National Institute of Standards and Technology, Gaithersburg, MD, USA.
Department of Nutrition and Food Studies, George Mason University, Fairfax, VA, USA.
Indoor Air. 2017 Sep;27(5):868-879. doi: 10.1111/ina.12383. Epub 2017 Apr 27.
Indoor carbon dioxide (CO ) concentrations have been used for decades to characterize building ventilation and indoor air quality. Many of these applications require rates of CO generation from the building occupants, which are currently based on approaches and data that are several decades old. However, CO generation rates can be derived from well-established concepts within the fields of human metabolism and exercise physiology, which relate these rates to body size and composition, diet, and level of physical activity. This paper reviews how CO generation rates have been estimated in the past and discusses how they can be characterized more accurately. Based on this information, a new approach to estimating CO generation rates is presented, which is based on the described concepts from the fields of human metabolism and exercise physiology. Using this approach and more recent data on body mass and physical activity, values of CO generation rates from building occupants are presented along with the variability that may occur based on body mass and activity data.
几十年来，室内二氧化碳（CO ）浓度一直被用于描述建筑物通风和室内空气质量。这些应用中的许多都需要建筑物使用者产生 CO 的速率，而目前这些速率是基于几十年前的方法和数据得出的。然而，CO 的生成速率可以从人体新陈代谢和运动生理学领域的成熟概念中推导出来，这些概念将这些速率与体型和组成、饮食和身体活动水平联系起来。本文回顾了过去如何估算 CO 的生成速率，并讨论了如何更准确地描述它们。基于这些信息，提出了一种新的估算 CO 生成速率的方法，该方法基于人体新陈代谢和运动生理学领域的描述性概念。使用这种方法和关于体重和身体活动的最新数据，本文提供了建筑物使用者产生 CO 的生成速率值以及基于体重和活动数据可能出现的变化。
