Ce-modified Ni/SiO2 catalysts via ammonia evaporation method to Regulate nickel phyllosilicate and enhance CO2 methanation performance
Xue-Mei Wang,
No information about this author
Yang Yu,
No information about this author
Guangfeng Long
No information about this author
et al.
Fuel,
Journal Year:
2025,
Volume and Issue:
396, P. 135263 - 135263
Published: April 10, 2025
Language: Английский
Enhancing NH3-SCO performance of Ag-based catalysts via the optimization of MgAl supports derived from LDHs
Xuezhen Liu,
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Zhiyuan Jin,
No information about this author
Yin Che
No information about this author
et al.
Separation and Purification Technology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 133007 - 133007
Published: April 1, 2025
Language: Английский
Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion
Sandeep Kumar,
No information about this author
Parmod Kumar,
No information about this author
Kuljeet Singh
No information about this author
et al.
Advanced Sustainable Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 17, 2025
Abstract
Recently,
the
power‐to‐gas
(PtG)
concept,
specifically
thermocatalytic
CO₂
conversion
via
Sabatier
process,
emerges
as
a
promising
route
for
mitigating
greenhouse
gas
emissions.
The
process
transforms
and
H₂
into
methane
water
under
low‐temperature
methanation
conditions.
This
study
suggests
new
way
to
improve
performance
of
microchannel
reactor
by
combining
computational
fluid
dynamics
(CFD),
response
surface
methodology
(RSM),
machine
learning
(ML),
multi‐objective
optimization.
Key
design
variables
include
inlet
velocity,
temperature,
channel
length
ratios.
RSM
approach
is
generating
datasets
simulation;
while,
data
augmentation
assists
ML
model
training.
Six
models—linear,
ensemble,
tree,
Gaussian,
support
vector
(SVM),
neural
networks
are
evaluated
regression
accuracy
against
RSM‐based
correlation.
Gaussian
found
superior
integrated
with
optimization
algorithm.
A
decision‐making
score
(DMS)
levels
normalizes
indicators.
It
finds
best
designs
rates
≈78.6%
CH₄
selectivity
close
99.9%.
These
results
demonstrate
an
advanced
significantly
reducing
demand
(24
h
1.471
ms)
CFD
simulations;
maintaining
accuracy,
thereby
enabling
cost‐effective,
efficient
solutions
across
various
engineering
applications
in
real‐world
PtG
applications.
Language: Английский
Origin of the light-promoted synergy among active surface/interface oxygen, water adsorption sites and basic sites on NiCo/Al3+ doped MgO for efficient photothermocatalytic cellulose steam reforming
Chemical Engineering Journal,
Journal Year:
2025,
Volume and Issue:
unknown, P. 163166 - 163166
Published: April 1, 2025
Language: Английский