Dominated flow parameters applied in a recirculation microbial fuel cell. (December 2020)
- Record Type:
- Journal Article
- Title:
- Dominated flow parameters applied in a recirculation microbial fuel cell. (December 2020)
- Main Title:
- Dominated flow parameters applied in a recirculation microbial fuel cell
- Authors:
- Wang, Chin-Tsan
Chen, Yan-Ming
Tang, Raymond Chong Ong
Garg, Akhil
Ong, Hwai-Chyuan
Yang, Yung-Chin - Abstract:
- Graphical abstract: Flow dimensionless numbers applied in a recirculation microbial full cells and its outcome. Highlights: Using dimensional analysis as mechanical design approach to enhance power performance of microbial fuel cell. Reynolds number has dominant effect in comparison with Sherwood and Péclet numbers. Re∞ = 1.6 × 10 1 was found to be optimal in a recirculation MFCs. Abstract: Scaling up of microbial fuel cells is a challenge for practical applications in wastewater treatment. In addition, the flow control is an important aspect for the electrochemical reactions occurring at the electrodes are influenced by fluid motions. By using dimensionless parameter analysis fluid regimes can be investigated in different scales of reactors. In this study, four important dimensionless flow parameters such as Reynolds number, Péclet number, Schmidt number, and Sherwood number were used for systematic analysis of hydrodynamic effects and power performance of recirculation mode microbial fuel cells together with computational fluid dynamics method. Results showed that the higher value of Reynolds number enhanced the convective flow of anolyte due to the dominant inertial forces in the flow field. Therefore, Reynolds number of 1.6 × 10 1 were obtained high mass transfer coefficient of 4.76 × 10 −7 m s -1 and thin diffusion layer thickness of 2.52 × 10 -3 m. Maximum power density and limited current density of 2422.8 mW m -2 and 4736.4 mA m -2 were obtained respectively whichGraphical abstract: Flow dimensionless numbers applied in a recirculation microbial full cells and its outcome. Highlights: Using dimensional analysis as mechanical design approach to enhance power performance of microbial fuel cell. Reynolds number has dominant effect in comparison with Sherwood and Péclet numbers. Re∞ = 1.6 × 10 1 was found to be optimal in a recirculation MFCs. Abstract: Scaling up of microbial fuel cells is a challenge for practical applications in wastewater treatment. In addition, the flow control is an important aspect for the electrochemical reactions occurring at the electrodes are influenced by fluid motions. By using dimensionless parameter analysis fluid regimes can be investigated in different scales of reactors. In this study, four important dimensionless flow parameters such as Reynolds number, Péclet number, Schmidt number, and Sherwood number were used for systematic analysis of hydrodynamic effects and power performance of recirculation mode microbial fuel cells together with computational fluid dynamics method. Results showed that the higher value of Reynolds number enhanced the convective flow of anolyte due to the dominant inertial forces in the flow field. Therefore, Reynolds number of 1.6 × 10 1 were obtained high mass transfer coefficient of 4.76 × 10 −7 m s -1 and thin diffusion layer thickness of 2.52 × 10 -3 m. Maximum power density and limited current density of 2422.8 mW m -2 and 4736.4 mA m -2 were obtained respectively which were higher than Reynolds number of 0 by 1.61 and 1.69 times. These findings shall be useful for effective recirculation flow mode MFCs power production and have a great possibility for large scale applications. … (more)
- Is Part Of:
- Process biochemistry. Volume 99(2020)
- Journal:
- Process biochemistry
- Issue:
- Volume 99(2020)
- Issue Display:
- Volume 99, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 99
- Issue:
- 2020
- Issue Sort Value:
- 2020-0099-2020-0000
- Page Start:
- 236
- Page End:
- 245
- Publication Date:
- 2020-12
- Subjects:
- Microbial fuel cell -- Flow control -- Dimensionless flow parameters -- Recirculation mode -- Computational fluid dynamics -- Current density
Biochemical engineering -- Periodicals
Biotechnology -- Periodicals
Biochemistry -- periodicals
Biotechnology -- periodicals
Chemical Engineering -- periodicals
Génie biochimique -- Périodiques
Biotechnologie -- Périodiques
Biochemical engineering
Biotechnology
Periodicals
660.63 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13595113 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.procbio.2020.09.014 ↗
- Languages:
- English
- ISSNs:
- 1359-5113
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6849.983500
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- 25451.xml