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Mathematical model based on the radiosity method for estimating the efficiency of in-duct UVGI systems
Science & Technology for the Built Environment ; : 1-21, 2022.
Article in English | Academic Search Complete | ID: covidwho-1860770
ABSTRACT
The article describes a model for calculating the killing ratio of different pathogens with an in-duct ultraviolet (UV) device. The model is based on the radiosity method adapted for the UV radiation range and can be used for analysing any lamp distribution. The paper provides the necessary view factors and the influence of environmental variables (temperature, humidity and air velocity) in the analysis.The model has been validated using the results of four commercial equipment certificates issued by the US Environmental Protection Agency (EPA). The model results show a high precision on the test results, with a maximum deviation of 9%. In all cases, the model results are lower than that of the test, which allows being on the side of safety in the design.The model has been programmed in software used by Steril-Air for designing its equipment. Finally, an example of calculating the SARS-CoV-2 killing ratio with a 4x2 lamps arrangement is shown. [ FROM AUTHOR] Copyright of Science & Technology for the Built Environment is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Language: English Journal: Science & Technology for the Built Environment Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Language: English Journal: Science & Technology for the Built Environment Year: 2022 Document Type: Article