Abstract:This work focuses on modeling and simulating the absorption and scattering of radiation in a photocatalytic annular reactor. To achieve so, a model based on four fluxes (FFM) of radiation in cylindrical coordinates to describe the radiant field is assessed. This model allows calculating the local volumetric rate energy absorption (LVREA) profiles when the reaction space of the reactors is not a thin film. The obtained results were compared to radiation experimental data from other authors and with the results … Show more
“…The DOM method transforms the RTE into a simplified system of algebraic equations able to describe the photons' transport. The system may be solved along the direction of propagation, starting from the imposed boundary conditions 27 . This method has been used to model the photons' transport in a variety of reactor configurations, such as slurry, 105 flat plate, 41 packed bed, 40 optical fibers, 106 monoliths, 107 and immobilized annular 49 reactors.…”
Section: Photoreactor Model Development: Governing Equationsmentioning
confidence: 99%
“…The scale‐up of a photoreactor requires the development of a mathematical model that is the enclosure of different sub‐models:12,25 the radiation emission model, the radiation absorption‐scattering model, the kinetic model, and the fluid‐dynamic model 26 . These sub‐models, when strongly interlinked, result in a complex system of integral‐differential equations that require numerical solutions 27 . Generally, the photocatalytic reaction rate is a function of the local volumetric rate energy absorption (LVREA), which is defined as the energy required to photons being absorbed per time and volume inside the photoreactor.…”
“…The DOM method transforms the RTE into a simplified system of algebraic equations able to describe the photons' transport. The system may be solved along the direction of propagation, starting from the imposed boundary conditions 27 . This method has been used to model the photons' transport in a variety of reactor configurations, such as slurry, 105 flat plate, 41 packed bed, 40 optical fibers, 106 monoliths, 107 and immobilized annular 49 reactors.…”
Section: Photoreactor Model Development: Governing Equationsmentioning
confidence: 99%
“…The scale‐up of a photoreactor requires the development of a mathematical model that is the enclosure of different sub‐models:12,25 the radiation emission model, the radiation absorption‐scattering model, the kinetic model, and the fluid‐dynamic model 26 . These sub‐models, when strongly interlinked, result in a complex system of integral‐differential equations that require numerical solutions 27 . Generally, the photocatalytic reaction rate is a function of the local volumetric rate energy absorption (LVREA), which is defined as the energy required to photons being absorbed per time and volume inside the photoreactor.…”
“…The discrete ordinates method (DOM) consists of transforming the RTE differential-integral form into a system of algebraic equations that can be solved by a computer (Jensen et al, 2007). This system of equations describes the transport of photons in a way that can be solved following the direction of propagation, starting from the values provided by the boundary conditions (Alvarado-Rolon et al, 2018). This method solves the RTE for a finite number of discrete solid angles, each associated with a vector direction (Casado et al, 2017a).…”
Section: Radiation Transport Modelingmentioning
confidence: 99%
“…The (Cambié et al, 2017)] and (ii) incident radiation flux under FSI and BSI mechanisms [reproduced from (Passalía et al, 2020)]. ability of this model to provide more accurate results for problems with a radiation field coupled with a chemical reaction has made it widely applied for photochemical application (Coelho, 2014;Alvarado-Rolon et al, 2018;Moreno et al, 2019;Lira et al, 2020;Peralta Muniz Moreira and Li Puma, 2021). For example, Passalía et al (2020) simulated an array of 18 LEDs to light a milli-reactor known as NETmix employing a DOM method, and they used the oxidation of trivalent arsenate to pentavalent arsenate in aqueous solutions as a reaction model [Figure 3 (ii)].…”
From the pharmaceutical industry’s point of view, photoredox catalysis has emerged as a powerful tool in the field of the synthesis of added-value compounds. With this method, it is possible to excite the catalyst by the action of light, allowing electron transfer processes to occur and, consequently, oxidation and reduction reactions. Thus, in association with photoredox catalysis, microreactor technology and continuous flow chemistry also play an important role in the development of organic synthesis processes, as this technology offers high yields, high selectivity and reduced side reactions. However, there is a lack of a more detailed understanding of the photoredox catalysis process, and computational tools based on computational fluid dynamics (CFD) can be used to deal with this and boost to reach higher levels of accuracy to continue innovating in this area. In this review, a comprehensive overview of the fundamentals of photoredox catalysis is provided, including the application of this technology for the synthesis of added-value chemicals in microreactors. Moreover, the advantages of the continuous flow system in comparison with batch systems are pointed out. It was also demonstrated how modeling and simulation using computational fluid dynamics (CFD) can be critical for the design and optimization of microreactors applied to photoredox catalysis, so as to better understand the reagent interactions and the influence of light in the reaction medium. Finally, a discussion about the future prospects of photoredox reactions considering the complexity of the process is presented.
“…These observations agree with the prior simulation and experimental work. 42 In the fluidized bed with a bed expansion height of H b = 40.2 mm and average solid fraction, ε s = 0.26, the radiation intensity attenuates highly in the solid photocatalyst particles, where the attenuation degree is a function of the solid concentration. Therefore, it can be concluded that the CO 2 photoreduction reaction mainly occurs in the thin area next to the inner wall.…”
Carbon dioxide (CO
2
) photoreduction is a promising process
for both mitigating CO
2
emissions and providing chemicals
and fuels. A gas–solid two-phase annular fluidized bed photoreactor
(FBPR) would be preferred for this process due to its high mass-transfer
rate and easy operation. However, CO
2
photoreduction using
the FBPR has not been widely researched to date. The Lagrangian multiphase
particle-in-cell (MP-PIC) simulation with computational fluid dynamic
models is a new and robust approach to explore the multiphase reaction
system in the gas–solid fluidized bed. Therefore, the purpose
of this paper is to investigate CO
2
photoreduction in the
FBPR by MP-PIC modeling to understand the intrinsic mechanism of solid
flow, species mass transfer, and CO
2
photoreaction. The
MP-PIC models for solid flow in the FBPR were validated by the bed
expansion height and bubble size. The results showed the particle
stress of the Lun model, the drag of the Ergun-WenYu (Gidaspow) model,
and the coefficient of restitution
e
= 0.95 with
the wall parameters
e
w
= 0.9 and μ
w
= 0.6 are the best fit to the experimental empirical correlations.
The MP-PIC models developed in this work proved to be better than
the Eulerian two-fluid modeling in the prediction of the bed expansion
height and bubble size. It was also found from the simulation results
that the maximum radiation intensity is in the half reactor height
area, and the photocatalytic reaction mainly occurred around the inner
wall. It showed that the gas velocity and catalyst loading were two
crucial operating parameters to control the process. The results reported
here can provide guidance for the operation and reactor design of
the CO
2
photoreduction process.
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