The design of heterogeneous catalysts
relies on understanding the
fundamental surface kinetics that controls catalyst performance, and
microkinetic modeling is a tool that can help the researcher in streamlining the process of
catalyst design. Microkinetic modeling is used to identify critical
reaction intermediates and rate-determining elementary reactions,
thereby providing vital information for designing an improved catalyst.
In this review, we summarize general procedures for developing microkinetic
models using reaction kinetics parameters obtained from experimental
data, theoretical correlations, and quantum chemical calculations.
We examine the methods required to ensure the thermodynamic consistency
of the microkinetic model. We describe procedures required for parameter
adjustments to account for the heterogeneity of the catalyst and the
inherent errors in parameter estimation. We discuss the analysis of
microkinetic models to determine the rate-determining reactions using
the degree of rate control and reversibility of each elementary reaction.
We introduce incorporation of Brønsted–Evans–Polanyi
relations and scaling relations in microkinetic models and the effects
of these relations on catalytic performance and formation of volcano
curves are discussed. We review the analysis of reaction schemes in
terms of the maximum rate of elementary reactions, and we outline
a procedure to identify kinetically significant transition states
and adsorbed intermediates. We explore the application of generalized
rate expressions for the prediction of optimal binding energies of
important surface intermediates and to estimate the extent of potential
rate improvement. We also explore the application of microkinetic
modeling in homogeneous catalysis, electro-catalysis, and transient
reaction kinetics. We conclude by highlighting the challenges and
opportunities in the application of microkinetic modeling for catalyst
design.