The Role of Lightweight AI Models in Supporting a Sustainable Transition to Renewable Energy: A Systematic Review
Energies,
Journal Year:
2025,
Volume and Issue:
18(5), P. 1192 - 1192
Published: Feb. 28, 2025
The
transition
from
fossil
fuels
to
renewable
energy
(RE)
sources
is
an
essential
step
in
mitigating
climate
change
and
ensuring
environmental
sustainability.
However,
large-scale
deployment
of
renewables
accompanied
by
new
challenges,
including
the
growing
demand
for
rare-earth
elements,
need
recycling
end-of-life
equipment,
rising
footprint
digital
tools—particularly
artificial
intelligence
(AI)
models.
This
systematic
review,
following
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISMA)
guidelines,
explores
how
lightweight,
distilled
AI
models
can
alleviate
computational
burdens
while
supporting
critical
applications
systems.
We
examined
empirical
conceptual
studies
published
between
2010
2024
that
address
energy,
circular
economy
paradigm,
model
distillation
low-energy
techniques.
Our
findings
indicate
adopting
significantly
reduce
consumption
data
processing,
enhance
grid
optimization,
support
sustainable
resource
management
across
lifecycle
infrastructures.
review
concludes
highlighting
opportunities
challenges
policymakers,
researchers,
industry
stakeholders
aiming
integrate
principles
into
RE
strategies,
emphasizing
urgent
collaborative
solutions
incentivized
policies
encourage
low-footprint
innovation.
Language: Английский
Revolutionising Green Construction: Harnessing Zeolite and AI-Driven Initiatives for Net-Zero and Climate-Adaptive Buildings
Buildings,
Journal Year:
2025,
Volume and Issue:
15(6), P. 885 - 885
Published: March 12, 2025
This
study
explored
the
role
of
zeolite
and
AI-driven
initiatives
in
sustainable
construction,
particularly
for
net-zero
climate-adaptive
buildings.
A
quantitative,
scientometric,
narrative
review
was
conducted
using
bibliometric
analysis
existing
publications
from
Scopus
Web
Science
databases
to
identify
research
trends,
key
contributions,
technological
advancements.
The
findings
revealed
that
enhances
construction
materials
by
improving
thermal
regulation,
air
purification,
carbon
capture,
while
AI
optimises
energy
efficiency,
predictive
maintenance,
material
performance.
cost–benefit
showed
integrating
reduces
long-term
costs
building
sustainability.
Comparisons
with
previous
studies
highlighted
increasing
adoption
these
technologies
due
their
environmental
economic
benefits.
concluded
combination
provides
innovative
solutions
green
offering
energy-efficient,
climate-resilient,
cost-effective
materials.
Language: Английский
Enhancing CO2 Capture Efficiency: Advanced Modifications of Solvent-Based Absorption Process—Pilot Plant Insights
Energies,
Journal Year:
2025,
Volume and Issue:
18(9), P. 2236 - 2236
Published: April 28, 2025
Since
fossil
fuels
still
dominate
industry
and
electricity
production,
post-combustion
carbon
capture
remains
essential
for
decarbonizing
these
sectors.
The
most
advanced
technique
widespread
application,
particularly
in
hard-to-abate
industries,
is
amine-based
absorption.
However,
increasing
energy
efficiency
crucial
broader
implementation.
This
study
presents
pilot-scale
results
from
the
Tauron
Power
Plant
Poland
using
a
mobile
CO2
unit
(1
TPD).
Two
innovative
process
modifications—Split
Flow
(SF)
Heat
Integrated
Stripper
(HIS)—were
experimentally
investigated;
they
achieved
10%
reduction
reboiler
heat
duty,
reaching
2.82
MJ/kgCO2,
along
with
36%
decrease
overall
losses
up
to
28%
cross-flow
exchanger
duty.
analysis
highlights
both
advantages
challenges
of
modifications.
SF
easier
retrofit
into
existing
plants,
whereas
HIS
requires
more
extensive
modifications
stripper
section,
thus
making
cost-effective
new
installations.
Moreover,
as
consumption
constitutes
primary
operational
cost,
even
moderate
duty
can
lead
significant
economic
benefits.
also
offers
substantial
potential
thermal
integration
industries
available
waste
streams.
pilot
data
underwent
validation
procedures
ensure
reliability,
which
provides
robust
foundation
modeling,
optimization,
scaling
industrial
applications.
Language: Английский