Modeling an all-copper redox flow battery for microgrid applications: impact of current and flow rate on capacity fading and deposition

The copper redox flow battery (CuRFB) stands out as a promising hybrid redox flow battery technology, offering significant advantages in electrolyte stability. Within the CuBER H-2020 project framework, this study addresses critical phenomena such as electrodeposition at the negative electrode durin...

Descripción completa

Detalles Bibliográficos
Autores: Adamo, Mirko d', Badenhorst, Wouter, Murtomäki, Lasse, Cordoba Pañella, Paula, Derbeli, Mohamed, Sáez Zamora, José Alberto, Trilla Romero, Lluís|||0000-0002-7586-3834
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/438943
Acceso en línea:https://hdl.handle.net/2117/438943
https://dx.doi.org/10.3390/en18082084
Access Level:acceso abierto
Palabra clave:Electrolyte stability
Current density
Flow rate
State of health
All-Copper redox flow battery
Multiphysics modeling
Crossover diffusion
Electrodeposition
Capacity fade
Voltage prediction
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
id ES_3d7e0e3dd3fbdf5add0e8a494ffabe0d
oai_identifier_str oai:upcommons.upc.edu:2117/438943
network_acronym_str ES
network_name_str España
repository_id_str
spelling Modeling an all-copper redox flow battery for microgrid applications: impact of current and flow rate on capacity fading and depositionAdamo, Mirko d'Badenhorst, WouterMurtomäki, LasseCordoba Pañella, PaulaDerbeli, MohamedSáez Zamora, José AlbertoTrilla Romero, Lluís|||0000-0002-7586-3834Electrolyte stabilityCurrent densityFlow rateState of healthAll-Copper redox flow batteryMultiphysics modelingCrossover diffusionElectrodepositionCapacity fadeVoltage predictionÀrees temàtiques de la UPC::Informàtica::Automàtica i controlThe copper redox flow battery (CuRFB) stands out as a promising hybrid redox flow battery technology, offering significant advantages in electrolyte stability. Within the CuBER H-2020 project framework, this study addresses critical phenomena such as electrodeposition at the negative electrode during charging and copper crossover through the membrane, which influence capacity fading. A comprehensive two-dimensional physicochemical model of the CuRFB cell was developed using COMSOL Multiphysics, providing insights into the distribution of electroactive materials over time. The model was validated against experimental cycling data, demonstrating a Root Mean Square Error (RMSE) of 0.0212 in voltage estimation. Least-squares parameter estimation, utilizing Bound Optimization by Quadratic Approximation, was conducted to determine active material diffusivities and electron transfer coefficients. The results indicate that higher current densities and lower flow rates lead to increased copper deposition near the inlet, significantly impacting the battery’s State of Health (SoH). These findings highlight the importance of considering fluid dynamics and ion concentration distribution to improve battery performance and longevity. The study’s insights are crucial for optimizing and scaling up CuRFB operations, guiding potential cell-scale-up strategies into stack-level configurations.The research leading to these results has been performed within the CuBER project and received funding from the European Community’s Horizon 2020 Programme (H2020/2014-2020) under grant agreement #875605. This study has been financed also by the support of Pla de Doctorats Industrials de la Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya (https://doctoratsindustrials.gencat.cat, accessed on 16 April 2025).20252025-04-0120252025-07-18journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/438943https://dx.doi.org/10.3390/en18082084reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4389432026-05-27T15:37:01Z
dc.title.none.fl_str_mv Modeling an all-copper redox flow battery for microgrid applications: impact of current and flow rate on capacity fading and deposition
title Modeling an all-copper redox flow battery for microgrid applications: impact of current and flow rate on capacity fading and deposition
spellingShingle Modeling an all-copper redox flow battery for microgrid applications: impact of current and flow rate on capacity fading and deposition
Adamo, Mirko d'
Electrolyte stability
Current density
Flow rate
State of health
All-Copper redox flow battery
Multiphysics modeling
Crossover diffusion
Electrodeposition
Capacity fade
Voltage prediction
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
title_short Modeling an all-copper redox flow battery for microgrid applications: impact of current and flow rate on capacity fading and deposition
title_full Modeling an all-copper redox flow battery for microgrid applications: impact of current and flow rate on capacity fading and deposition
title_fullStr Modeling an all-copper redox flow battery for microgrid applications: impact of current and flow rate on capacity fading and deposition
title_full_unstemmed Modeling an all-copper redox flow battery for microgrid applications: impact of current and flow rate on capacity fading and deposition
title_sort Modeling an all-copper redox flow battery for microgrid applications: impact of current and flow rate on capacity fading and deposition
dc.creator.none.fl_str_mv Adamo, Mirko d'
Badenhorst, Wouter
Murtomäki, Lasse
Cordoba Pañella, Paula
Derbeli, Mohamed
Sáez Zamora, José Alberto
Trilla Romero, Lluís|||0000-0002-7586-3834
author Adamo, Mirko d'
author_facet Adamo, Mirko d'
Badenhorst, Wouter
Murtomäki, Lasse
Cordoba Pañella, Paula
Derbeli, Mohamed
Sáez Zamora, José Alberto
Trilla Romero, Lluís|||0000-0002-7586-3834
author_role author
author2 Badenhorst, Wouter
Murtomäki, Lasse
Cordoba Pañella, Paula
Derbeli, Mohamed
Sáez Zamora, José Alberto
Trilla Romero, Lluís|||0000-0002-7586-3834
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Electrolyte stability
Current density
Flow rate
State of health
All-Copper redox flow battery
Multiphysics modeling
Crossover diffusion
Electrodeposition
Capacity fade
Voltage prediction
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
topic Electrolyte stability
Current density
Flow rate
State of health
All-Copper redox flow battery
Multiphysics modeling
Crossover diffusion
Electrodeposition
Capacity fade
Voltage prediction
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
description The copper redox flow battery (CuRFB) stands out as a promising hybrid redox flow battery technology, offering significant advantages in electrolyte stability. Within the CuBER H-2020 project framework, this study addresses critical phenomena such as electrodeposition at the negative electrode during charging and copper crossover through the membrane, which influence capacity fading. A comprehensive two-dimensional physicochemical model of the CuRFB cell was developed using COMSOL Multiphysics, providing insights into the distribution of electroactive materials over time. The model was validated against experimental cycling data, demonstrating a Root Mean Square Error (RMSE) of 0.0212 in voltage estimation. Least-squares parameter estimation, utilizing Bound Optimization by Quadratic Approximation, was conducted to determine active material diffusivities and electron transfer coefficients. The results indicate that higher current densities and lower flow rates lead to increased copper deposition near the inlet, significantly impacting the battery’s State of Health (SoH). These findings highlight the importance of considering fluid dynamics and ion concentration distribution to improve battery performance and longevity. The study’s insights are crucial for optimizing and scaling up CuRFB operations, guiding potential cell-scale-up strategies into stack-level configurations.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-04-01
2025
2025-07-18
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/438943
https://dx.doi.org/10.3390/en18082084
url https://hdl.handle.net/2117/438943
https://dx.doi.org/10.3390/en18082084
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869406443820548096
score 15.81155

Similares en LA Referencia