1 Optimization of ODHE Membrane Reactor Based of Mixed Ionic Electronic Conductor Using Soft Computing Techniques

This works presents the optimization of the operating conditions of a membrane reactor for the oxidative dehydration of ethane. The catalytic membrane reactor is based on a mixed ionic-electronic conducting material, i.e. Ba0.5Sr0.5Co0.8Fe0.2O, which presents high oxygen flux above 750oC under sufficient chemical potential gradient. Specifically, diluted ethane is fed in the reactor chamber and air (or diluted air) is flushed on the other membrane side. A framework based on soft computing techniques has been used to maximize the ethylene yield by varying simultaneous five operation variables: nominal reactor temperature (Temp); gas flow in the reaction compartment (QHC); gas flow in the oxygen-rich compartment (QAir); ethane concentration in the reaction compartment (%C2H6); and oxygen concentration in oxygen-rich compartment (%O2). The optimization tool combines a genetic algorithm guided by a neural network model. It is presented how the neural network model is obtained for this particular problem, and the analysis of its behaviour along the optimization process. The optimization process is analysed in terms of (1) catalytic figures of merit, i.e., evolution of yield and selectivity towards different products, and (2) framework behaviour and variable significance. The two experimental areas maximizing the ethylene yield are explored and analysed. The highest yield reached in the optimization process exceeded 92%.

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