ANN for hybrid modelling of batch and fed-batch chemical reactors

نویسندگان

چکیده

An unconventional modelling methodology based on artificial neural networks is proposed to rapidly develop a model from data obtained during different batch experiments. The objective of the global predict time evolution concentrations all species present in reaction medium. For this, recurrent are elaborated estimate particular as function operating parameters and then assembled complex model. To validate approach, esterification methanol by acetic acid, which presents equilibrium, has been chosen. kinetic chemical experiments conducted mode correctly represented whatever conditions. Finally, integrated hybrid This permits transpose semi-batch reactor not considered learning phase.

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ژورنال

عنوان ژورنال: Chemical Engineering Science

سال: 2021

ISSN: ['1873-4405', '0009-2509']

DOI: https://doi.org/10.1016/j.ces.2021.116522