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Hierarchical modeling of solid oxide cells and stacks producing syngas via H2O/CO2 Co-electrolysis for industrial applications

Author

Listed:
  • Banerjee, A.
  • Wang, Y.
  • Diercks, J.
  • Deutschmann, O.

Abstract

A hierarchical multi-physics continuum model is used to investigate syngas (H2 + CO) production in a solid oxide button cell, single repeating unit and cell stack. A novel cluster algorithm and pseudo-homogenous approach enables a computationally efficient model scale-up from 1-D button cells to 3-D stacks with minimal loss of information across the scales. The model agrees well with polarization, temperature and outlet gas composition measurements made by Fu et al. on single Ni-GDC|YSZ|LSM-YSZ cells [ECS Transactions35, 2949–2956 (2011)]. After, the model generates 3-D contour plots to map the performance of a single repeating unit of a F-design stack from Forschungszentrum Jülich [Fuel Cells7, 204–210 (2007)] producing output H2:CO ratios suitable for Fischer-Tropsch synthesis and hydroformylation. Over the range of conditions studied, the overall efficiency and syngas yield increases with residence time though beyond a threshold value, reactant starvation leads to a decrease in efficiency and a greater propensity for Ni coking. Increasing the operating temperature shifts peak efficiencies to lower voltages and the performance of the repeating unit is nearly identical for the two H2:CO ratios studied. On scaling up to produce a commercial quantity of syngas, shorter stacks lead to lower capital costs and smaller electrolyzer areas while running at lower velocities has the opposite effect although it minimizes temperature gradients. Stack simulation over a wide range of operating regimes, including pure H2O and CO2 electrolysis, divulges the time constants of charge, mass and heat transport.

Suggested Citation

  • Banerjee, A. & Wang, Y. & Diercks, J. & Deutschmann, O., 2018. "Hierarchical modeling of solid oxide cells and stacks producing syngas via H2O/CO2 Co-electrolysis for industrial applications," Applied Energy, Elsevier, vol. 230(C), pages 996-1013.
  • Handle: RePEc:eee:appene:v:230:y:2018:i:c:p:996-1013
    DOI: 10.1016/j.apenergy.2018.08.122
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    Citations

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    Cited by:

    1. Lee, Wooseok & Bae, Yonggyun & Lee, Sanghyeok & Hong, Jongsup, 2024. "Elucidating the dynamic transport phenomena of solid oxide fuel cells according to rapid electrical load change operation," Applied Energy, Elsevier, vol. 359(C).
    2. Xueping Zhang & Mingtao Wu & Liusheng Xiao & Hao Wang & Yingqi Liu & Dingrong Ou & Jinliang Yuan, 2024. "Thermal Stress in Full-Size Solid Oxide Fuel Cell Stacks by Multi-Physics Modeling," Energies, MDPI, vol. 17(9), pages 1-25, April.
    3. Jalili, Mohammad & Ghazanfari Holagh, Shahriyar & Chitsaz, Ata & Song, Jian & Markides, Christos N., 2023. "Electrolyzer cell-methanation/Sabatier reactors integration for power-to-gas energy storage: Thermo-economic analysis and multi-objective optimization," Applied Energy, Elsevier, vol. 329(C).
    4. Wehrle, Lukas & Schmider, Daniel & Dailly, Julian & Banerjee, Aayan & Deutschmann, Olaf, 2022. "Benchmarking solid oxide electrolysis cell-stacks for industrial Power-to-Methane systems via hierarchical multi-scale modelling," Applied Energy, Elsevier, vol. 317(C).
    5. Wang, Ligang & Rao, Megha & Diethelm, Stefan & Lin, Tzu-En & Zhang, Hanfei & Hagen, Anke & Maréchal, François & Van herle, Jan, 2019. "Power-to-methane via co-electrolysis of H2O and CO2: The effects of pressurized operation and internal methanation," Applied Energy, Elsevier, vol. 250(C), pages 1432-1445.
    6. Nielsen, Anders S. & Peppley, Brant A. & Burheim, Odne S., 2023. "Controlling the contribution of transport mechanisms in solid oxide co-electrolysis cells to improve product selectivity and performance: A theoretical framework," Applied Energy, Elsevier, vol. 344(C).
    7. Hao Wang & Liusheng Xiao & Yingqi Liu & Xueping Zhang & Ruidong Zhou & Fangzheng Liu & Jinliang Yuan, 2023. "Performance and Thermal Stress Evaluation of Full-Scale SOEC Stack Using Multi-Physics Modeling Method," Energies, MDPI, vol. 16(23), pages 1-20, November.
    8. Wang, Yuqing & Wehrle, Lukas & Banerjee, Aayan & Shi, Yixiang & Deutschmann, Olaf, 2021. "Analysis of a biogas-fed SOFC CHP system based on multi-scale hierarchical modeling," Renewable Energy, Elsevier, vol. 163(C), pages 78-87.
    9. Wang, Chaoyang & Chen, Ming & Liu, Ming & Yan, Junjie, 2020. "Dynamic modeling and parameter analysis study on reversible solid oxide cells during mode switching transient processes," Applied Energy, Elsevier, vol. 263(C).
    10. Morgenthaler, Simon & Kuckshinrichs, Wilhelm & Witthaut, Dirk, 2020. "Optimal system layout and locations for fully renewable high temperature co-electrolysis," Applied Energy, Elsevier, vol. 260(C).
    11. Lee, Dong-Young & Mehran, Muhammad Taqi & Kim, Jonghwan & Kim, Sangcho & Lee, Seung-Bok & Song, Rak-Hyun & Ko, Eun-Yong & Hong, Jong-Eun & Huh, Joo-Youl & Lim, Tak-Hyoung, 2020. "Scaling up syngas production with controllable H2/CO ratio in a highly efficient, compact, and durable solid oxide coelectrolysis cell unit-bundle," Applied Energy, Elsevier, vol. 257(C).

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