Franco Alessandro, Leccese Francesco
University of Pisa, Department of Energy, Systems, Territory and Constructions Engineering (DESTeC), Pisa, Italy.
J Build Eng. 2020 Nov;32:101714. doi: 10.1016/j.jobe.2020.101714. Epub 2020 Aug 7.
The measurement of CO concentration is a relevant indicator for defining the occupation of indoor spaces. The real-time knowledge of occupation of such spaces is relevant both for maintaining indoor air quality standards and for energy efficiency purposes connected with the operation of heating, ventilation, and air-conditioning (HVAC) systems. The exact knowledge of occupation allows for rapid feedback from and the regulation of an HVAC system and the ventilation rate. Interesting applications include educational buildings and other buildings of the civil sector (e.g., shopping centres and hospitals). This paper provides the results of an experimental analysis in different classrooms of a university campus under real operating conditions, in different periods of the year, and with different kinds of activities. The correlation between the CO concentration and occupancy profiles of the spaces is then analysed. Some graphical trends of the CO concentrations in these indoor spaces are provided to determine the most important variables affecting such concentrations. The basic elements of the mathematical models for estimating the occupation of classrooms in relation to increases in CO concentration are also discussed and analysed.
一氧化碳(CO)浓度的测量是界定室内空间使用情况的一项重要指标。了解此类空间的实时使用情况,对于维持室内空气质量标准以及与供暖、通风和空调(HVAC)系统运行相关的能源效率而言都至关重要。准确掌握使用情况有助于HVAC系统快速反馈并进行调节,还能控制通风速率。有趣的应用场景包括教育建筑以及民用领域的其他建筑(如购物中心和医院)。本文给出了在大学校园不同教室、一年中不同时段以及不同活动类型的实际运行条件下进行的实验分析结果。接着分析了空间内CO浓度与使用情况分布之间的相关性。提供了这些室内空间中CO浓度的一些图形趋势,以确定影响此类浓度的最重要变量。还讨论并分析了用于估算教室使用情况与CO浓度增加之间关系的数学模型的基本要素。