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Research on control strategy integrated with characteristics of user's energy-saving behavior of district heating system

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  • Sun, Chunhua
  • Liu, Yanan
  • Gao, Xiaoyu
  • Wang, Jinda
  • Yang, Lan
  • Qi, Chengyong

Abstract

Traditional control strategies in district heating system (DHS) are generally based on meteorological parameters and experience, which rarely consider user's energy-saving behaviors. In new heating mode that integrates heating metering and temperature control, the application of on-off temperature control valves (on-off TCV) makes it possible for users to save energy. This paper proposes a control strategy of DHS that integrates characteristics of user's energy-saving behaviors and realizes combined control of feedforward and feedback. Firstly, we identify user's heating usage based on set indoor temperature and TCV's closing time ratio, and divide regulation periods; secondly, the TCV's closing time ratio of system is used to predict heat load of different regulation periods under different heating modes; finally, the deviation between target indoor temperature and actual value is used to dynamically correct heat load, and then supply curve is obtained and applied. The results show that prediction accuracy is improved. Meanwhile, user's indoor temperature is closer to target value and the system realized energy-saving operation. The energy-saving rates are 4.6%, 2.63% and 19.83% respectively in early cold, alpine cold and late cold periods. Throughout heating season, the proportion of TCV's closing time has a little change and the hydraulic condition is stable.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:245:y:2022:i:c:s0360544222001177
    DOI: 10.1016/j.energy.2022.123214
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    References listed on IDEAS

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    2. Tunzi, Michele & Benakopoulos, Theofanis & Yang, Qinjiang & Svendsen, Svend, 2023. "Demand side digitalisation: A methodology using heat cost allocators and energy meters to secure low-temperature operations in existing buildings connected to district heating networks," Energy, Elsevier, vol. 264(C).
    3. 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.

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