2004
DOI: 10.1002/aic.10107
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Light intensity distribution in a photocatalytic reactor using finite volume

Abstract: A conservative variant of discrete ordinate model was used to solve the radiation transport equation. The model prediction was used to assess the effect of wall reflectivity, catalyst loading, and phase function parameter on the light intensity distribution in an annular heterogeneous photocatalytic reactor. For relatively low catalyst loadings, thewall reflectivity strongly influenced the light intensity distribution. However, for an optically thick medium, the wall reflectivity had very little or no effect. … Show more

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Cited by 66 publications
(47 citation statements)
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“…Some of these necessary submodels are (a) radiation emission and incidence, (b) radiation absorption and scattering, (c) photoconversion kinetics, and (d) hydrodynamics [5, 13-15, 17, 18]. These are the result of mass, energy, and momentum balances, as well as radiation distribution and optical characterization of reaction space [6,16,19,20]. These submodels are strongly interlinked.…”
Section: Introductionmentioning
confidence: 99%
“…Some of these necessary submodels are (a) radiation emission and incidence, (b) radiation absorption and scattering, (c) photoconversion kinetics, and (d) hydrodynamics [5, 13-15, 17, 18]. These are the result of mass, energy, and momentum balances, as well as radiation distribution and optical characterization of reaction space [6,16,19,20]. These submodels are strongly interlinked.…”
Section: Introductionmentioning
confidence: 99%
“…This number was found to be sufficient to avoid the appearance of the ''ray effect''; and to overcome control angle overhang, 1 Â 1 pixelation was used. [47][48] Convergence of the numerical solution was assured by monitoring the scaled residuals to a criterion of at least 10 À4 for the continuity and momentum, and 10…”
Section: Numerical Solution Methods and Strategymentioning
confidence: 99%
“…Within the Fluent DO model the material properties, the lamp output, and angular discretization parameters are defined by the user (ANSYS, 2009). The angular discretization is a key parameter as it defines the distribution of the irradiation within the numerical model (Pareek, 2004). Although the average irradiation in the domain area will remain the same, the distribution of the irradiation will vary depending on the mesh and two parameters,  and , that define the discrete solid angles; the more angular divisions the more even the the resulting irradiation field.…”
Section: Computational Fluid Dynamics Modellingmentioning
confidence: 99%