Modeling photocatalytic conversion of carbon dioxide in bubbling twin reactor

Chu, Fengming; Li, Shang; Chen, Huiyao; Yang, Lijun; Ola, Oluwafunmilola; Maroto-Valer, Mercedes; Du, Xiaoze; Yang, Yongping

Abstract

The production of valued added fuels and chemicals via photocatalytic carbon dioxide reduction has attracted increasing attentions in recent years. Based on the traditional twin reactor configuration, a novel bubbling twin reactor is proposed to improve the conversion of carbon dioxide to methanol in this work. The multiphysical model for the bubbling twin reactor is developed and numerically simulated. The variations of the methanol production with the gas inlet flow velocity and gas inlet number are obtained. The results show that the bubbling twin reactor has a higher carbon dioxide conversion efficiency than the traditional one. Moreover, the methanol production subsequently increases as the gas inlet velocity increases. With the constant inlet gas volumetric flow rate, the production of methanol can be improved by increasing the gas inlet number.

Citation

Chu, F., Li, S., Chen, H., Yang, L., Ola, O., Maroto-Valer, M., Du, X., & Yang, Y. (2017). Modeling photocatalytic conversion of carbon dioxide in bubbling twin reactor. Energy Conversion and Management, 149, 514-525. https://doi.org/10.1016/j.enconman.2017.07.049

• Journal Article Type: Article
• Acceptance Date: Jul 23, 2017
• Online Publication Date: Jul 29, 2017
• Publication Date: 2017-10
• Deposit Date: May 4, 2020
• Journal: Energy Conversion and Management
• Print ISSN: 0196-8904
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 149
• Pages: 514-525
• DOI: https://doi.org/10.1016/j.enconman.2017.07.049
• Public URL: https://nottingham-repository.worktribe.com/output/4380972
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0196890417306854
• Additional Information: This article is maintained by: Elsevier; Article Title: Modeling photocatalytic conversion of carbon dioxide in bubbling twin reactor; Journal Title: Energy Conversion and Management; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.enconman.2017.07.049; Content Type: article; Copyright: © 2017 Elsevier Ltd. All rights reserved.