Studies on computational fluid dynamics and flow characteristics of auto‐dripping bioelectrochemical reactor (AutoDriBER): a rational basis for e‐urinal design
Studies on computational fluid dynamics and flow characteristics of auto‐dripping bioelectrochemical reactor (AutoDriBER): a rational basis for e‐urinal design
Resource depletion and simultaneous increase in energy demand have driven the need for alternative energy solutions, such as Bioelectrochemical systems (BESs). In the last two decades, BESs have witnessed significant research and development, however, the technology is still not commercialized. Major challenges lie with large-scale continuous operation, limited by the understudied fluid dynamic behavior of the system as a whole, and in particular of the anolyte. A continuous flow, auto dripping bioelectrochemical reactor (AutoDriBER) was therefore developed and modeled in the present study. The optimum flow rate, under which AutoDriBER achieved 2.91 ± 0.29 V, 1.02 W/m2, and 88.29 ± 1.83% operating voltage, power density, and COD removal, respectively, was 10 mL/min. COD reduction was highest, 91.24 ± 1.52%, at 5 mL/min flow rate. The present findings form an initial step towards optimizing complex designs and overcoming limitations for the scale-up of continuous flow bioelectrochemical reactors.
AutoDriBER, computational fluid dynamics, flow rate, hydrodynamic, numerical simulation, power density, wastewater treatment
19762-19774
Saini, Raj Kumar
4f96e8f1-5671-4934-8357-ee0fc4607ccb
Mehrotra, Smriti
1f105879-2ac6-4dab-b62a-00a78c26b082
Ieropoulos, Ioannis A.
6c580270-3e08-430a-9f49-7fbe869daf13
Mathuriya, Abhilasha Singh
30b7ce4f-4ec8-4b92-87fd-f53fa64c0afa
Saini, Raj Kumar
4f96e8f1-5671-4934-8357-ee0fc4607ccb
Mehrotra, Smriti
1f105879-2ac6-4dab-b62a-00a78c26b082
Ieropoulos, Ioannis A.
6c580270-3e08-430a-9f49-7fbe869daf13
Mathuriya, Abhilasha Singh
30b7ce4f-4ec8-4b92-87fd-f53fa64c0afa
Saini, Raj Kumar, Mehrotra, Smriti, Ieropoulos, Ioannis A. and Mathuriya, Abhilasha Singh
(2022)
Studies on computational fluid dynamics and flow characteristics of auto‐dripping bioelectrochemical reactor (AutoDriBER): a rational basis for e‐urinal design.
International Journal of Energy Research, 46 (14), .
(doi:10.1002/er.8544).
Abstract
Resource depletion and simultaneous increase in energy demand have driven the need for alternative energy solutions, such as Bioelectrochemical systems (BESs). In the last two decades, BESs have witnessed significant research and development, however, the technology is still not commercialized. Major challenges lie with large-scale continuous operation, limited by the understudied fluid dynamic behavior of the system as a whole, and in particular of the anolyte. A continuous flow, auto dripping bioelectrochemical reactor (AutoDriBER) was therefore developed and modeled in the present study. The optimum flow rate, under which AutoDriBER achieved 2.91 ± 0.29 V, 1.02 W/m2, and 88.29 ± 1.83% operating voltage, power density, and COD removal, respectively, was 10 mL/min. COD reduction was highest, 91.24 ± 1.52%, at 5 mL/min flow rate. The present findings form an initial step towards optimizing complex designs and overcoming limitations for the scale-up of continuous flow bioelectrochemical reactors.
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Accepted/In Press date: 29 July 2022
e-pub ahead of print date: 30 August 2022
Additional Information:
Funding Information:
The work has been funded by the Defence Research and Development Organisation, Government of India, [grant no. LSRB/81/48222/LSRB‐368/BTB/2020], and Department of Science and Technology, and Government of India, [grant no. CRD/2018/000022]. During this study, IAI has been funded by the Bill & Melinda Gates Foundation [grant no. INV006499].
Defence Research and Development Organisation, Grant/Award Number: LSRB/81/48222/LSRB‐368/BTB/2020; DST New Delhi, Grant/Award Number: CRD/2018/000022; Bill & Melinda Gates Foundation, Grant/Award Number: INV006499 Funding information
Keywords:
AutoDriBER, computational fluid dynamics, flow rate, hydrodynamic, numerical simulation, power density, wastewater treatment
Identifiers
Local EPrints ID: 485462
URI: http://eprints.soton.ac.uk/id/eprint/485462
ISSN: 0363-907X
PURE UUID: bdd80089-3335-445c-9a09-23156096fa2c
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Date deposited: 06 Dec 2023 17:58
Last modified: 17 Mar 2024 04:10
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Contributors
Author:
Raj Kumar Saini
Author:
Smriti Mehrotra
Author:
Abhilasha Singh Mathuriya
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