Multiscale Modeling for Reversible Solid Oxide Cell Operation

Fiammetta Rita Bianchi, Arianna Baldinelli, Linda Barelli, Giovanni Cinti, Emilio Audasso and Barbara Bosio
Additional contact information
Fiammetta Rita Bianchi: Department of Civil, Chemical and Environmental Engineering, University of Genova, Via Opera Pia 15, 16145 Genova, Italy
Arianna Baldinelli: Department of Engineering, University of Perugia, Via Duranti 93, 06125 Perugia, Italy
Linda Barelli: Department of Engineering, University of Perugia, Via Duranti 93, 06125 Perugia, Italy
Giovanni Cinti: Department of Engineering, University of Perugia, Via Duranti 93, 06125 Perugia, Italy
Emilio Audasso: Department of Civil, Chemical and Environmental Engineering, University of Genova, Via Opera Pia 15, 16145 Genova, Italy
Barbara Bosio: Department of Civil, Chemical and Environmental Engineering, University of Genova, Via Opera Pia 15, 16145 Genova, Italy

Energies, 2020, vol. 13, issue 19, 1-16

Abstract: 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.

Keywords: SOLID oxide cell; reversible cell; multiscale modeling; experimental validation; Aspen Plus simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/19/5058/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/19/5058/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:19:p:5058-:d:419742

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().