E3S Web of Conferences (Jan 2022)

Study on the thermal performance under the implement of multi-vent module-based adaptive ventilation

  • Zhang Weijia,
  • Zhang Weirong,
  • Zhang Haotian

DOI
https://doi.org/10.1051/e3sconf/202235601053
Journal volume & issue
Vol. 356
p. 01053

Abstract

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Indoor occupants' distribution scenarios are in a dynamic change randomly. Moreover, in many occasions with fixed seats, people in areas where cold air blows directly have a poor thermal experience. Therefore, to meet the differentiated environmental demands, novel ventilation strategies to satisfy the changing environmental requirements needs to be explored. In this study, a multi-vent module-based adaptive ventilation (MAV) system with a multi-vent dynamic ventilation module as a core is proposed to increase the adjustability of air distribution and better adapt to variable demands. MAV has three control characteristics of zoning division, completion of the inlets and outlets conversion, and the use of dynamic airflow adjustment. Simulations are conducted based on a typical multifunctional classroom with four common scenarios. The performance of MAV and MV under different scenarios is compared by considering airflow pattern, SVE4, PMV and DR. The results reveal: this ventilation module can effectively realize the zoning division control. MAV can create a more comfortable thermal environment when compared with MV. Various vents schemes realized by the function of the reversing device create different airflow patterns and thermal environments, which can be matched to diverse indoor scenarios. When the indoor scenario changes, the local uncomfortable state can be improved by switching the device to change the vents schemes. In order to deeply adjust thermal discomfort caused by the airflow pattern of downwards under the multi-vents air supply, it is reasonable to introduce dynamic airflow in MAV to improve the draught comfort. This ventilation strategy might be expected as a promising air terminal system that provide flexibility and adaptability for real applications.