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Performance characterization and modelling of syngas-fed SOFCs (solid oxide fuel cells) varying fuel composition

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  • Baldinelli, Arianna
  • Barelli, Linda
  • Bidini, Gianni

Abstract

SOFCs (solid oxide fuel cells) are a promising technology for electric power generation, because of their high efficiency and fuel flexibility. Relative to more mature technologies, they appear very competitive starting from small-scale applications. The aim of this study is to map SOFC performances varying fuel composition, reproducing gases of technical interest (biomass air and oxy-gasification, water and carbon dioxide co-electrolysis, steam methane reforming) and to provide a forecasting tool to predict performance upon the fuel composition occurring in any application. Therefore, at first commercial SOFC are tested using several fuel gas mixtures produced by means of the chosen technologies (H2, CO, CH4 molar fractions ranges are respectively 8–50%, 0–42%, 1–8%). Secondly, experimental data are used to build a mathematical tool to predict SOFC characteristic curve from the fuel composition. This result is interesting from the point of view of system-level modelling, because it allows characterizing commercial SOFCs performances in many technical applications. Forecast error is less than 1%. Because of its accuracy, the model can be implemented to assess properly SOFC performance as a consequence of any particular hybridization, whereas fuel composition falls into the range already defined.

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  • Baldinelli, Arianna & Barelli, Linda & Bidini, Gianni, 2015. "Performance characterization and modelling of syngas-fed SOFCs (solid oxide fuel cells) varying fuel composition," Energy, Elsevier, vol. 90(P2), pages 2070-2084.
    • Handle: RePEc:eee:energy:v:90:y:2015:i:p2:p:2070-2084
    DOI: 10.1016/j.energy.2015.07.126
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    6. Cavalli, A. & Fernandes, A. & Aravind, P.V., 2021. "Thermodynamic analysis of an improved integrated biomass gasifier solid oxide fuel cell micro combined heat and power system," Energy, Elsevier, vol. 231(C).
    7. Pongratz, Gernot & Subotić, Vanja & Hochenauer, Christoph & Scharler, Robert & Anca-Couce, Andrés, 2022. "Solid oxide fuel cell operation with biomass gasification product gases: Performance- and carbon deposition risk evaluation via a CFD modelling approach," Energy, Elsevier, vol. 244(PB).
    8. Subotić, Vanja & Baldinelli, Arianna & Barelli, Linda & Scharler, Robert & Pongratz, Gernot & Hochenauer, Christoph & Anca-Couce, Andrés, 2019. "Applicability of the SOFC technology for coupling with biomass-gasifier systems: Short- and long-term experimental study on SOFC performance and degradation behaviour," Applied Energy, Elsevier, vol. 256(C).
    9. Habibollahzade, Ali & Rosen, Marc A., 2021. "Syngas-fueled solid oxide fuel cell functionality improvement through appropriate feedstock selection and multi-criteria optimization using Air/O2-enriched-air gasification agents," Applied Energy, Elsevier, vol. 286(C).
    10. Chatrattanawet, Narissara & Saebea, Dang & Authayanun, Suthida & Arpornwichanop, Amornchai & Patcharavorachot, Yaneeporn, 2018. "Performance and environmental study of a biogas-fuelled solid oxide fuel cell with different reforming approaches," Energy, Elsevier, vol. 146(C), pages 131-140.
    11. Santhanam, S. & Schilt, C. & Turker, B. & Woudstra, T. & Aravind, P.V., 2016. "Thermodynamic modeling and evaluation of high efficiency heat pipe integrated biomass Gasifier–Solid Oxide Fuel Cells–Gas Turbine systems," Energy, Elsevier, vol. 109(C), pages 751-764.
    12. Pongratz, G. & Subotić, V. & Schroettner, H. & Hochenauer, C. & Skrzypkiewicz, M. & Kupecki, Jakub & Anca-Couce, A. & Scharler, R., 2021. "Analysis of H2S-related short-term degradation and regeneration of anode- and electrolyte supported solid oxide fuel cells fueled with biomass steam gasifier product gas," Energy, Elsevier, vol. 218(C).
    13. Orlando Corigliano & Leonardo Pagnotta & Petronilla Fragiacomo, 2022. "On the Technology of Solid Oxide Fuel Cell (SOFC) Energy Systems for Stationary Power Generation: A Review," Sustainability, MDPI, vol. 14(22), pages 1-73, November.

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