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Parameter estimation for empirical and semi-empirical models in a direct ethanol fuel cell
LUIS DANIEL BLANCO COCOM
SALVADOR BOTELLO RIONDA
Luis Carlos Ordóñez López
SERGIO IVVAN VALDEZ PEÑA
Acceso Abierto
Atribución-NoComercial-SinDerivadas
https://doi.org/10.1016/j.egyr.2023.07.002
DIRECT ETHANOL FUEL CELL (DEFC)
EMPIRICAL MATHEMATICAL MODEL
SEMI-EMPIRICAL MATHEMATICAL MODEL
PARAMETER ESTIMATION
UMDA
Experimental data from a Direct Ethanol Fuel Cell (DEFC) provides a general perspective about its performance; nevertheless, it does not provide information about the cell’s physical characteristics nor information to improve its performance. On the other hand, numerical simulation can be used to test the cell’s design and boost its performance but requires a set of physical parameters. In this proposal, we introduce a novel modification to an empirical model for a Direct Methanol Fuel Cell to make it suitable for DEFC simulations at different temperatures by a new semi-empirical mathematical model. In addition, we introduce temperature-depending parametric forms of several terms to reduce the number of possible parameters to estimate from the DEFC. Then, we combined the models with an estimation of distribution algorithm to find the numerical simulation that best reproduces the experimental polarization curve. The method is validated by estimating the parameters to reproduce the experimental data at different temperatures reported in the literature, and with data obtained in an in-house open-cathode DEFC, recorded at a scan rate of 10 mVs−1…
2023
Artículo
Energy Reports, 10, 451-459, 2023.
Inglés
Blanco-Cocom, L., Botello-Rionda, S., Ordoñez, L. C., & Valdez, S. I. (2023). Parameter estimation for empirical and semi-empirical models in a direct ethanol fuel cell. Energy Reports, 10, 451-459.
ENERGÍA
Versión publicada
publishedVersion - Versión publicada
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