TY - JOUR
T1 - Influence of obstacle configuration on electrolyte flow in serpentine flow fields for redox flow batteries
AU - Martínez-López, Joseba
AU - Portal-Porras, Koldo
AU - Fernández-Gamiz, Unai
AU - Sánchez-Díez, Eduardo
AU - Beloki-Arrondo, Aitor
AU - Ortega-Fernández, Íñigo
N1 - Publisher Copyright:
©2025 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.Org/licenses/by/4.0)
PY - 2025/1
Y1 - 2025/1
N2 - In this study, a three-dimensional numerical model was developed to investigate the influence of obstacles on the hydrodynamic behavior of a serpentine flow field. Various obstacle geometries (rectangular, trapezoidal, triangular, and cylindrical), quantities (1-3 blocks), and positions (straight vs. curved channel sections) were systematically analyzed. Results show that rectangular obstacles enhance mean velocity but significantly increase pressure drop and reduce flow uniformity. In contrast, trapezoidal and cylindrical shapes offer a more balanced tradeoff, achieving improved uniformity and flow enhancement with moderate hydraulic penalties. Increasing obstacle number improves electrolyte velocity uniformity across all cases, though diminishing returns are observed beyond two blocks. Importantly, placing obstacles in curved sections of the serpentine field yields up to 9% higher uniformity compared to straight placements, without increasing pressure loss— leveraging pre-existing low-velocity regions to enhance distribution. These findings align with previous literature and highlight that optimized obstacle shape, number, and positioning can significantly improve mass transport and flow distribution in vanadium redox flow batteries (VRFBs). To complement the computational fluid dynamics (CFD) analysis, an artificial neural network (ANN) was trained to predict pressure drop using key geometric and flow features as inputs. The ANN demonstrated excellent agreement with numerical results and reduced the computational time required to obtain the results by 6 orders of magnitude.
AB - In this study, a three-dimensional numerical model was developed to investigate the influence of obstacles on the hydrodynamic behavior of a serpentine flow field. Various obstacle geometries (rectangular, trapezoidal, triangular, and cylindrical), quantities (1-3 blocks), and positions (straight vs. curved channel sections) were systematically analyzed. Results show that rectangular obstacles enhance mean velocity but significantly increase pressure drop and reduce flow uniformity. In contrast, trapezoidal and cylindrical shapes offer a more balanced tradeoff, achieving improved uniformity and flow enhancement with moderate hydraulic penalties. Increasing obstacle number improves electrolyte velocity uniformity across all cases, though diminishing returns are observed beyond two blocks. Importantly, placing obstacles in curved sections of the serpentine field yields up to 9% higher uniformity compared to straight placements, without increasing pressure loss— leveraging pre-existing low-velocity regions to enhance distribution. These findings align with previous literature and highlight that optimized obstacle shape, number, and positioning can significantly improve mass transport and flow distribution in vanadium redox flow batteries (VRFBs). To complement the computational fluid dynamics (CFD) analysis, an artificial neural network (ANN) was trained to predict pressure drop using key geometric and flow features as inputs. The ANN demonstrated excellent agreement with numerical results and reduced the computational time required to obtain the results by 6 orders of magnitude.
KW - flow field
KW - numerical model
KW - obstruction
KW - pressure drop
KW - serpentine
KW - vanadium redox flow battery
UR - https://www.scopus.com/pages/publications/105026773158
U2 - 10.3934/era.2025234
DO - 10.3934/era.2025234
M3 - Article
AN - SCOPUS:105026773158
SN - 1935-9179
VL - 33
SP - 5231
EP - 5251
JO - Electronic Research Announcements in Mathematical Sciences
JF - Electronic Research Announcements in Mathematical Sciences
IS - 9
ER -