Multiscale Modeling for Reversible Solid Oxide Cell Operation
Solid Oxide Cells (SOCs) can work efficiently in reversible operation, allowing the energy storage as hydrogen in power to gas application and providing requested electricity in gas to power application. They can easily switch from fuel cell to electrolyzer mode in order to guarantee the production...
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doaj-f6d9614d71484410a7ed1bcfa54029492020-11-25T03:52:39ZengMDPI AGEnergies1996-10732020-09-01135058505810.3390/en13195058Multiscale Modeling for Reversible Solid Oxide Cell OperationFiammetta Rita Bianchi0Arianna Baldinelli1Linda Barelli2Giovanni Cinti3Emilio Audasso4Barbara Bosio5Department of Civil, Chemical and Environmental Engineering, University of Genova, Via Opera Pia 15, 16145 Genova, ItalyDepartment of Engineering, University of Perugia, Via Duranti 93, 06125 Perugia, ItalyDepartment of Engineering, University of Perugia, Via Duranti 93, 06125 Perugia, ItalyDepartment of Engineering, University of Perugia, Via Duranti 93, 06125 Perugia, ItalyDepartment of Civil, Chemical and Environmental Engineering, University of Genova, Via Opera Pia 15, 16145 Genova, ItalyDepartment of Civil, Chemical and Environmental Engineering, University of Genova, Via Opera Pia 15, 16145 Genova, ItalySolid Oxide Cells (SOCs) can work efficiently in reversible operation, allowing the energy storage as hydrogen in power to gas application and providing requested electricity in gas to power application. They can easily switch from fuel cell to electrolyzer mode in order to guarantee the production of electricity, heat or directly hydrogen as fuel depending on energy demand and utilization. The proposed modeling is able to calculate effectively SOC performance in both operating modes, basing on the same electrochemical equations and system parameters, just setting the current density direction. The identified kinetic core is implemented in different simulation tools as a function of the scale under study. When the analysis mainly focuses on the kinetics affecting the global performance of small-sized single cells, a 0D code written in Fortran and then executed in Aspen Plus is used. When larger-scale single or stacked cells are considered and local maps of the main physicochemical properties on the cell plane are of interest, a detailed in-home 2D Fortran code is carried out. The presented modeling is validated on experimental data collected on laboratory SOCs of different scales and electrode materials, showing a good agreement between calculated and measured values and so confirming its applicability for multiscale approach studies.https://www.mdpi.com/1996-1073/13/19/5058SOLID oxide cellreversible cellmultiscale modelingexperimental validationAspen Plus simulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fiammetta Rita Bianchi Arianna Baldinelli Linda Barelli Giovanni Cinti Emilio Audasso Barbara Bosio |
spellingShingle |
Fiammetta Rita Bianchi Arianna Baldinelli Linda Barelli Giovanni Cinti Emilio Audasso Barbara Bosio Multiscale Modeling for Reversible Solid Oxide Cell Operation Energies SOLID oxide cell reversible cell multiscale modeling experimental validation Aspen Plus simulation |
author_facet |
Fiammetta Rita Bianchi Arianna Baldinelli Linda Barelli Giovanni Cinti Emilio Audasso Barbara Bosio |
author_sort |
Fiammetta Rita Bianchi |
title |
Multiscale Modeling for Reversible Solid Oxide Cell Operation |
title_short |
Multiscale Modeling for Reversible Solid Oxide Cell Operation |
title_full |
Multiscale Modeling for Reversible Solid Oxide Cell Operation |
title_fullStr |
Multiscale Modeling for Reversible Solid Oxide Cell Operation |
title_full_unstemmed |
Multiscale Modeling for Reversible Solid Oxide Cell Operation |
title_sort |
multiscale modeling for reversible solid oxide cell operation |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2020-09-01 |
description |
Solid Oxide Cells (SOCs) can work efficiently in reversible operation, allowing the energy storage as hydrogen in power to gas application and providing requested electricity in gas to power application. They can easily switch from fuel cell to electrolyzer mode in order to guarantee the production of electricity, heat or directly hydrogen as fuel depending on energy demand and utilization. The proposed modeling is able to calculate effectively SOC performance in both operating modes, basing on the same electrochemical equations and system parameters, just setting the current density direction. The identified kinetic core is implemented in different simulation tools as a function of the scale under study. When the analysis mainly focuses on the kinetics affecting the global performance of small-sized single cells, a 0D code written in Fortran and then executed in Aspen Plus is used. When larger-scale single or stacked cells are considered and local maps of the main physicochemical properties on the cell plane are of interest, a detailed in-home 2D Fortran code is carried out. The presented modeling is validated on experimental data collected on laboratory SOCs of different scales and electrode materials, showing a good agreement between calculated and measured values and so confirming its applicability for multiscale approach studies. |
topic |
SOLID oxide cell reversible cell multiscale modeling experimental validation Aspen Plus simulation |
url |
https://www.mdpi.com/1996-1073/13/19/5058 |
work_keys_str_mv |
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