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Research on Regulation Method of Variable-Air-Volume Air Conditioning System with “Personal Space”

Author

Listed:
  • Tingting Chen

    (School of Thermal Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Mingyuan Zhang

    (Gas Heating Station, Jinan Municipal Engineering Design Group, Jinan 250031, China)

  • Shaoqing Han

    (School of Thermal Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Yuhang Han

    (School of Thermal Engineering, Shandong Jianzhu University, Jinan 250101, China)

Abstract

In large public facilities, such as airport terminals or open-plan office spaces, the HVAC system typically consumes substantial amounts of energy. However, individuals often gather at specific areas while other zones are occupied by transient or occasional users. To minimize operational energy usage, this paper aims to reduce thermal comfort demands in non-targeted areas. This paper introduces a method for regulating the thermal environment around occupants exclusively in the variable-air-volume (VAV) air conditioning running mode. The investigation utilizes Airpak modeling and experimental verification techniques. Additionally, an analysis of temperature field and velocity field distributions within the room under the “personal space” operation mode is presented. The results suggest that adjusting the numbers of air vents, openings, airflow velocities, and air supply orientations can establish a comfortable thermal environment for inhabitants and reduce the overall ADPI value. The combined air supply mode leads to a 16.7% reduction in power usage compared to traditional full-space operation.

Suggested Citation

  • Tingting Chen & Mingyuan Zhang & Shaoqing Han & Yuhang Han, 2024. "Research on Regulation Method of Variable-Air-Volume Air Conditioning System with “Personal Space”," Energies, MDPI, vol. 17(20), pages 1-23, October.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:20:p:5041-:d:1495982
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    References listed on IDEAS

    as
    1. Zhang, Sheng & Lin, Zhang & Ai, Zhengtao & Huan, Chao & Cheng, Yong & Wang, Fenghao, 2019. "Multi-criteria performance optimization for operation of stratum ventilation under heating mode," Applied Energy, Elsevier, vol. 239(C), pages 969-980.
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