Zonal demand-controlled ventilation strategy to minimize infection probability and energy consumption: A coordinated control based on occupant detection

Due to the outbreak of COVID-19, an increased risk of airborne transmission has been experienced in buildings, particularly in confined public places. The need for ventilation as a means of infection prevention has become more pronounced given that some basic precautions (like wearing masks) are no...

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Bibliographic Details
Published in:	Environmental pollution (1987) Vol. 345; p. 123550
Main Authors:	Ren, Chen, Yu, Hanhui, Wang, Junqi, Zhu, Hao-Cheng, Feng, Zhuangbo, Cao, Shi-Jie
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 15.03.2024
Subjects:	Air Conditioning Air Pollution, Indoor - analysis Air Pollution, Indoor - prevention & control airborne transmission Artificial neural network (ANN) carbon dioxide Coordinated control COVID-19 infection energy energy conservation Energy saving Environmental Pollutants Infection prevention neural networks Occupant detection pollutants pollution pollution control prediction Respiration risk Ventilation viruses Zonal demand-controlled ventilation (ZDCV) Coordinated control Infection prevention Artificial neural network (ANN) Energy saving Occupant detection Zonal demand-controlled ventilation (ZDCV)
ISSN:	0269-7491, 1873-6424, 1873-6424
Online Access:	Get full text
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