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A novel air flowrate control method based on terminal damper opening prediction in multi-zone VAV system

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Listed:
  • Mu, Yuanpeng
  • Zhang, Jili
  • Ma, Zhixian
  • Liu, Mingsheng

Abstract

Damper opening prediction under demand flowrate is the key for the novel feed-forward control method of damper opening and fan frequency, which is widely applied in the VAV system as well as many other processes. This paper proposed a novel damper opening prediction algorithm under demand air flowrate, and a novel air flowrate control method based on this prediction algorithm, which are both verified by the case simulation. The novel prediction algorithm is based on duct network impedance model, and the maximum opening prediction error can be less than ±1° by 5 groups sample identification. The novel flowrate control method does not need static pressure measurement, and can reduce airflow fluctuation time by 55% and fan power consumption by 21.6% compared with constant static pressure setting method, which is potential to replace the static pressure setting method in VAV air conditioning system. The work of this paper provides the basic algorithm and control method for energy saving control of the duct or pipe network in HVAC system.

Suggested Citation

  • Mu, Yuanpeng & Zhang, Jili & Ma, Zhixian & Liu, Mingsheng, 2023. "A novel air flowrate control method based on terminal damper opening prediction in multi-zone VAV system," Energy, Elsevier, vol. 263(PD).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pd:s0360544222029176
    DOI: 10.1016/j.energy.2022.126031
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    References listed on IDEAS

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    1. Okochi, Godwine Swere & Yao, Ye, 2016. "A review of recent developments and technological advancements of variable-air-volume (VAV) air-conditioning systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 784-817.
    2. Cui, Can & Zhang, Xin & Cai, Wenjian, 2020. "An energy-saving oriented air balancing method for demand controlled ventilation systems with branch and black-box model," Applied Energy, Elsevier, vol. 264(C).
    3. Jing, Gang & Cai, Wenjian & Zhang, Xin & Cui, Can & Yin, Xiaohong & Xian, Huacai, 2019. "An energy-saving oriented air balancing strategy for multi-zone demand-controlled ventilation system," Energy, Elsevier, vol. 172(C), pages 1053-1065.
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