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P. 165
Special Report
A rapid wrap-up of what’s new in Operations,
Processes and Products
Catalytic Processes
ethylene and benzene undergo highly
selective alkylation on ZSM-5 to make
EB. (Ind. Eng. Chem. Res., 2023; DOI:
10.1021/acs.iecr.3c01856).
Plasma-assisted dry reforming
of CH (DRM): How small
4
amounts of O addition can
2
drastically enhance the oxy-
genate
S. Li et al have worked on DRM with a
new strategy [DRM has been covered in
this column several times and it is likely
to be commercialised in the near future].
The plasma-based process suffers
from coke deposition due to the deep
Artificial Intelligence (AI) Direct and highly selective
methods applied to Fluid Cata- one-step production of ethyl-
lytic Cracking (FCC) benzene (EB) from syngas and
benzene
Big Data Mining and Analytics, un-
der the authorship of F. Yang et al, S. Zhao et al reported the title process
have reported the application of AI which can give considerable reduction
to FCC, which is of great importance in the cost of making EB as the use of decomposition of CH . DRM perfor-
4
in petroleum refi ning/petrochemical ethylene is avoided. Here a three-bed mance upon O addition was assessed
2
areas. Here many highly non-linear series is deployed where the fi rst bed along with varying temperature, CO /
2
and interrelated factors are involved. layer, ZnAl O /SAPO-34, converts CH ratio, discharge power, and gas
4
2
4
Product yield analysis is of crucial syngas to methanol (M)/dimethyl ether residence time with a view to optimise
importance. Unlike the traditional (DME); then this goes to low-carbon oxygenate production. This strategy
mathematical mechanism method, the olefi ns on SAPO-34, with the micro- allows shift from making syngas, CO
AI method can effectively solve the porous shape-selective effect of SAPO- + H , to oxygenates. The mechanism
2
diffi culties in FCC process modelling, 34 which inhibits the generation of is explained. (ACS Sustainable Chem.
such as high-dimensional, non-linear, toluene/xylene in the alkylation of ben- Eng., 2023; DOI: 10.1021/acssusche-
strong correlation, and large delay. zene with M/DME. In the third layer, meng.3c04352).
Massive data have been utilised and
the functional relationship between Recent trends, current challenges
operating variables and products are and future prospects for syn-
discussed. Modelling and optimisa- gas-free methane partial oxi-
tion have been assisted. Thus, this dation
knowledge-driven algorithm is very
useful and better results can be rea- A. Blankenship et al have discussed the
lised. (DOI: 10.265991/BDMA.2023. title subject where CH is oxidised to
4
9020002). liquid products like CH OH, without
3
Chemical Weekly April 9, 2024 165
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