In this work, we build a compact microkinetic model for a highly complex reaction network for ethylene oligomerization on H-BEA catalyst, which captures production of various species such as paraffins, olefins, dienes, cyclic hydrocarbons and aromatics up to C10 compounds. This model is more complex than the already existing oligomerization models on H-BEA [3,4] which included lower rank products, non-cyclic paraffins and olefins. We use NetGen [5] to generate the network and apply a seeding strategy to prune this network of 105 or more species down to one that has only 13.5k species. Further, we use a lumping technique to reduce the network to 700 species, whose concentrations are related to those of other species through thermodynamic equilibrium. We then parametrized the model using scaling relationships and fit a small number of parameters to capture experimental data. Through sensitivity analysis, this model can provide insights into various ‘kinetic knobs’ that can be tuned to optimize the yields of desired products and minimize coke.
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