Abstract
The necessity of this work arose from the need for identification of a comprehensive plant model that can be used in the model-based control of the MCFC plant. Various models for molten carbonate fuel cell (MCFC) processes are presented and evaluated in this paper. Both a rigorous model based on mass and energy balances and implicit models based on operation data were investigated and analyzed. In particular, auto-regressive moving average (ARMA) model, least-squares support vector machine (LSSVM) model, artificial neural network (ANN) model and partial least squares (PLS) model for a MCFC system were developed based on input-output operating data. Among these models, the ARMA model showed the best agreement with plant operation data.
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Kim, T.Y., Kim, B.S., Park, T.C. et al. A comparative study of models for molten carbonate fuel cell (MCFC) processes. Korean J. Chem. Eng. 34, 1952–1960 (2017). https://doi.org/10.1007/s11814-017-0117-y
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DOI: https://doi.org/10.1007/s11814-017-0117-y