Abstract
Modeling of a UV-C LED air treatment duct showed that use of highly reflective duct surfaces significantly increased microbial inactivation and minimized the impact of LED positions on inactivation levels. This result was independent of the number of LEDs used. Four wall reflection resulted in higher inactivation rates than solely side-side or top–bottom surface reflection, but beyond three reflections of intensity the number of LEDs controlled the maximum inactivation. The model consisted of a radiation routine which calculated fluence rate from LED intensities and specular surface reflection, integrated with a fluid flow routine which determined air residence time and an inactivation routine which combined microbe inactivation rate constants with fluence levels. Model predictions compared well with data from a 2-cm square test treatment system that achieved 99.9% inactivation of Staphylococcus aureus at low flow rates. These results can guide treatment system designs and expand modeling capabilities for such systems.
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