The
initiation of the methanol-to-olefins (MTO) process is investigated
using a multiscale modeling approach where more than 100 ab initio
computed (MP2:DFT) rate constants for H-SSZ-13 are used in a batch
reactor model. The investigated reaction network includes the mechanism
for initiation (42 steps) and a representative part of the autocatalytic
olefin cycle (63 steps). The simulations unravel the dominant initiation
pathway for H-SSZ-13: dehydrogenation of methanol to CO is followed
by CO-methylation leading to the formation of the first C–C
bond in methyl acetate despite high barriers of >200 kJ/mol. Our
multiscale
approach is able to shed light on the reaction sequence that ultimately
leads to olefin formation and strikingly demonstrates that only with
a full reactor model that includes autocatalysis with olefins as cocatalysts
is one able to understand the initiation mechanism on the atomic scale.
Importantly, the model also shows that autocatalysis takes over long
before significant amounts of olefins are formed, thus guiding the
interpretation of experimental results.
The reactivity of acidic zeolites
with close Al-pairs was investigated
using density functional theory. Different spatial distances and relative
orientations of the two Al atoms were considered. Adsorption of methanol
and ammonia was computed and shown to be correlated. Additionally,
reaction barriers for the stepwise and concerted mechanism of the
dehydration of methanol to dimethyl ether were computed. These barriers
were found to correlate well with the adsorption energy of ammonia
as a descriptor. This correlation reduces some of the stronger deviations
observed in apparent activation barriers, when computing intrinsic
barriers referenced to an adsorbed species. Excluding nearest neighbors
Al-pairs that violate Löwenstein’s rule, the effect
of different Al-pair distributions is found to influence apparent
activation barriers typically by less than 20 kJ/mol with a mean absolute
deviation of 7 kJ/mol.
We investigate the influence of acidity
and confinement for different
aluminum T-site substitutions in H-ZSM-5 using reactions related to
the methanol-to-olefin (MTO) process as examples. We use density functional
theory at the PBE-D3 level to study all 12 different T-sites existing
in the MFI framework. We find that transition-state energies vary
by about 20 kJ/mol with the commonly employed T12 site having some
of the lowest barriers. A large part of the energetic differences
can be ascribed to differences in dispersion forces due to the surrounding
framework, as also evidenced by smaller and uncorrelated differences
in calculated heats of adsorption of ammonia. Our analysis shows that
taking the T12 site as a computational active site model will yield
reaction barriers that are among the lowest of all T-sites available.
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