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Three‐dimensional developing flow model for photocatalytic monolith reactors
Author(s) -
Hossain Md. Moazzem,
Raupp Gregory B.,
Hay Steven O.,
Obee Timothy N.
Publication year - 1999
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690450615
Subject(s) - monolith , photocatalysis , kinetic energy , diffusion , materials science , reaction rate , mechanics , chemistry , nuclear engineering , thermodynamics , catalysis , physics , biochemistry , quantum mechanics , engineering
A first‐principles mathematical model describes performance of a titania‐coated honeycomb monolith photocatalytic oxidation (PCO) reactor for air purification. The single‐channel, 3‐D convection–diffusion–reaction model assumes steady‐state operation, negligible axial dispersion, and negligible homogeneous reaction. The reactor model accounts rigorously for entrance effects arising from the developing fluid‐flow field and uses a previously developed first‐principles radiation‐field submodel for the UV flux profile down the monolith length. The model requires specification of an intrinsic photocatalytic reaction rate dependent on local UV light intensity and local reactant concentration, and uses reaction‐rate expressions and kinetic parameters determined independently using a flat‐plate reactor. Model predictions matched experimental pilot‐scale formaldehyde conversion measurements for a range of inlet formaldehyde concentrations, air humidity levels, monolith lengths, and for various monolith/lamp‐bank configurations. This agreement was realized without benefit of any adjustable photocatalytic reactor model parameters, radiation‐field submodel parameters, or kinetic submodel parameters. The model tends to systematically overpredict toluene conversion data by about 33%, which falls within the accepted limits of experimental kinetic parameter accuracy. With further validation, the model could be used in PCO reactor design and to develop quantitative energy utilization metrics.