(768a) Scaled Degree of Rate Control: Identifying Elementary Steps That Control Differences in Performance of Transition Metal Catalysts
AIChE Annual Meeting
2016
2016 AIChE Annual Meeting
Catalysis and Reaction Engineering Division
Rational Catalyst Design II:Computational Design of Catalytic Systems
Friday, November 18, 2016 - 8:30am to 8:50am
A commonly used method in the determination of a rate limiting or selectivity controlling step in a complex kinetic network is the â??Degree of Rate Controlâ? (DoRC) method, a sensitivity analysis approach first proposed by Campbell.1 The DoRC simplifies complex reactions to identify a few steps that are crucial to performance, thereby facilitating the identification of novel catalysts. However, due to the assumption of parametric independence, the DoRC analysis is not rigorous for heterogeneous catalytic reactions where surface species and transition state energies are related through parametric correlations, such as linear scaling (LS) and Brønsted-Evans-Polanyi (BEP) relations.
Here we propose a computational approach for the identification of elementary steps that are responsible for the differences of catalytic behavior of transition metal catalysts, by implicitly incorporating inherent parametric correlations in DoRC calculations. We introduce the concept of â??scaled degree of rate controlâ?, (S-DoRC) which is closely related to Nørskov and Bligaardâ??s â??degree of catalytic controlâ?.2 Rather than identifying all steps, which could influence the rate or selectivity of a catalytic reaction as in the DoRC analysis, the S-DoRC only identifies the relevant rate or selectivity controlling steps that are tunable within the confines of LS and BEP relations. We derive a formulation for the S-DoRC, which is simple to implement as a modification of DoRC, given the expansive and previously published parametric correlations.
1. Campbell, C. T. Finding the Rate-Determining Step in a Mechanism. J. Catal. 204, 520â??524 (2001).
2. Nørskov, J. K., Bligaard, T. & Kleis, J. Rate control and reaction engineering. Science 324, 1655â??6 (2009).