CO2 conversion to CO by reverse water gas shift and dry reforming using chemical looping
RSC Sustainability,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
Chemical
looping
technology
provides
an
efficient
means
of
sustainable
CO
2
conversion
to
the
important
chemical
intermediate
or
syngas
by
changing
conventional
co-feeding
reactant
into
alternating
feeding.
It...
Language: Английский
Advancements in non-renewable and hybrid hydrogen production: Technological innovations for efficiency and carbon reduction
Fuel,
Journal Year:
2025,
Volume and Issue:
395, P. 135065 - 135065
Published: March 30, 2025
Language: Английский
Machine Learning in Carbon Capture, Utilization, Storage, and Transportation: A Review of Applications in Greenhouse Gas Emissions Reduction
Processes,
Journal Year:
2025,
Volume and Issue:
13(4), P. 1160 - 1160
Published: April 11, 2025
Carbon
Capture,
Utilization,
and
Storage
(CCUS)
technologies
have
emerged
as
indispensable
tools
in
reducing
greenhouse
gas
(GHG)
emissions
combating
climate
change.
However,
the
optimization
scalability
of
CCUS
processes
face
significant
technical
economic
challenges
that
hinder
their
widespread
implementation.
Machine
Learning
(ML)
offers
innovative
solutions
by
providing
faster,
more
accurate
alternatives
to
traditional
methods
across
value
chain.
Despite
growing
body
research
this
field,
applications
ML
remain
fragmented,
lacking
a
cohesive
synthesis
bridges
these
advancements
practical
This
review
addresses
gap
systematically
evaluating
all
major
components—CO2
capture,
transport,
storage,
utilization.
We
provide
structured
representative
examples
for
each
category
critically
examine
various
techniques,
objectives,
methodological
frameworks
employed
recent
studies.
Additionally,
we
identify
key
parameters,
limitations,
future
opportunities
applying
enhance
systems.
Our
thus
comprehensive
insights
guidance
stakeholders,
supporting
informed
decision-making
accelerating
ML-driven
commercialization.
Language: Английский
Integrating triboelectric nanogenerators with precision acupuncture for technological advancement in traditional healing
Dan Li,
No information about this author
Wei Wei,
No information about this author
Dan Zheng
No information about this author
et al.
Materials Today Chemistry,
Journal Year:
2025,
Volume and Issue:
46, P. 102744 - 102744
Published: May 12, 2025
Language: Английский
Material Engineering Solutions toward Selective Redox Catalysts for Chemical-Looping-Based Olefin Production Schemes: A Review
Alexander Oing,
No information about this author
Elena von Müller,
No information about this author
Felix Donat
No information about this author
et al.
Energy & Fuels,
Journal Year:
2024,
Volume and Issue:
38(18), P. 17326 - 17342
Published: Sept. 10, 2024
Chemical
looping
(CL)
has
emerged
as
a
promising
approach
in
the
oxidative
dehydrogenation
(ODH)
of
light
alkanes,
offering
an
opportunity
for
significant
reductions
emissions
and
energy
consumption
ethylene
propylene
production
industry.
While
high
olefin
yields
are
achievable
via
CL,
material
requirements
(e.g.,
electronic
geometric
structures)
that
prevent
total
conversion
alkanes
to
CO
Language: Английский
2024 Pioneers in Energy Research: Juan Adánez
Energy & Fuels,
Journal Year:
2024,
Volume and Issue:
38(22), P. 21666 - 21671
Published: Nov. 6, 2024
Language: Английский
Integration of supervised machine learning for predictive evaluation of chemical looping hydrogen production and storage system
Renge Li,
No information about this author
Jimin Zeng,
No information about this author
Yintao Wei
No information about this author
et al.
Sustainable Energy & Fuels,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 17, 2024
Machine
learning
integrates
with
the
chemical
looping
hydrogen
production
system
to
accelerate
development
process
and
reduce
experimental
trial-and-error
costs.
Language: Английский