溢出物质对催化位点的远程控制:一种化学反应工程方法

IF 9.3 2区 化学 Q1 CHEMISTRY, PHYSICAL Catalysis Reviews-Science and Engineering Pub Date : 1996-02-01 DOI:10.1080/01614949608006454
B. Delmon, G. Froment
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引用次数: 139

摘要

在过去20年中积累的证据表明,溢出过程在许多催化现象中起着至关重要的作用。四次专题讨论会强调了这一领域知识的进步,并逐渐认识到这些现象具有极其重要的后果(Delmon et al., 1973;Inui等人,1993年;Pajonk et al., 1983;斯坦伯格,1989)。尽管如此,很少有包含溢出的动力学模型被提出。在工艺设计或操作条件的定义中,很少注意到这些现象。*基于在英国温莎城堡举行的第13届化学反应工程研讨会(13 CCRE)上的演讲,该研讨会由欧洲化学工程联合会“化学反应工程”和“化学工程在催化应用中的应用”工作组联合组织。
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Remote control of catalytic sites by spillover species: A chemical reaction engineering approach
Introduction Evidence has accumulated in the last 20 years that spillover processes play a crucial role in many catalytic phenomena. Four symposia have highlighted the advances of knowledge in this area, and the progressive recognition that the phenomena have extremely important consequences (Delmon et al., 1973; Inui et al., 1993; Pajonk et al., 1983; Steinberg, 1989). In spite of this, very few kinetic models incorporating spillover have been presented. Little attention, if any, is given to these phenomena in the design of processes or in the definition of operating conditions. ∗Review based on a lecture presented at the 13th Colloquim on Chemical Reaction Engineering (13 CCRE), held in Windsor Castle, U.K., and jointly organized by the Working Parties “Chemical Reaction Engineering” and “Chemical Engineering in the Applications of Catalysis” of the European Federation of Chemical Engineering.
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来源期刊
CiteScore
22.30
自引率
2.80%
发文量
29
期刊介绍: Catalysis Reviews is dedicated to fostering interdisciplinary perspectives in catalytic science and engineering, catering to a global audience of industrial and academic researchers. This journal serves as a bridge between the realms of heterogeneous, homogeneous, and bio-catalysis, providing a crucial and critical evaluation of the current state of catalytic science and engineering. Published topics encompass advances in technology and theory, engineering and chemical aspects of catalytic reactions, reactor design, computer models, analytical tools, and statistical evaluations.
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