Dynamic optimization of dry reformer under catalyst sintering using neural networks

Mazen Azzam,Nicolas Abdel Karim Aramouni,Mohammad N.M. Ahmad,Mariette Awad,Witold Kwapinski,Joseph Zeaiter

Energy Conversion and Management（2018）

引用 22|浏览7

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摘要

•Artificial neural networks (ANN’s) used to model dry reformer operation.•Genetic algorithm (GA) developed to design optimal ANN architectures.•GA generated ANN model used to optimize reactor performance under catalyst sintering.•Optimum conditions of high temperatures with increasing pressure to compensate for sintering.

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关键词

Artificial neural networks,Genetic algorithm,Reforming,Syngas,Ni catalyst

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