基于人体疲劳状态的需求控制通风研究
Demand controlled ventilation based on human fatigue state
摘要：
需求控制通风（DCV）能够在保证室内空气品质满足要求的前提下降低新风能耗。基于目前对DCV的研究很少涉及人员对室内空气品质的主观评价，采用测试和问卷调查相结合的方式，得出了人体疲劳状态对室内空气品质评价的影响趋势，给出了引入适应性因子a的时机以及a的取值。以教室为控制对象，利用Simulink建立了系统仿真模型，仿真结果表明：基于人体疲劳状态的需求控制通风系统比定风量系统节能21.8%。
Abstract：
Demand controlled ventilation (DCV) can reduce the energy consumption of outdoor air in the context of meeting the requirements of the indoor air quality. Based on the current research on DCV with little concern on occupant’s subjective evaluation of indoor air quality, adopting a combination of tests and questionnaires, obtains the influence trend of human fatigue state on indoor air quality evaluation, and gives the timing of introducing adaptability factor a and the value a. Taking a classroom as the control object, establishes a system simulation model using Simulink. The simulation results show that the demand controlled ventilation system based on human fatigue state can save 21.8% of energy comparing with the constant air volume system.
Keywords:human body, fatigue state, demand controlled ventilation, indoor air quality, adaptability factor, energy saving