In this paper high-throughput and combinatorial strategies are used to investigate the development of dry reforming catalysts at elevated pressure(7bar). Via a design of experiment(DoE)two straightforward search strategies, D-optimal and full factorial, were evaluated in their ability to identify highly active and selective catalysts.
An extensive high-throughput screening has pointed out that Ni and MgAl2O4 were the active element and support, respectively, with the highest potential for the dry reforming reaction at elevated pressure. A promoter screening of alkaline, alkaline-earth, transition and lanthanide metaloxides on NiMgAl2O4 catalysts showed that promotereffects, reported at atmospheric pressure,not always hold at elevated pressure. La2O3, Y2O3 and ZrO2 were selected as promoters for further use in DoE. A cubic space, constructed with elements with high potential, was explored by the two searchstrategies. ANOVA analyses of the experimental data resulted in linear equations for the conversions of CH4 (XCH4 ), CO2 (XCO2 ) and
the H2/CO ratio.
Both strategies allowed predicting comparable catalytic results in the major part of the cubic space and deducing the same effects on activity and selectivity for the three selected promoterelements. La2O3 affected activity and selectivity in a positive way, while the other two promoters, ZrO2 and Y2O3, resulted in a decreased catalyst performance. Based on the linear equations an objective function R was created to determine the most active and selective catalysts. Maximum R values were obtained for the same catalyst composition in case of the two different searchstrategies, hereby demonstrating the advantage
of the D-optimal strategy over the full factorial strategy, since in the former case comparable results are obtained with only half of the number of experiments.