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Optimal design of an autothermal membrane reactor coupling the dehydrogenation of ethylbenzene to styrene with the hydrogenation of nitrobenzene to aniline

机译:乙苯脱氢制苯乙烯与硝基苯加氢制苯胺的自热膜反应器的优化设计

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Coupling the dehydrogenation of ethylbenzene to styrene with the hydrogenation of nitrobenzene to aniline in a catalytic fixed bed membrane reactor has the potential for significantly improving both processes (Abo-Ghander et al., 2008. Modeling of a novel membrane reactor to integrate dehydrogenation of ethylbenzene to styrene with hydrogenation of nitrobenzene to aniline. Chemical Engineering Science, 63 (7), 1817-1826). In a continuing effort to realize this potential, an optimal design is sought for a co-current coupled flow, catalytic membrane reactor configuration. To achieve this objective, two conflicting objective functions, namely: the yield of styrene on the dehydrogenation side and the conversion of nitrobenzene on the hydrogenation side, are considered. The total number of the decision variables considered in the optimization problem is 12, representing a set of operating and dimensional parameters. The problem is solved numerically by two deterministic multi-objective optimization approaches: the normalized normal constraint method and the normal boundary intersection method. It was found that the integrated reactor system can be operated to produce a maximum styrene yield of 97% when production of styrene is emphasized and, on the other hand, up to 80% of nitrobenzene conversion when nitrobenzene conversion is concentrated on. The resulting sets of Pareto optimal solutions obtained by both techniques are shown to be identical. Qualitative explanations are provided for the effect of the decision variables on both objectives.
机译:在催化固定床膜反应器中将乙苯脱氢为苯乙烯与硝基苯加氢为苯胺相结合,具有显着改善两种方法的潜力(Abo-Ghander等人,2008年。一种新型膜反应器的模型,集成了乙苯脱氢硝基苯加氢制苯胺制得苯乙烯(化学工程科学,63(7),1817-1826)。为了不断地实现这一潜力,一直在寻找一种用于并流耦合流催化膜反应器配置的最佳设计。为了实现该目的,考虑了两个矛盾的目标功能,即:在脱氢侧的苯乙烯产率和在氢化侧的硝基苯转化率。在优化问题中考虑的决策变量总数为12,代表一组操作和尺寸参数。该问题通过两种确定性的多目标优化方法得到数值解决:归一化法向约束方法和法向边界交集方法。已经发现,当强调苯乙烯的生产时,可以运行集成反应器系统以产生97%的最大苯乙烯产率;另一方面,当集中硝基苯转化时,高达80%的硝基苯转化率。通过这两种技术获得的帕累托最优解的结果集被证明是相同的。定性解释了决策变量对两个目标的影响。

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