Reaction Engineering Overview

Principles

Definition

Reaction engineering is a field within chemical engineering that investigates the rates, mechanisms, and energy changes of chemical reactions, coupled with transport phenomena, to enable the rigorous analysis, design, and optimization of chemical reactors for industrial and research applications. This discipline focuses on understanding how chemical reactions proceed under varying conditions within a reactor environment to ensure efficient and safe chemical processing.

Ontological type

Reactor Types

Rate Laws

Transport Phenomena Coupling

Key developments

Key Figures

Transport-Driven Nonlinear Dynamics era

Thomas G. Kurtz [1] was active at the University of Wisconsin–Madison [3] and the University of Kentucky [4] in this era. His key contribution was The Relationship between Stochastic and Deterministic Models for Chemical Reactions [7], a foundational bridge that enabled the analysis of transport–kinetics coupling and nonlinear dynamics in reactors. John R. Bourne [2] was active at the École Polytechnique Fédérale de Lausanne [5] and Vanderbilt University [6] during this era. His contributions, including the series Mixing and fast chemical reaction—I [8], Mixing and fast chemical reaction—III [9], and Mixing and fast chemical reaction—IV The dimensions of the reaction zone [10], advanced understanding of how mixing and diffusion interact with fast reactions to shape reactor performance and transport-limited conversions, guiding catalyst assessment and reactor design in this era.

Mechanism-Driven Multiscale Design era

H. Bernhard Schlegel [1] played a leading role in the Mechanism-Driven Multiscale Design era (1988–2008), with work spanning University of Washington [3] and Yale University [4]. A key contribution of Schlegel is the development of an improved algorithm for reaction path following [7], advancing mechanism exploration and enabling integration with transport phenomena across scales—vital for this era's multiscale design. J. Troe [2] was active across University of Göttingen [5] and Purdue University West Lafayette [6] during this period. His pivotal contribution is the Evaluated Kinetic Data for Combustion Modeling: Supplement II [8], which supplied vetted kinetic data that underpinned validated mechanisms and reliable scale-up within mechanism-driven modeling.

Data-Driven Flow Intensification era

Henry J. Curran [1], linked to National University of Ireland [3] and Ollscoil na Gaillimhe – University of Galway [4], was an influential contributor to data-enabled flow and kinetic modeling in this era. This 2013 paper by Curran [1], A Hierarchical and Comparative Kinetic Modeling Study of C1− C2 Hydrocarbon and Oxygenated Fuels [7], demonstrates hierarchical kinetic modeling that connects mechanistic details with data-driven approaches, providing essential insights for predicting and optimizing reactor performance in data-driven flow intensification. Andreas Kirschning [2], connected with University of Washington [5] and University of Cambridge [6] in this era, helped shape the flow technology landscape. The 2012 paper Flow Chemistry – A Key Enabling Technology for (Multistep) Organic Synthesis [8] from Kirschning [2] established flow chemistry as a central enabling technology for modular, multistep synthesis in data-driven flow intensification.