Published December 15, 2023 | Version v1
Journal article Open

Mathematical modeling and thermal control of a 1.5 kW reversible solid oxide stack for 24/7 hydrogen plants

  • 1. Institut de Recerca en Energìa de Catalunya
  • 2. ROR icon Institut de Recerca de l'Energia de Catalunya
  • 3. Instituto Tecnológico Buenos Aires (ITBA)
  • 4. Institut de Recerca en Energia de Catalunya
  • 5. ROR icon Institució Catalana de Recerca i Estudis Avançats

Description

Solid oxide technology has gained importance due to its higher efficiencies compared to other current hydrogen technologies. The reversible mode allows working with both technologies (SOEC-SOFC), which makes it very attractive for mixed operations, both storage and generation, increasing its usage and therefore the viability of the technology implementation. To improve the performance of reversible stacks, developing adequate control strategies is of great importance. In order to design these strategies, suitable models are needed. These control-oriented models should be simple for an efficient controller design, but also they should include all phenomena that can be affected by the control law. This article introduces a control-oriented modeling of a reversible solid oxide stack (rSOS) for the implementation of control strategies considering thermal and degradation effects. The model is validated with experimental data of a 1.5 kW laboratory prototype, analyzing both polarization curves and dynamic responses to different current profiles and compositions. An error of less than 3% between the model and experimental responses has been obtained, demonstrating the validity of the proposed control-oriented model. The proposed model allows performing new and deeper analysis of the role of reversible solid oxide cells in 24/7 generation plants with renewable energy sources.

Files

DelPozo_2023_Mathematics_Mathematical modeling and thermal control of a 1.5kW rSOC stack for 24-7 hydrogen plants.pdf

Additional details

Related works

Is previous version of
Journal article: 10.3390/math11112424 (DOI)

Dates

Submitted
2022-12-16
Accepted
2023-01-03
Available
2023-01-10
Updated
2023-05-24

References

  • Hy-PV (ACE014/20/000048)