Yanju Li, Xinyan Chen, Yu Wang, 等. Effects of environmental factors, measurement and modeling for germicidal efficiency of in-duct ultraviolet germicidal irradiation system[J]. 能源与人工环境(英文), 2025,(5):826-833.
Yanju Li, Xinyan Chen, Yu Wang, et al. Effects of environmental factors, measurement and modeling for germicidal efficiency of in-duct ultraviolet germicidal irradiation system[J]. Energy and Built Environment, 2025, (5): 826-833.
Yanju Li, Xinyan Chen, Yu Wang, 等. Effects of environmental factors, measurement and modeling for germicidal efficiency of in-duct ultraviolet germicidal irradiation system[J]. 能源与人工环境(英文), 2025,(5):826-833. DOI: 10.1016/j.enbenv.2024.03.006.
Yanju Li, Xinyan Chen, Yu Wang, et al. Effects of environmental factors, measurement and modeling for germicidal efficiency of in-duct ultraviolet germicidal irradiation system[J]. Energy and Built Environment, 2025, (5): 826-833. DOI: 10.1016/j.enbenv.2024.03.006.
Effects of environmental factors, measurement and modeling for germicidal efficiency of in-duct ultraviolet germicidal irradiation system
摘要
Abstract
In-duct ultraviolet germicidal irradiation (UVGI) systems effectively decontaminate airborne microorganisms that are present in duct air. In this study
the main objectives were to determine the effects of temperature
relative humidity (RH)
air velocity
and measurement on the germicidal efficiency of in-duct UVGI and to analyze three germicidal kinetic models.
Staphylococcus albus
and
Escherichia coli
were selected as the test bacteria. The maximum UV disinfection efficacy was observed in the temperature range of 26–28 °C and RH range of 30–40 %. The germicidal efficiency of the in-duct UVGI was negatively corelated with air velocity. When the UV lamps were arranged either parallel or vertical to the airflow
there were no obvious differences in-duct UVGI germicidal efficiency. In addition
three mathematical prediction models (C-W model
C-S model
Hom model) were chosen to predict the efficacy of in-duct UVGI in specific applications. The C-S model was fitted to predict the efficacy of