Journal of Organizational and End User Computing,
Journal Year:
2024,
Volume and Issue:
36(1), P. 1 - 24
Published: Nov. 1, 2024
This
research
unravels
the
strategic
confluence
of
environmental
leadership
and
cutting-edge
Artificial
Intelligence
(AI)
in
realm
Carbon
Capture
technology,
their
combined
effect
on
financial
fortitude
U.S.
firms.
It
posits
that
a
firm's
vision,
when
led
by
transformative
green
leadership,
significantly
propels
effective
adoption
solutions.
Drawing
data
from
145
publicly
traded
entities
years
2017
to
2019,
provided
Disclosure
Project
Compustat,
this
study
meticulously
explores
interrelation
between
initiatives
-
including
managerial
focus,
shared
proactive
strategies,
innovation—and
its
performance
outcomes.
The
findings
illuminate
while
commitments
like
management
focus
unified
vision
greatly
encourage
embracement
Capture,
implications
these
adoptions
present
complex
picture.
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.
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2025,
Volume and Issue:
10(1)
Published: Jan. 1, 2025
Abstract
The
increasing
global
carbon
footprint
necessitates
advanced
solutions
for
mitigating
greenhouse
gas
emissions,
with
Carbon
Capture
and
Storage
(CCS)
emerging
as
a
critical
strategy.
However,
optimizing
CCS
processes
efficiency,
cost-effectiveness,
environmental
sustainability
remains
significant
challenge.
This
study
proposes
an
artificial
intelligence
(AI)-driven
framework
operations,
integrating
machine
learning
models,
deep
reinforcement
learning,
process
simulation
techniques
to
enhance
capture
reduce
energy
consumption,
improve
storage
security.
proposed
AI
models
leverage
historical
real-time
data
predict
CO_2
rates,
optimize
absorption
adsorption
parameters,
dynamically
control
injection
strategies
in
geological
sites.
Furthermore,
impact
assessment
is
incorporated
evaluate
the
long-term
effects
of
applications.
Comparative
analyses
conventional
optimization
methods
demonstrate
superior
performance
AI-driven
approaches
reducing
operational
costs
enhancing
system
stability.
results
highlight
AI’s
transformative
role
advancing
technologies,
supporting
decarbonization
efforts,
fostering
sustainable
transitions.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 121 - 148
Published: Feb. 21, 2025
The
demand
for
sustainable
energy
storage
has
driven
advancements
in
material
science,
where
Computational
Intelligence
(CI)
is
emerging
as
a
key
tool.
CI
techniques
like
machine
learning
and
neural
networks
optimize
complex
processes,
enhancing
properties
manufacturing
efficiency.
In
storage,
accelerates
the
discovery
of
materials
advanced
batteries,
supercapacitors,
hydrogen
improving
density,
cycle
life,
safety.
also
aids
environmental
applications,
such
water
purification
carbon
capture,
by
performance.
Despite
challenges
data
availability
computational
resources,
CI's
integration
into
promises
more
future.
Journal of Organizational and End User Computing,
Journal Year:
2024,
Volume and Issue:
36(1), P. 1 - 24
Published: Nov. 1, 2024
This
research
unravels
the
strategic
confluence
of
environmental
leadership
and
cutting-edge
Artificial
Intelligence
(AI)
in
realm
Carbon
Capture
technology,
their
combined
effect
on
financial
fortitude
U.S.
firms.
It
posits
that
a
firm's
vision,
when
led
by
transformative
green
leadership,
significantly
propels
effective
adoption
solutions.
Drawing
data
from
145
publicly
traded
entities
years
2017
to
2019,
provided
Disclosure
Project
Compustat,
this
study
meticulously
explores
interrelation
between
initiatives
-
including
managerial
focus,
shared
proactive
strategies,
innovation—and
its
performance
outcomes.
The
findings
illuminate
while
commitments
like
management
focus
unified
vision
greatly
encourage
embracement
Capture,
implications
these
adoptions
present
complex
picture.
