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Multiscale Modeling for Reversible Solid Oxide Cell Operation

Author

Listed:
  • 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)

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.

Suggested Citation

  • Fiammetta Rita Bianchi & Arianna Baldinelli & Linda Barelli & Giovanni Cinti & Emilio Audasso & Barbara Bosio, 2020. "Multiscale Modeling for Reversible Solid Oxide Cell Operation," Energies, MDPI, vol. 13(19), pages 1-16, September.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5058-:d:419742
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    References listed on IDEAS

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    Cited by:

    1. Sriram Srinivas & Shankar Raman Dhanushkodi & Ramesh Kumar Chidambaram & Dorota Skrzyniowska & Anna Korzen & Jan Taler, 2023. "Benchmarking Electrolytes for the Solid Oxide Electrolyzer Using a Finite Element Model," Energies, MDPI, vol. 16(18), pages 1-15, September.
    2. Roberto Spotorno & Fiammetta Rita Bianchi & Daniele Paravidino & Barbara Bosio & Paolo Piccardo, 2022. "Test and Modelling of Solid Oxide Fuel Cell Durability: A Focus on Interconnect Role on Global Degradation," Energies, MDPI, vol. 15(8), pages 1-19, April.
    3. Fiammetta Rita Bianchi & Barbara Bosio, 2021. "Operating Principles, Performance and Technology Readiness Level of Reversible Solid Oxide Cells," Sustainability, MDPI, vol. 13(9), pages 1-23, April.
    4. Bianchi, F.R. & Bosio, B. & Conte, F. & Massucco, S. & Mosaico, G. & Natrella, G. & Saviozzi, M., 2023. "Modelling and optimal management of renewable energy communities using reversible solid oxide cells," Applied Energy, Elsevier, vol. 334(C).

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