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Heterogeneous catalytic reactor design with optimum temperature profile II: application of non-uniform catalyst

机译:具有最佳温度分布的非均相催化反应器设计II:非均匀催化剂的应用

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A new methodology has been developed to design non-isothermal, non-adiabatic heterogeneous catalytic fixed bed and tubular reactors with optimal temperature profiles inside a reactor. Catalyst characteristics such as pellet diameter, shape and activity distributions inside a pellet are considered simultaneously for reactor design. Various types of non-uniform activity distributions inside a pellet are modelled and optimised for the maximisation of an objective such as yield or selectivity. Dirac-delta, layered and general non-uniform distribution profiles such as egg-shell, egg-yolk and middle peak distributions are applied for the reactor design. The research demonstrates that different catalyst distribution profiles can approach the optimum performance. Whilst it is known that the Dirac-delta profile (and its step-function equivalent) always gives the best performance for clean catalyst, other profiles can approach this performance and might offer advantages in catalyst manufacture and under degraded conditions. A profile-based synthesis approach is applied to generate various shapes of activity profiles for multiple sections along the reactor during the optimisation of non-uniform catalyst pellets. A case study with the ethylene oxidation process illustrates that the catalyst characteristics, such as activity distribution profiles inside a pellet, sizes and shapes can be manipulated to control the temperature through the reactor very effectively, leading to significant improvements in selectivity or yield. The non-uniform catalyst pellet is further applied to various reactor configurations such as inert mixing and We stream distributions. This work is the first to consider all of these effects simultaneously. (C) 2004 Elsevier Ltd. All rights reserved.
机译:已经开发出一种新的方法来设计具有反应器内部最佳温度分布的非等温,非绝热非均相催化固定床和管式反应器。在设计反应器时,应同时考虑催化剂特性,例如颗粒直径,形状和颗粒内部的活性分布。对颗粒内部各种类型的非均匀活性分布进行建模和优化,以实现目标的最大化,例如产量或选择性。反应堆设计采用狄拉克δ,分层分布和一般的不均匀分布轮廓(例如蛋壳,蛋黄和中峰分布)。研究表明,不同的催化剂分布曲线可以达到最佳性能。众所周知,狄拉克-德尔塔曲线(及其阶跃函数等效值)始终为清洁催化剂提供最佳性能,而其他曲线可以达到此性能,并且可能在催化剂制造和降解条件下提供优势。在非均匀催化剂颗粒的优化过程中,基于轮廓的合成方法可应用于沿着反应器的多个部分生成各种形状的活性轮廓。乙烯氧化过程的案例研究表明,可以控制催化剂的特性,例如颗粒内部的活性分布,大小和形状,以非常有效地控制反应器的温度,从而显着提高选择性或产率。该不均匀的催化剂颗粒进一步应用于各种反应器配置,例如惰性混合和We流分布。这项工作是第一个同时考虑所有这些影响的工作。 (C)2004 Elsevier Ltd.保留所有权利。

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