基于反应体积变化数学模型的催化重整反应器截面优化

I. Gubaydullin, K. Koledina, S. Koledin, Ravil Zaynaullin
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引用次数: 0

摘要

提出了汽油催化重整反应器截面优化的多准则问题。确定了以下特定的优化任务:模拟和优化批量低辛烷值汽油生产的化学技术催化过程,并获得有效的高辛烷值增强剂。阐述了工艺优化准则。利用NSGA-II算法解决了工业汽油重整工艺条件的多准则优化问题。提出了确定高辛烷值汽油产率最高、苯含量最小的折衷条件的帕累托集和前逼近法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Catalytic Reforming Reactor Section Optimization Based On A Mathematical Model Accounting The Reaction Volume Changes
A multi-criteria issue concerning gasoline catalytic reforming reactor section optimization was stated. The following particular optimization tasks have been defined: modeling and optimization of chemical-technological catalytic processes for bulk low-octane gasoline production and for obtaining effective high-octane enhancers. Process optimization criteria have been elaborated. The issue of multi-criteria optimization of industrial gasoline reforming process conditions with the help of algorithm NSGA-II has been resolved. Pareto set and front approximations that provide for determining of compromise conditions with maximum yield of high-octane gasoline with the smallest content of benzol have been developed.
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