Park Sowoo, Song Doosam, Jo Young Min, Park Ju-Hyeong, Lee Tae Jeong, Koo Junemo
School of Civil, Architectural Eng., and Landscape Architecture, Sungkyunkwan University, Suwon, South Korea.
Department of Environmental Science and Environmental Engineering, College of Engineering, Kyung Hee University, Yong-In, Gyung-Gi Do, South Korea.
Aerosol Sci Technol. 2023;57(5):467-485. doi: 10.1080/02786826.2023.2187691.
Considering the hazardous effects of particulate matter (PM) exposure on students and teachers and the high PM concentration issue in South Korea, air purifiers have recently been installed in most classrooms to improve air quality. However, some on-site challenges, such as operational costs and noise, have been issues with the continuous operation of air purifiers. Therefore, a guideline is needed to dynamically predict the indoor PM concentration based on the changes in outdoor PM concentration and activate the air purifiers only when necessary. This study develops a grey-box model that uses measured data and physical differential equations to perform the given objective and verifies its accuracy using ASTM D5157. Modeling and analysis results have obtained information that can form the basis for developing guidelines to address PM issues in schools: The air purifier should be operated during periods where the predicted values exceed the limit in closed windows and the air purifier is not operating. It was also confirmed that the need for the operation of the air purifier varies between schools and classrooms under the same outdoor PM concentration. Indoor PM concentration increased significantly after students' simultaneous mass movement, necessitating air purifiers' operation before and after the events. The prefilter of the heater also aided in the removal of coarse PM. Additionally, the limitations and future development directions of the model were discussed.
考虑到颗粒物(PM)暴露对学生和教师的有害影响以及韩国的高PM浓度问题,最近大多数教室都安装了空气净化器以改善空气质量。然而,一些现场挑战,如运营成本和噪音,一直是空气净化器持续运行的问题。因此,需要一个指南来根据室外PM浓度的变化动态预测室内PM浓度,并仅在必要时启动空气净化器。本研究开发了一种灰箱模型,该模型使用测量数据和物理微分方程来实现给定目标,并使用ASTM D5157验证其准确性。建模和分析结果获得了可为制定解决学校PM问题的指南提供依据的信息:空气净化器应在预测值超过关闭窗户且空气净化器未运行时的限值期间运行。还证实,在相同的室外PM浓度下,不同学校和教室对空气净化器运行的需求有所不同。学生同时大规模移动后,室内PM浓度显著增加,因此需要在活动前后运行空气净化器。加热器的预过滤器也有助于去除粗颗粒物。此外,还讨论了该模型的局限性和未来发展方向。