需求控制通风（DCV）是一种通风控制策略，当系统所服务空间的实际占用率低于设计占用率时，该策略可自动将室外进气量降低到设计速率以下。本研究的目的是:1）建立基于CO的DCV的基本方程；2） 为多区域暖通空调系统提出基于CO²和基于占用传感器的DCV；3） 通过能量模拟和气流模拟评估所提出的DCV控制策略。首先，基于CO²的DCV假设的有效性得到了验证。文献综述得出的结论是:1）由于CO²生成率和气味生成率成正比，区域- 释放不同的CO²浓度可以作为空间中人类气味的标志；2） 生物流生成率与居住者数量及其活动水平成正比；3） CO²传感可用于估计与乘员相关的污染源的强度。

Demand-Controlled Ventilation (DCV) is a ventilation control strategy that provides automatic reduction of outdoor air intake below design rates when the actual occupancy of spaces served by the system is less than design occupancy. This research aimed to: 1) develop the fundamental equations for CO2-based DCV; 2) propose CO2-based and occupancy sensor-based DCV for multiple-zone HVAC systems; 3) evaluate the proposed DCV control strategies with energy simulation and airflow simulation.First, the validity of assumptions underlying CO2-based DCV was verified. The literature review concluded that: 1) since the CO2generation rate and odor generation rate are proportional, the zone-to-discharge differential CO2concentration can be used as a signifier of human odors in a space; 2) the bioeffluent generation rate is proportional to the number of occupants and their activity levels; 3) CO2sensing can be used to estimate the strength of occupant-related contaminant sources.