Quantifying Mass Transfer Rates in Redox Flow Batteries
© The Author(s) 2017. Engineering the electrochemical reactor of a redox flow battery (RFB) is critical to delivering sufficiently high power densities, as to achieve cost-effective, grid-scale energy storage. Cell-level resistive losses reduce RFB power density and originate from ohmic, kinetic, or...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
The Electrochemical Society
2021
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| Online Access: | https://hdl.handle.net/1721.1/133938 |
| _version_ | 1826214323521847296 |
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| author | Milshtein, Jarrod D Tenny, Kevin M Barton, John L Drake, Javit Darling, Robert M Brushett, Fikile R |
| author2 | Massachusetts Institute of Technology. Department of Materials Science and Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Materials Science and Engineering Milshtein, Jarrod D Tenny, Kevin M Barton, John L Drake, Javit Darling, Robert M Brushett, Fikile R |
| author_sort | Milshtein, Jarrod D |
| collection | MIT |
| description | © The Author(s) 2017. Engineering the electrochemical reactor of a redox flow battery (RFB) is critical to delivering sufficiently high power densities, as to achieve cost-effective, grid-scale energy storage. Cell-level resistive losses reduce RFB power density and originate from ohmic, kinetic, or mass transfer limitations. Mass transfer losses affect all RFBs and are controlled by the active species concentration, state-of-charge, electrode morphology, flow rate, electrolyte properties, and flow field design. The relationship among flow rate, flow field, and cell performance has been qualitatively investigated in prior experimental studies, but mass transfer coefficients are rarely systematically quantified. To this end, we develop a model describing one-dimensional porous electrode polarization, reducing the mathematical form to just two dimensionless parameters. We then engage a single electrolyte flow cell study, with a model iron chloride electrolyte, to experimentally measure cell polarization as a function of flow field and flow rate. The polarization model is then fit to the experimental data, extracting mass transfer coefficients for four flow fields, three active species concentrations, and five flow rates. The relationships among mass transfer coefficient, flow field, and electrolyte velocity inform engineering design choices for minimizing mass transfer resistance and offer mechanistic insight into transport phenomena in fibrous electrodes. |
| first_indexed | 2024-09-23T16:03:24Z |
| format | Article |
| id | mit-1721.1/133938 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T16:03:24Z |
| publishDate | 2021 |
| publisher | The Electrochemical Society |
| record_format | dspace |
| spelling | mit-1721.1/1339382023-11-07T19:37:31Z Quantifying Mass Transfer Rates in Redox Flow Batteries Milshtein, Jarrod D Tenny, Kevin M Barton, John L Drake, Javit Darling, Robert M Brushett, Fikile R Massachusetts Institute of Technology. Department of Materials Science and Engineering Massachusetts Institute of Technology. Department of Chemical Engineering © The Author(s) 2017. Engineering the electrochemical reactor of a redox flow battery (RFB) is critical to delivering sufficiently high power densities, as to achieve cost-effective, grid-scale energy storage. Cell-level resistive losses reduce RFB power density and originate from ohmic, kinetic, or mass transfer limitations. Mass transfer losses affect all RFBs and are controlled by the active species concentration, state-of-charge, electrode morphology, flow rate, electrolyte properties, and flow field design. The relationship among flow rate, flow field, and cell performance has been qualitatively investigated in prior experimental studies, but mass transfer coefficients are rarely systematically quantified. To this end, we develop a model describing one-dimensional porous electrode polarization, reducing the mathematical form to just two dimensionless parameters. We then engage a single electrolyte flow cell study, with a model iron chloride electrolyte, to experimentally measure cell polarization as a function of flow field and flow rate. The polarization model is then fit to the experimental data, extracting mass transfer coefficients for four flow fields, three active species concentrations, and five flow rates. The relationships among mass transfer coefficient, flow field, and electrolyte velocity inform engineering design choices for minimizing mass transfer resistance and offer mechanistic insight into transport phenomena in fibrous electrodes. 2021-10-27T19:57:17Z 2021-10-27T19:57:17Z 2017 2019-08-15T13:33:46Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/133938 en 10.1149/2.0201711JES Journal of The Electrochemical Society Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf The Electrochemical Society Electrochemical Society (ECS) |
| spellingShingle | Milshtein, Jarrod D Tenny, Kevin M Barton, John L Drake, Javit Darling, Robert M Brushett, Fikile R Quantifying Mass Transfer Rates in Redox Flow Batteries |
| title | Quantifying Mass Transfer Rates in Redox Flow Batteries |
| title_full | Quantifying Mass Transfer Rates in Redox Flow Batteries |
| title_fullStr | Quantifying Mass Transfer Rates in Redox Flow Batteries |
| title_full_unstemmed | Quantifying Mass Transfer Rates in Redox Flow Batteries |
| title_short | Quantifying Mass Transfer Rates in Redox Flow Batteries |
| title_sort | quantifying mass transfer rates in redox flow batteries |
| url | https://hdl.handle.net/1721.1/133938 |
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