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A Generalized Reduced Fluid Dynamic Model for Flow Fields and Electrodes in Redox Flow Batteries
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  • Ziqiang Cheng,
  • Kevin Tenny,
  • Alberto Pizzolato,
  • Antoni Forner-Cuenca,
  • Vittorio Verda,
  • Yet-Ming Chiang,
  • Fikile Brushett,
  • Reza Behrou
Ziqiang Cheng
Politecnico di Torino
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Kevin Tenny
Massachusetts Institute of Technology
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Alberto Pizzolato
Politecnico di Torino
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Antoni Forner-Cuenca
Eindhoven University of Technology
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Vittorio Verda
Politecnico di Torino
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Yet-Ming Chiang
Massachusetts Institute of Technology
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Fikile Brushett
Massachusetts Institute of Technology
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Reza Behrou
University of California San Diego
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Abstract

High dimensional models typically require a large computational overhead for multiphysics applications, which hamper their use for broad-sweeping domain interrogation. Herein, we develop a modeling framework to capture the through-plane fluid dynamic response of electrodes and flow fields in a redox flow cell, generating a computationally inexpensive two-dimensional (2D) model. We leverage a depth averaging approach that also accounts for variations in out-of-plane fluid motion and departures from Darcy’s law that arise from averaging across three-dimensions (3D). Our Resulting depth-averaged 2D model successfully predict the fluid dynamic response of arbitrary in-plane flow field geometries, with discrepancies of < 5% for both maximum velocity and pressure drop. This corresponds to reduced computational expense, as compared to 3D representations (< 1% of duration and 10% of RAM usage), providing a platform to screen and optimize a diverse set of cell geometries.

Peer review status:IN REVISION

28 Jul 2021Submitted to AIChE Journal
01 Aug 2021Assigned to Editor
01 Aug 2021Submission Checks Completed
07 Aug 2021Reviewer(s) Assigned
11 Sep 2021Editorial Decision: Revise Minor