LAPSE:2023.4293
Published Article

LAPSE:2023.4293
Turbulence Enhancement and Mixing Analysis for Multi-Inlet Vortex Photoreactor for CO2 Reduction
February 22, 2023
Abstract
In this article, we describe a prototype photoreactor of which the geometrical configuration was obtained by Genetic Algorithms to maximize the residence time of the reactant gases. A gas reaction mixture of CO2:H2O (1:2 molar ratio) was studied from the fluid dynamic point of view. The two main features of this prototype reactor are the conical shape, which enhances the residence time as compared to a cylindrical shape reference reactor, and the inlet heights and position around the main chamber that enables turbulence and mass transfer control. Turbulence intensity, mixing capability, and residence time attributes for the optimized prototype reactor were calculated with Computational Fluid Dynamics (CFD) software and compared with those from a reference reactor. Turbulence intensity near the envisioned catalytic bed was one percentage point higher in the reference than in the optimized prototype reactor. Finally, the homogeneity of the mixture was guaranteed since both types of reactors had a turbulent regime, but for the prototype the CO2 mass fraction was found to be better distributed.
In this article, we describe a prototype photoreactor of which the geometrical configuration was obtained by Genetic Algorithms to maximize the residence time of the reactant gases. A gas reaction mixture of CO2:H2O (1:2 molar ratio) was studied from the fluid dynamic point of view. The two main features of this prototype reactor are the conical shape, which enhances the residence time as compared to a cylindrical shape reference reactor, and the inlet heights and position around the main chamber that enables turbulence and mass transfer control. Turbulence intensity, mixing capability, and residence time attributes for the optimized prototype reactor were calculated with Computational Fluid Dynamics (CFD) software and compared with those from a reference reactor. Turbulence intensity near the envisioned catalytic bed was one percentage point higher in the reference than in the optimized prototype reactor. Finally, the homogeneity of the mixture was guaranteed since both types of reactors had a turbulent regime, but for the prototype the CO2 mass fraction was found to be better distributed.
Record ID
Keywords
Computational Fluid Dynamics, Genetic Algorithm, molar rate control, multi-inlet vortex reactor, residence time distribution
Subject
Suggested Citation
Valdés J, Domínguez-Juárez JL, Nava R, Cuán Á, Cortés-Romero CM. Turbulence Enhancement and Mixing Analysis for Multi-Inlet Vortex Photoreactor for CO2 Reduction. (2023). LAPSE:2023.4293
Author Affiliations
Valdés J: Facultad de Ingeniería, Universidad Autónoma de Querétaro, Santiago de Querétaro 76140, Mexico [ORCID]
Domínguez-Juárez JL: Centro de Física Aplicada y Tecnología Avanzada, UNAM-Querétaro, Santiago de Querétaro 76230, Mexico; Cátedras CONACyT, Centro de Física Aplicada y Tecnología Avanzada, Universidad Nacional Autónoma de México, Juriquilla, Santiago de Querétaro 7 [ORCID]
Nava R: Facultad de Ingeniería, Universidad Autónoma de Querétaro, Santiago de Querétaro 76140, Mexico [ORCID]
Cuán Á: Facultad de Ingeniería, Universidad Autónoma de Querétaro, Santiago de Querétaro 76140, Mexico
Cortés-Romero CM: Facultad de Química, Universidad Autónoma de Querétaro, Santiago de Querétaro 76140, Mexico
Domínguez-Juárez JL: Centro de Física Aplicada y Tecnología Avanzada, UNAM-Querétaro, Santiago de Querétaro 76230, Mexico; Cátedras CONACyT, Centro de Física Aplicada y Tecnología Avanzada, Universidad Nacional Autónoma de México, Juriquilla, Santiago de Querétaro 7 [ORCID]
Nava R: Facultad de Ingeniería, Universidad Autónoma de Querétaro, Santiago de Querétaro 76140, Mexico [ORCID]
Cuán Á: Facultad de Ingeniería, Universidad Autónoma de Querétaro, Santiago de Querétaro 76140, Mexico
Cortés-Romero CM: Facultad de Química, Universidad Autónoma de Querétaro, Santiago de Querétaro 76140, Mexico
Journal Name
Processes
Volume
9
Issue
12
First Page
2237
Year
2021
Publication Date
2021-12-13
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr9122237, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.4293
This Record
External Link

https://doi.org/10.3390/pr9122237
Publisher Version
Download
Meta
Record Statistics
Record Views
275
Version History
[v1] (Original Submission)
Feb 22, 2023
Verified by curator on
Feb 22, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.4293
Record Owner
Auto Uploader for LAPSE
Links to Related Works
