Prediction of SOFC Performance with or without Experiments: A Study on Minimum Requirements for Experimental Data

  • Yang T
  • Sezer H
  • Celik I
  • et al.
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Abstract

In the present study, a physics-based procedure combining experiments and multi-physics numerical simulations is developed for overall analysis of SOFCs operational diagnostics and performance predictions. In this procedure, essential information for the fuel cell is extracted first by utilizing empirical polarization analysis in conjunction with experiments and refined by multi-physics numerical simulations via simultaneous analysis and calibration of polarization curve and impedance behavior. The performance at different utilization cases and operating currents is also predicted to confirm the accuracy of the proposed model. It is demonstrated that, with the present electrochemical model, three air/fuel flow conditions are needed to produce a set of complete data for better understanding of the processes occurring within SOFCs. After calibration against button cell experiments, the methodology can be used to assess performance of planar cell without further calibration. The proposed methodology would accelerate the calibration process and improve the efficiency of design and diagnostics.

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Yang, T., Sezer, H., Celik, I. B., Finklea, H. O., & Gerdes, K. (2015). Prediction of SOFC Performance with or without Experiments: A Study on Minimum Requirements for Experimental Data. ECS Transactions, 68(1), 2397–2411. https://doi.org/10.1149/06801.2397ecst

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