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Investigation of Predictive Regulation Strategy of Secondary Loop in District Heating Systems

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  • Zhongbo Li

    (College of Energy Engineering, Zhejiang University, Hangzhou 310027, China)

  • Zheng Luo

    (Polytechnic Institute, Zhejiang University, Hangzhou 310015, China)

  • Ning Zhang

    (Polytechnic Institute, Zhejiang University, Hangzhou 310015, China)

  • Xiaojie Lin

    (College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
    Jiaxing Research Institute, Zhejiang University, Jiaxing 314499, China)

  • Wei Huang

    (College of Energy Engineering, Zhejiang University, Hangzhou 310027, China)

  • Encheng Feng

    (College of Energy Engineering, Zhejiang University, Hangzhou 310027, China)

  • Wei Zhong

    (College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
    Zhejiang Key Laboratory of Clean Energy and Carbon Neutrality, Zhejiang University, Hangzhou 310027, China
    Shanghai Institute for Advanced Study, Zhejiang University, Shanghai 201203, China)

Abstract

The urban energy system is greatly dependent on the District Heating System (DHS). However, many difficulties with regulation and control are caused by its large scale and numerous coupling variables. Additionally, reliance on manual experience means it can be challenging to guarantee heating comfort and effectiveness in the regulation of DHS. This paper proposes a data-driven temperature response prediction model to predict secondary loop supply temperature based on the heating substation’s historical operating status, valve opening degree, weather conditions, etc. Further, the XGBoost model was established in this article with different input and prediction steps. The results show that the XGBoost model with 72 input steps and 24 prediction steps has better performance. As an application example, the model was applied to an urban central heating system. Based on this data-driven model, different operation strategies on primary loop valve opening are compared for temperature response analysis. Operators can check the temperature responses of different valve control strategies before being applied. This paper guides the regulation behavior of the DHS, which is of great significance for the operation of the actual DHS.

Suggested Citation

  • Zhongbo Li & Zheng Luo & Ning Zhang & Xiaojie Lin & Wei Huang & Encheng Feng & Wei Zhong, 2023. "Investigation of Predictive Regulation Strategy of Secondary Loop in District Heating Systems," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3524-:d:1068463
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    References listed on IDEAS

    as
    1. Chicherin, Stanislav & Anvari-Moghaddam, Amjad, 2021. "Adjusting heat demands using the operational data of district heating systems," Energy, Elsevier, vol. 235(C).
    2. Gustafsson, Jonas & Delsing, Jerker & van Deventer, Jan, 2011. "Experimental evaluation of radiator control based on primary supply temperature for district heating substations," Applied Energy, Elsevier, vol. 88(12), pages 4945-4951.
    3. Zhong, Wei & Huang, Wei & Lin, Xiaojie & Li, Zhongbo & Zhou, Yi, 2020. "Research on data-driven identification and prediction of heat response time of urban centralized heating system," Energy, Elsevier, vol. 212(C).
    4. Pavel Ruseljuk & Andrei Dedov & Aleksandr Hlebnikov & Kertu Lepiksaar & Anna Volkova, 2023. "Comparison of District Heating Supply Options for Different CHP Configurations," Energies, MDPI, vol. 16(2), pages 1-14, January.
    5. 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.
    6. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Hu, Songtao & Wang, Jinda, 2021. "Effects of intermittent heating on an integrated heat and power dispatch system for wind power integration and corresponding operation regulation," Applied Energy, Elsevier, vol. 287(C).
    7. Sun, Chunhua & Liu, Yanan & Gao, Xiaoyu & Wang, Jinda & Yang, Lan & Qi, Chengyong, 2022. "Research on control strategy integrated with characteristics of user's energy-saving behavior of district heating system," Energy, Elsevier, vol. 245(C).
    8. Wang, Dan & Zhi, Yun-qiang & Jia, Hong-jie & Hou, Kai & Zhang, Shen-xi & Du, Wei & Wang, Xu-dong & Fan, Meng-hua, 2019. "Optimal scheduling strategy of district integrated heat and power system with wind power and multiple energy stations considering thermal inertia of buildings under different heating regulation modes," Applied Energy, Elsevier, vol. 240(C), pages 341-358.
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