A comprehensive analysis of the intervention of a fresh air ventilation system on indoor air quality in classrooms

Chen, Yuhao; Tu, Yen-Pei; Sung, Shih-Yi; Weng, Wei-Cheng; Huang, Haibo; Tsai, Ying I.

doi:10.1016/j.apr.2022.101373

Cited by 20 publications

(11 citation statements)

References 48 publications

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“…Common outdoor air contaminants include particulate matter, allergens, and ground-level ozone. Common indoor air contaminants include mold, radon, secondhand smoke, and dust [8].…”

Section: Introductionmentioning

confidence: 99%

“…While these methods can provide some level of dust reduction, they often have limitations in terms of efficiency, scalability, and real-time monitoring. Thus, the proposed model aims to overcome these limitations by developing an active and responsive system that can detect elevated dust levels and initiate immediate dust suppression measures [6,8].…”

Section: Introductionmentioning

confidence: 99%

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Automatic Dust Reduction System: An IoT Intervention for Air quality

Zakri,

Zamzami,

Babour

2024

IJACSA

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Air quality is of great importance due to its direct impact on the environment, human health, and quality of life. It could be affected negatively by the presence of dust particles in the atmosphere. Thus, it is vital to purify air from dust and mitigate its impact on air quality. In this regard, dust sensors play a vital role in monitoring and measuring airborne dust particles. They utilize various techniques, such as optical scattering, to detect and quantify the concentration of dust in the air. Microcontrollers are powerful and versatile devices, which have been widely used in many Internet of Things (IoT) applications. They process the collected data from sensors and react accordingly by controlling the operation of IoT devices. Accordingly, the primary goal of this paper is to develop a model for reducing the amount of dust and other particulates in the air to improve its quality. In addition to the microcontroller, which controls the overall operation of the proposed model, two other main components are utilized: a sensor and a sprinkler. The results of the model have shown that it can successfully reduce the dust concentration and suppress the dust intensity to less than 0.1%. The result concluded that the proposed model achieved its primary goals by integrating sensors and sprinkler into an intelligent dust removal model.

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“…Common outdoor air contaminants include particulate matter, allergens, and ground-level ozone. Common indoor air contaminants include mold, radon, secondhand smoke, and dust [8].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automatic Dust Reduction System: An IoT Intervention for Air quality

Zakri,

Zamzami,

Babour

2024

IJACSA

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“…A study in Albania found that the average weekly CO 2 levels during classes ranged from 1286 to 5546 ppm [7]. The CO 2 concentration in enclosed air-conditioned classrooms is generally greater than 2500 ppm and occasionally reaches 3500 ppm [8].…”

Section: Introductionmentioning

confidence: 99%

Effects of Increasing Indoor Negative Air Ions on Cognitive Performance and Health of High Pure CO2 Level-Exposed College Students

Guo

Sun

et al. 2023

Indoor Air

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Cognitive performance is essential to foster learning. High CO2 concentrations are common in classrooms and can lead to reduced cognitive performance. Negative air ions (NAIs) can improve cognitive performance. This study explored the effects of indoor NAIs on the cognitive performance and health of college students exposed to a high pure CO2 environment. Forty college students were exposed to four sets of conditions (NAIs+500 ppm CO2, 500 ppm CO2, NAIs+2500 ppm CO2, and 2500 ppm CO2). Participants’ cognitive performance, including reasoning, short-term memory, concentration, and verbal ability, was assessed under each condition using the Cambridge Brain Sciences tool. Acute health symptoms were investigated using a subjective questionnaire, and simultaneously, participants’ blood pressure, heart rate, and lung function were tested. Analysis of variance (ANOVA) in a repeated-measures design was used to analyze the effects of different conditions on cognitive performance and health symptoms. The results revealed that the different levels of CO2 and NAIs had a significant effect on cognitive performance after one hour of exposure and had no significant effect after three hours of exposure. Compared with 500 ppm CO2, 500 ppm CO2+NAIs resulted in better reasoning skills, short-term memory, and verbal skills, and 2500 ppm CO2 led to poorer reasoning skills. The addition of NAIs to 2500 ppm CO2 improved reasoning skills, short-term memory, and verbal skills. The benefits of adding NAIs to high pure CO2 condition on cognitive performance are more noticeable than those to low CO2 condition. Moreover, adding NAIs can reduce nasal irritation or dryness, skin irritation or dryness, sleepiness symptoms, and heart rate elevation caused by pure CO2. However, the benefits of NAIs on health symptoms and physiology were not observed under the 500 ppm CO2 condition. Adding NAIs to a high pure CO2 level is an effective means to improve the cognitive performance and health of college students.

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“…Dionova et al [31] proposed a fuzzy logic controller (FLC)-based EIAQ monitoring and control system by using the ambient-indoor-air-quality index (EI-AQI) as the main reference indicator state level. Chen et al [32] investigated the CO2 and PM2.5 concentrations in 86 air-conditioned classrooms in primary and secondary schools in southern Taiwan and synthesised the effects of fresh-air ventilation systems on classroom-indoor air quality. Xie et al [33] investigated the indoor air quality of badminton courts during the wet season to investigate the indoor-air-quality characteristics of natu- Indoor health issues and adverse health effects of exposure to air pollution have attracted considerable attention worldwide, especially since the COVID-19 outbreak [20,21].…”

Section: Introductionmentioning

confidence: 99%

Indoor Air Quality in Tujia Dwellings in Hunan, China: Field Tests, Numerical Simulations, and Mitigation Strategies

Zhang

Shi

Liu

et al. 2022

IJERPH

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Air pollution is a major health hazard. The traditional habits and unique ethnic fire culture in Hunan Tujia region result in the long-term exposure of residents, especially elderly people, to pollutants. In this study, we conducted field monitoring and assessment of indoor pollutants in the residential houses of Hunan Tujia families and subsequently visualised and simulated fire pollutants in representative residential houses by using fire-dynamic-simulator software. Pollutant-control strategies, using passive smoke collectors and resizing windows, were proposed and simulated for validation. The results revealed that passive smoke collectors reduced the pollutant concentration in the hall house by 43.96%. Furthermore, the optimal window size was 1500 mm × 1500 mm, and the most reasonable windowsill height of the firepit was 1800 mm. The results of the study can be used to improve the indoor air quality of Tujia dwellings and mitigate the adverse health effects of exposure to indoor air pollution without restricting ethnic beliefs and traditional customs.

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A comprehensive analysis of the intervention of a fresh air ventilation system on indoor air quality in classrooms

Cited by 20 publications

References 48 publications

Automatic Dust Reduction System: An IoT Intervention for Air quality

Automatic Dust Reduction System: An IoT Intervention for Air quality

Effects of Increasing Indoor Negative Air Ions on Cognitive Performance and Health of High Pure CO2 Level-Exposed College Students

Indoor Air Quality in Tujia Dwellings in Hunan, China: Field Tests, Numerical Simulations, and Mitigation Strategies

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