2022
DOI: 10.1016/j.buildenv.2022.109171
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Predicting non-uniform indoor air quality distribution by using pulsating air supply and SVM model

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Cited by 14 publications
(4 citation statements)
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“…( 1) is based on the assumption that the indoor air is well mixed, which is reasonably acceptable for the widely used air distribution, i.e., mixing ventilation (Rudnick and Milton 2003;Zhang et al 2021a;Lu et al 2022a). For non-uniform air distribution (Tian et al 2022), the contaminant removal efficiency can be introduced to indicate the non-uniform indoor contaminant distribution (Sun and Zhai 2020), which is not the focus of this study.…”
Section: Brief Introduction Into Occupancy-aided Ventilation Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…( 1) is based on the assumption that the indoor air is well mixed, which is reasonably acceptable for the widely used air distribution, i.e., mixing ventilation (Rudnick and Milton 2003;Zhang et al 2021a;Lu et al 2022a). For non-uniform air distribution (Tian et al 2022), the contaminant removal efficiency can be introduced to indicate the non-uniform indoor contaminant distribution (Sun and Zhai 2020), which is not the focus of this study.…”
Section: Brief Introduction Into Occupancy-aided Ventilation Methodsmentioning
confidence: 99%
“…Under this scenario, the targeted working productivity is the prerequisite, and the lower airborne infection risk indicates better effectiveness. The widely used airborne infection risk index (Tian et al 2022), i.e., rebreathed fraction, is adopted. The rebreathed fraction is defined as the proportion of exhaled air in the inhaled air (Li et al 2022).…”
Section: Scenarios For Effectiveness Evaluation Of Occupancyaided Ven...mentioning
confidence: 99%
“…It is used in sensor-based monitoring systems to increase the accuracy and efficiency of odor quality assessments in outdoor environments (Wu et al, 2021). Based on the odor index, an accuracy of up to 95% was obtained with the MLP algorithm in estimating indoor air quality (Chang & Lin, 2020). Also, this method is efficient and cost-effective for monitoring indoor air quality.…”
Section: Odormentioning
confidence: 98%
“…In contrast to residential and office structures, individuals are more likely to exit unfavorable indoor environments in retail establishments [6]. Because humans spend so much time inside, indoor air quality (IAQ) significantly impacts human health and has received a great deal of attention in recent decades [7][8][9][10][11][12][13]. Indoor environments expose individuals to a range of air pollutants, including various size fractions of particulate matter (PM1, PM2.5, PM10) and gaseous pollutants such as carbon monoxide (CO), carbon dioxide (CO 2 ), nitrogen dioxide (NO 2 ), ozone (O 3 ), sulfur dioxide (SO 2 ), and volatile organic compounds (VOCs).…”
Section: Introductionmentioning
confidence: 99%