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Modeling and optimal operation of reversible solid oxide cells considering heat recovery and mode switching dynamics in microgrids

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  • Huang, Chunjun
  • Strbac, Goran
  • Zong, Yi
  • You, Shi
  • Træholt, Chresten
  • Brandon, Nigel
  • Wang, Jiawei
  • Ameli, Hossein

Abstract

The reversible solid oxide cell (rSOC) is a promising technology for advancing energy decarbonization by enabling bidirectional conversion between electricity and hydrogen in a single device. However, previous studies have not fully explored the operational flexibility of rSOCs due to inadequate consideration of heat recovery potentials and dynamics of operating mode transitions. To address this research gap, this paper presents a model-based optimal operation method for managing multi-energy transactions in rSOC-based microgrids, aiming to minimize operation costs. The method incorporates detailed operational models of the rSOC, including a lumped thermal model to account for heat recovery capability and modeling of various operating modes and their transitions. Additionally, a linearization process is introduced to address nonlinear and implicit operational constraints, resulting in a computationally efficient mixed-integer linear programming (MILP) formulation for the operation model. Comparative case studies are conducted using modified energy portfolios of a Danish energy island. The results demonstrate that the proposed method effectively captures operating mode transitions within the rSOC and enhances its profitability via waste heat recovery. Notably, the rSOC model contributes to enhanced operational flexibility through heat recovery behaviors and a wider temperature range, resulting in substantial economic savings for the microgrid.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:357:y:2024:i:c:s030626192301841x
    DOI: 10.1016/j.apenergy.2023.122477
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    References listed on IDEAS

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    1. Vitale, F. & Rispoli, N. & Sorrentino, M. & Rosen, M.A. & Pianese, C., 2021. "On the use of dynamic programming for optimal energy management of grid-connected reversible solid oxide cell-based renewable microgrids," Energy, Elsevier, vol. 225(C).
    2. 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).
    3. Califano, M. & Sorrentino, M. & Rosen, M.A. & Pianese, C., 2022. "Optimal heat and power management of a reversible solid oxide cell based microgrid for effective technoeconomic hydrogen consumption and storage," Applied Energy, Elsevier, vol. 319(C).
    4. Yue, Meiling & Lambert, Hugo & Pahon, Elodie & Roche, Robin & Jemei, Samir & Hissel, Daniel, 2021. "Hydrogen energy systems: A critical review of technologies, applications, trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    5. Xiao, Gang & Sun, Anwei & Liu, Hongwei & Ni, Meng & Xu, Haoran, 2023. "Thermal management of reversible solid oxide cells in the dynamic mode switching," Applied Energy, Elsevier, vol. 331(C).
    6. 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).
    7. Parra, David & Valverde, Luis & Pino, F. Javier & Patel, Martin K., 2019. "A review on the role, cost and value of hydrogen energy systems for deep decarbonisation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 279-294.
    8. del Pozo Gonzalez, Hector & Bernadet, Lucile & Torrell, Marc & Bianchi, Fernando D. & Tarancón, Albert & Gomis-Bellmunt, Oriol & Dominguez-Garcia, Jose Luis, 2023. "Power transition cycles of reversible solid oxide cells and its impacts on microgrids," Applied Energy, Elsevier, vol. 352(C).
    9. Buttler, Alexander & Spliethoff, Hartmut, 2018. "Current status of water electrolysis for energy storage, grid balancing and sector coupling via power-to-gas and power-to-liquids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2440-2454.
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