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Dynamic modeling and parameter analysis study on reversible solid oxide cells during mode switching transient processes

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  • Wang, Chaoyang
  • Chen, Ming
  • Liu, Ming
  • Yan, Junjie

Abstract

Reversible solid-oxide cells (SOCs) are a promising technology for mitigating the fluctuation of power from renewable sources. Mode switching between electrolysis and fuel cells occurs frequently and is necessary for an SOC stack. Herein, a dynamic SOC-stack model was developed and validated against experimental data. Subsequently, we extensively studied the stack temperature (Ts), voltage (Vs), and reversible efficiency (ηre) with different designing and operating parameters, including stack heat capacity (Cs), inlet hydrogen fraction (xH2), stack operational pressure (p), inlet work medium temperature (Tin), current density (I), and mode switching frequency (f). For an actual SOC plant, the stack may work in a nearly adiabatic environment. Our calculation results show that with xH2 increasing from 0.2 to 0.6, the variation in ΔTs decreases by 25%, Vs increases by 10%, and ηre increases by 2.9%. With fourfold increasing in CS and p, ΔTs decreases by 75% and 25% and ηre increases by 0.47% and 1.8%, respectively, whereas, Vs is nearly unaffected. ΔTs and ΔVs almost proportionally increase with I. In relation to Tin or f, ΔTs is unaffected, ΔVs decreases, and ηre slightly increases. Overall, this work identified the most critical stack designing and operating factors affecting the transient behavior of an SOC stack during mode switching processes. The results can serve as guidelines for SOC-stack design and operation-strategy optimization.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:263:y:2020:i:c:s0306261920301136
    DOI: 10.1016/j.apenergy.2020.114601
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    3. Li, Zheng & Zhang, Hao & Xu, Haoran & Xuan, Jin, 2021. "Advancing the multiscale understanding on solid oxide electrolysis cells via modelling approaches: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    4. 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.
    5. Huang, Chunjun & Strbac, Goran & Zong, Yi & You, Shi & Træholt, Chresten & Brandon, Nigel & Wang, Jiawei & Ameli, Hossein, 2024. "Modeling and optimal operation of reversible solid oxide cells considering heat recovery and mode switching dynamics in microgrids," Applied Energy, Elsevier, vol. 357(C).
    6. Calise, Francesco & Cappiello, Francesco Liberato & Cimmino, Luca & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2023. "Dynamic simulation and thermoeconomic analysis of a power to gas system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    7. Dehghan, Ali Reza & Fanaei, Mohammad Ali & Panahi, Mehdi, 2022. "Economic plantwide control of a hybrid solid oxide fuel cell - gas turbine system," Applied Energy, Elsevier, vol. 328(C).
    8. Calise, Francesco & Cappiello, Francesco Liberato & Cimmino, Luca & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2023. "Renewable smart energy network: A thermoeconomic comparison between conventional lithium-ion batteries and reversible solid oxide fuel cells," Renewable Energy, Elsevier, vol. 214(C), pages 74-95.
    9. Xia, Zhiping & Zhao, Dongqi & Li, Yuanzheng & Deng, Zhonghua & Kupecki, Jakub & Fu, Xiaowei & Li, Xi, 2023. "Control-oriented dynamic process optimization of solid oxide electrolysis cell system with the gas characteristic regarding oxygen electrode delamination," Applied Energy, Elsevier, vol. 332(C).
    10. Calise, F. & Cappiello, F.L. & Cimmino, L. & Vicidomini, M., 2022. "Dynamic simulation modelling of reversible solid oxide fuel cells for energy storage purpose," Energy, Elsevier, vol. 260(C).
    11. Chadly, Assia & Azar, Elie & Maalouf, Maher & Mayyas, Ahmad, 2022. "Techno-economic analysis of energy storage systems using reversible fuel cells and rechargeable batteries in green buildings," Energy, Elsevier, vol. 247(C).
    12. Li, Bohan & Wang, Chaoyang & Liu, Ming & Fan, Jianlin & Yan, Junjie, 2023. "Transient performance analysis of a solid oxide fuel cell during power regulations with different control strategies based on a 3D dynamic model," Renewable Energy, Elsevier, vol. 218(C).
    13. Sun, Yi & Qian, Tang & Zhu, Jingdong & Zheng, Nan & Han, Yu & Xiao, Gang & Ni, Meng & Xu, Haoran, 2023. "Dynamic simulation of a reversible solid oxide cell system for efficient H2 production and power generation," Energy, Elsevier, vol. 263(PA).
    14. Shaocheng Lang & Jinliang Yuan & Houcheng Zhang, 2024. "Optimally Splitting Solar Spectrums by Concentrating Solar Spectrums Splitter for Hydrogen Production via Solid Oxide Electrolysis Cell," Energies, MDPI, vol. 17(9), pages 1-20, April.

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