Three‐dimensional CFD model for a flat plate photocatalytic reactor: Degradation of TCE in a serpentine flow field

Jarandehei, Asefeh; Visscher, Alex De

doi:10.1002/aic.11692

Cited by 21 publications

(8 citation statements)

References 45 publications

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“…Jarandehei and De Visscher 113 have performed the modeling of the kinetic degradation of trichloroethylene (TCE) using a kinetic expression remarkably close to that of Alfano et al . 53,112 The kinetic equation was simplified to represent only one reactant.…”

Section: Photoreactor Model Development: Governing Equationsmentioning

confidence: 99%

Main parameters influencing the design of photocatalytic reactors for wastewater treatment: a mini review

Sacco

Vaiano

Sannino

2020

J of Chemical Tech & Biotech

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The research in the heterogeneous photocatalysis to remove different types of pollutants in liquid phase has notably increased in the last years. The main objectives of the research dealing with photocatalysis were: (i) to shift the photoactivity of catalysts in the visible light range or to increase the degradation rate; (ii) the use of the artificial light sources (low pressure lamp, high pressure lamp, LEDs, and optical fibers) and solar light; (iii) photocatalysts recovering and deactivation; (iv) photoreactor configuration; (v) photodegradation of contaminants of emerging concern; and (vi) verification of induced effects from the photocatalytic treatment, such as the induction of bacterial resistance. Here, one of the main problems in the practical application of photocatalysis, which is the photoreactors scale‐up, is addressed with the use of mathematical modeling. In this perspective, this mini review reports a literature exam of the main parameters that are important to take into account for the design and the development of photoreactors for wastewater treatment, and through the use of computational fluid dynamics models (CFD). © 2020 Society of Chemical Industry

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Section: Photoreactor Model Development: Governing Equationsmentioning

confidence: 99%

Main parameters influencing the design of photocatalytic reactors for wastewater treatment: a mini review

Sacco

Vaiano

Sannino

2020

J of Chemical Tech & Biotech

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“…In the above-mentioned equations, ρ is density, U is velocity, P is pressure, τ is viscous stress tensor, µ is molecular viscosity, I is unit tensor, m i is the mass fraction of species i, N is the total number of species, and D m is the molecular diffusivity of species i in the mixture [47]. This model has been successfully applied in the CFD simulations of photocatalytic reactors [43,45,46,49,50,53,[64][65][66][67][68]. This model is preferred for gas-phase photocatalytic reactions.…”

Section: Hydrodynamics Modelingmentioning

confidence: 99%

“…In general, the CFD method is widely used in the development of catalytic reactors and analysis of the systems involving fluid flows and heat transfer to understand the interactions of the catalyst with the surrounding reactive flow field in catalytic reactors (gas-solid, liquid-solid, and gas-liquid-solid) [39,40]. In the case of photocatalytic reactors, the CFD-aided modeling procedure also introduces the simulation of fluid flows (single-and multi-phase) and solves the RTE [32,37,[41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57]. In the case of slurry photoreactor systems, there is the concept of local volumetric rate of energy absorption (LVREA), defined as the energy required by photons absorbed per time and volume inside the photoreactor.…”

Section: Introductionmentioning

confidence: 99%

Computer Simulations of Photocatalytic Reactors

Janczarek

Kowalska

2021

Catalysts

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Photocatalysis has been considered future technology for green energy conversion and environmental purification, including carbon dioxide reduction, water splitting, air/water treatment, and antimicrobial purposes. Although various photocatalysts with high activity and stability have already been found, the commercialization of photocatalytic processes seems to be slow; it is thought that the difficulty in scaling up photocatalytic processes might be responsible. Research on the design of photocatalytic reactors using computer simulations has been recently intensive. The computer simulations involve various methods of hydrodynamics, radiation, and mass transport analysis, including the Monte Carlo method, the approximation approach–P1 model, and computational fluid dynamics as a complex simulation tool. This review presents all of these models, which might be efficiently used for the scaling-up of photocatalytic reactors. The challenging aspects and perspectives of computer simulation are also addressed for the future development of applied photocatalysis.

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“…One of the main objectives of the optimization investigations are the identification of mass transfer limitations (external and internal) and CFD is extensively used for predicting velocity fields, concentration gradients and the photoreaction rate. CFD modeling for predicting the performance of various photocatalytic reactor concepts [60] Degradation of an organic pollutant Annular Dependence of the degradation rate on dimensionless parameters [59] Degradation of dichloroacetic acid Flat-plate Mass transport limitations [61,62] Degradation of ammonia and butiric acid Annular Influence of mass transfer on kinetics [63] Degradation of thrichloroethylene Flat-plate CFD modeling to study the velocity field and concentration gradient [64] Degradation of benzoic acid Annular CFD modeling to predict the degradation rate over different operating regimes [65] Degradation of shower water Annular CFD modeling for relating the degradation rate with operating regimes [32] Degradation of parachlorobenzoic acid Annular CFD modeling for predicting the degradation rate [66] Degradation of salicylic acid Microreactor CFD modeling for investigating the influence of reactor geometry on photocatalytic efficiency [67] Non-catalyzed reaction Microreactor Diffusion limitations; guidelines for operating conditions required for avoiding diffusion limitations [13] Degradation of methylene blue Flat-plate CFD modeling for reactor optimization [68] UV disinfection Baffled cylindrical CFD modeling for photoreactor optimization [69]…”

Section: Modeling For Reactor Optimizationmentioning

confidence: 99%

Modeling of Photochemical Processes in Continuous-Flow Reactors

Roibu

Kuhn

2017

Photochemical Processes in Continuous-Flow Reactors

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Despite the progress in the past decades in the area of light-driven reactions, only a limited number of photochemical reactions is implemented at large scale. [1,2] The major hurdle which needs to be overcome is linked to the scale-up strategy. [3] The limited light penetration (described by Lambert-Beer's law) rapidly decreases the transformation efficiency in large-scale batch reactors as only non-uniform light intensities are achieved in the vessel. However, using continuous flow reactors provides an avenue for efficient scale-up. Moreover, the characteristic reactor sizes on the micro-or milli-scale allow for a homogeneous light distribution in the reacting volume and advanced designs ensure sufficient productivity at the desired scale. [4] Another reason is the difficulty of modeling photochemical reactors. [3] Scaling-up can be realized by starting working with a laboratory-scale reactor and continue by gradually increasing the reactor size until reaching the desired productivity or by predicting the performance of the large scale reactor with mathematical modeling. Modeling is more precise and cost efficient, but is characterized by a higher complexity. [5,6] Consequently, most pilot-scale photoreactors are still designed using empirical or semiempirical methods. [7] Predicting the performance of a large-scale reactor of a different geometry than the one investigated in the laboratory requires knowing the intrinsic kinetic parameters of the reaction. [6,8] Alfano and Cassano described a methodology for scaling-up photoreactors which uses modeling at small and large scale: firstly for determination of the kinetic parameters and then for predicting the pilot-scale reactor performance. [8] This chapter aims to introduce the main concepts of a holistic scale-up strategy based on combined modeling and experiments. We will highlight the important steps of photoreactor modeling such as the kinetic model, radiance, mass and momentum balance etc., and which are the variables to be exchanged between them to ensure efficient and robust scaling. Furthermore, examples from various application fields of photochemistry, e.g. water treatment and synthetic chemistry, will be offered to illustrate the implementation of the described concepts. This chapter will appeal to both chemical engineers and chemists aiming to develop modeling as a tool for scaling-up photochemical reactors. Modeling continuous photochemical processes for photoreactor scaling-upAlfano and Cassano reported a scale-up methodology based on photoreactor modeling by coupling the radiation, mass and momentum balances with the kinetic model. [8] Figure 1.1 presents the main steps of this method and was adapted from the flow scheme reported by Ghafoori. [6]

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Three‐dimensional CFD model for a flat plate photocatalytic reactor: Degradation of TCE in a serpentine flow field

Cited by 21 publications

References 45 publications

Main parameters influencing the design of photocatalytic reactors for wastewater treatment: a mini review

Main parameters influencing the design of photocatalytic reactors for wastewater treatment: a mini review

Computer Simulations of Photocatalytic Reactors

Modeling of Photochemical Processes in Continuous-Flow Reactors

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