Abstract
The present work proposes a new experimental strategy based on a general model which describes and includes different reactor technologies. The strategy is based on a sequential iterative approach where, in a predictive step, the model is used to propose optimal experimental conditions, and, in a validation step, experimental data are used to improve the parameter estimation.A specific work bench with three types of reactors (batch, semi-batch stirred tank and continuous plug flow reactor) has been developed. The demonstration of the strategy is performed by using a classical parallel-consecutive reaction scheme, for which it has been demonstrated experimentally that the use of several reactors enlarges the experimental window, which enables to improve the accuracy on kinetic constants by comparison to using a restricted experimental window, with only one kind of reactor.
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