combined with genetic algorithms, an optimal setting method is proposed for the operating characteristic parameters of the heating system under variable operating conditions. To achieve the control of the optimal characteristic parameters, the dynamic heat current model is applied to derive the system energy state space equations and obtain the state space parameter matrix. Moreover, a holistic control strategy for the heating system based on the optimal node parameters is proposed. The control simulation results show that the proposed holistic control strategy based on the optimal node temperature can save energy by 25.4 % compared with the fixed node temperature. Meanwhile, the exergy efficiency of the heating system increases by 2.3 %. That is, the proposed asynchronous time-scale holistic control method is significant for the day-ahead optimal regulation strategy of the district heating system.

Suggested Citation

  • Hao, Junhong & Tian, Liang & Yang, Yunxi & Feng, Xiaolong & Liang, Lu & Hong, Feng & Du, Xiaoze, 2024. "A novel asynchronous time-scale holistic control method for heating system based on the energy state space," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544223035661
    DOI: 10.1016/j.energy.2023.130172
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    1. 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).
    2. Yingxin Zhang & Sainan Wang & Wei Shao & Junhong Hao, 2021. "Feasible Distributed Energy Supply Options for Household Energy Use in China from a Carbon Neutral Perspective," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    3. Zhang, Youjun & Hao, Junhong & Ge, Zhihua & Zhang, Fuxiang & Du, Xiaoze, 2021. "Optimal clean heating mode of the integrated electricity and heat energy system considering the comprehensive energy-carbon price," Energy, Elsevier, vol. 231(C).
    4. Harish, V.S.K.V. & Kumar, Arun, 2016. "Reduced order modeling and parameter identification of a building energy system model through an optimization routine," Applied Energy, Elsevier, vol. 162(C), pages 1010-1023.
    5. 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.
    6. Hong, Feng & Ji, Weiming & Pang, Yalei & Hao, Junhong & Du, Ming & Fang, Fang & Liu, Jizhen, 2023. "A new energy state-based modeling and performance assessment method for primary frequency control of thermal power plants," Energy, Elsevier, vol. 276(C).
    7. Zhong, Wei & Feng, Encheng & Lin, Xiaojie & Xie, Jinfang, 2022. "Research on data-driven operation control of secondary loop of district heating system," Energy, Elsevier, vol. 239(PB).
    8. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Wang, Jinda, 2018. "Effects of the operation regulation modes of district heating system on an integrated heat and power dispatch system for wind power integration," Applied Energy, Elsevier, vol. 230(C), pages 1126-1139.
    9. Chen, Yongbao & Xu, Peng & Chen, Zhe & Wang, Hongxin & Sha, Huajing & Ji, Ying & Zhang, Yongming & Dou, Qiang & Wang, Sheng, 2020. "Experimental investigation of demand response potential of buildings: Combined passive thermal mass and active storage," Applied Energy, Elsevier, vol. 280(C).
    10. Nielsen, Maria Grønnegaard & Morales, Juan Miguel & Zugno, Marco & Pedersen, Thomas Engberg & Madsen, Henrik, 2016. "Economic valuation of heat pumps and electric boilers in the Danish energy system," Applied Energy, Elsevier, vol. 167(C), pages 189-200.
    11. Wang, Hai & Meng, Hua, 2018. "Improved thermal transient modeling with new 3-order numerical solution for a district heating network with consideration of the pipe wall's thermal inertia," Energy, Elsevier, vol. 160(C), pages 171-183.
    12. 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).
    13. Dai, Yuanhang & Hao, Junhong & Wang, Xingce & Chen, Lei & Chen, Qun & Du, Xiaoze, 2022. "A comprehensive model and its optimal dispatch of an integrated electrical-thermal system with multiple heat sources," Energy, Elsevier, vol. 261(PA).
    14. Pan, Zhaoguang & Guo, Qinglai & Sun, Hongbin, 2017. "Feasible region method based integrated heat and electricity dispatch considering building thermal inertia," Applied Energy, Elsevier, vol. 192(C), pages 395-407.
    15. Li, Peng & Wang, Zixuan & Liu, Haitao & Wang, Jiahao & Guo, Tianyu & Yin, Yunxing, 2021. "Bi-level optimal configuration strategy of community integrated energy system with coordinated planning and operation," Energy, Elsevier, vol. 236(C).
    16. Li, Xue & Li, Wenming & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Li, Guoqing, 2020. "Collaborative scheduling and flexibility assessment of integrated electricity and district heating systems utilizing thermal inertia of district heating network and aggregated buildings," Applied Energy, Elsevier, vol. 258(C).
    Full references (including those not matched with items on IDEAS)

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