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.
Trends in Sciences,
Journal Year:
2024,
Volume and Issue:
21(8), P. 8287 - 8287
Published: June 1, 2024
The
spread
of
infectious
diseases
such
as
COVID-19
depends
on
complex
fluid
dynamics
interactions
between
pathogens
and
phases,
including
individual
droplets
multiphase
clouds.
Understanding
these
is
crucial
for
predicting
controlling
disease
spread.
This
applies
to
human
animal
exhalations,
coughs
sneezes,
well
bursting
bubbles
that
create
micron-sized
in
various
indoor
outdoor
environments.
By
exploring
case
studies
this
regard,
study
examines
the
emerging
field
transmission,
focusing
flows,
interfacial
turbulence,
pathogens,
traffic,
aerosol
ventilation,
breathing
microenvironments.
These
results
indicate
increased
ventilation
rates
local
methods
can
effectively
reduce
concentration
SARS-CoV-2-laden
aerosols
immediate
spaces
individuals.
In
a
displacement-ventilated
room,
both
neutral
unstable
conditions
were
more
effective
removing
breathed
from
air,
regardless
presence
test
subjects.
However,
stable
may
increase
risk
infection
individuals
living
confined
spaces.
Thus,
findings
are
useful
providing
practical
guidance
managing
airborne
infections.
HIGHLIGHTS
Fluid
affect
transmission
explored
flow,
dispersion,
respiratory
zones
Increased
SARS-CoV-2
Displacement
eliminates
under
Cramped
damp
environments
GRAPHICAL
ABSTRACT
Eng—Advances in Engineering,
Journal Year:
2024,
Volume and Issue:
5(3), P. 1298 - 1336
Published: July 4, 2024
Carbon
dioxide
(CO2),
as
the
primary
greenhouse
gas,
has
significant
impacts
on
global
climate
change,
leading
to
severe
and
irreversible
adverse
consequences
for
ecosystems
human
environments.
To
address
issue
of
excessive
CO2
emissions,
efforts
in
recent
years
have
yielded
progress
development
clean
energy
sources
promotion
carbon
capture,
utilization,
storage
(CCUS)
technologies.
Conventional
capture
techniques
are
limited
addressing
atmospheric
excess
effectively,
they
target
only
high-concentration
emissions
require
implementation
at
specific
emission
points.
Direct
air
(DAC)
technology
emerged
a
promising
solution
due
its
flexibility
deployment,
avoidance
land
competition,
ability
legacy
emissions.
Additionally,
DAC
offers
opportunities
producing
synthetic
fuels,
thereby
reducing
reliance
traditional
fossil
fuels
aiding
gas
This
study
provides
comprehensive
review
technology,
encompassing
principles,
technological
advancements,
real-world
applications,
challenges,
future
research
directions.
By
offering
insights
into
current
state
potential
this
aims
guide
scaling
up
ultimately
contributing
achieving
neutrality
or
even
negative
Sustainable Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 6, 2024
Abstract
Artificial
intelligence
(AI)
and
environmental
points
are
equally
important
components
within
the
response
to
local
weather
change.
Therefore,
based
on
efforts
of
reducing
carbon
emissions
more
efficiently
effectively,
this
study
tries
focus
AI
integration
with
capture
technology.
The
urgency
tackling
climate
change
means
we
need
advanced
capture,
is
an
area
where
can
make
a
huge
impact
in
how
these
technologies
operated
managed.
It
will
minimize
manufacturing
improve
both
resource
efficiency
as
well
our
planet's
footprint
by
turning
waste
into
something
value
again.
could
be
leveraged
analyze
data
sets
from
plants,
searching
for
optimal
system
settings
efficient
ways
identifying
patterns
available
information
at
larger
scale
than
currently
possible.
In
addition,
incorporated
sensors
monitoring
mechanisms
supply
chain
identify
any
operational
failure
reception
itself
allowing
timely
action
protect
those
areas.
also
helps
generative
design
materials,
which
allows
researchers
explore
new
types
carbon‐absorbing
material,
including
metal–organic
frameworks
polymeric
materials
that
industrial
CO
2
,
such
moisture.
it
increases
accuracy
reservoir
simulations
controls
injection
systems
storage
or
enhanced
oil
recovery.
Through
applying
algorithms
geology,
production
performance
real‐time
would
like
facilitate
optimization
processes
while
assuring
maximum
efficiency.
integrates
renewable‐based
employed
AI‐driven
smart
grid
methods.
The Chemical Record,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 4, 2024
Abstract
Carbon
dioxide
(CO
2
)
adsorption
on
solid
sorbents
represents
a
promising
technology
for
separating
carbon
from
different
sources
and
mitigating
anthropogenic
emissions.
The
complete
integration
of
capture
technologies
in
various
industrial
sectors
will
be
crucial
sustainable,
low‐carbon
future.
Despite
developing
new
sorbents,
comprehensive
strategy
is
essential
to
realize
the
full
potential
widespread
adoption
CO
technologies,
including
engineering
aspects.
This
study
discusses
pathway
deploying
adsorption‐based
fundamental
material
science
aspects,
thermo‐physical
properties
behavior
at
molecular
level,
pilot
scale
demonstrations.
When
integrated
with
process
simulation
economic
evaluations,
these
techniques
are
instrumental
enhancing
efficiency
cost‐effectiveness
capturing
processes.
While
advancements
have
been
notable,
their
deployment
still
encounters
significant
hurdles,
technical,
economic,
environmental
challenges.
Leveraging
hybrid
systems,
renewable
energy
integration,
strategic
application
emerging
machine
learning
appear
address
global
warming
effectively
consequently
discussed
this
investigation.
ADVANCES IN GEO-ENERGY RESEARCH,
Journal Year:
2024,
Volume and Issue:
13(3), P. 161 - 165
Published: May 18, 2024
Deep
learning
has
been
widely
recognized
in
the
field
of
CO2
geological
utilization
and
storage
applications.
With
development
deep
algorithms,
intelligent
models
are
gradually
able
to
improve
multi-source,
multi-scale
multi-physicochemical
mechanism
barriers
with
high-fidelity
solutions
practical
In
this
perspective,
an
overview
traditional
state-of-the-art
architectures
involved
is
outlined
terms
evolutionary
trajectories.
Meanwhile,
favorable
directions
application
scenarios
different
algorithms
for
geo-energy
intelligence
modeling
summarized.
Moreover,
further
insights
into
future
direction
burgeoning
f
ield
provided.
The
physics-guided
learning,
explainable
artificial
intelligence,
generative
expected
deliver
more
accurate
information
extraction
decision
support
within
communities.
Document
Type:
Perspective
Cited
as:
Wang,
Y.,
Chu,
H.,
Lyu,
X.
storage:
Recent
advances
perspectives.
Advances
Geo-Energy
Research,
2024,
13(3):
161-165.
https://doi.org/10.46690/ager.2024.09.01
