Revolutionising Green Construction: Harnessing Zeolite and AI-Driven Initiatives for Net-Zero and Climate-Adaptive Buildings
Buildings,
Год журнала:
2025,
Номер
15(6), С. 885 - 885
Опубликована: Март 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.
Язык: Английский
Advancements and challenges in numerical analysis of hydrogen energy storage methods: Techniques, applications, and future direction
International Journal of Hydrogen Energy,
Год журнала:
2025,
Номер
125, С. 67 - 85
Опубликована: Апрель 8, 2025
Язык: Английский
Investigating the hydrogen renaissance in the global energy transition with AI integration
Energy Conversion and Management X,
Год журнала:
2025,
Номер
unknown, С. 101010 - 101010
Опубликована: Апрель 1, 2025
Язык: Английский
Review of computational advances in tailoring magnesium-hydrogen interactions: Atomistic simulations meet machine learning
International Journal of Hydrogen Energy,
Год журнала:
2024,
Номер
90, С. 114 - 133
Опубликована: Окт. 4, 2024
Язык: Английский
AI-Driven Energy Optimization in High-Performance Computing
Advances in systems analysis, software engineering, and high performance computing book series,
Год журнала:
2024,
Номер
unknown, С. 277 - 302
Опубликована: Дек. 13, 2024
The
rapid
digital
transformation
in
this
era
has
led
to
the
rise
of
high-performance
computing
(HPC)
systems
as
a
hub
for
addressing
computationally
intensive
requirements,
but
their
energy
consumption
is
also
growing
concern
due
sustainability
efforts.
This
chapter
surveys
potential
transformative
impact
Artificial
Intelligence
(AI)
optimizing
management
context
HPC
systems.
With
machine
learning
algorithms
and
predictive
analytics,
an
AI
system
can
dynamically
adapt
power
use
levels,
optimize
workload
distributions,
reduce
without
compromising
computational
performance.
techniques
discussed
include
AI-driven
founded
on
methods
such
reinforcement
neural
network
models
that
change
workloads
appropriately
support
real-time
decision-making
energy-efficient
operations.
presents
successful
AI-based
implementations
while
highlighting
high
performance
savings.
Язык: Английский
High-Performance Computer-Integrated Microcontrollers for Enhancing Food Quality Monitoring
Advances in systems analysis, software engineering, and high performance computing book series,
Год журнала:
2023,
Номер
unknown, С. 355 - 382
Опубликована: Дек. 22, 2023
Application
of
high-performance
computer
systems
and
microcontrollers
in
food
quality
monitoring
pays
extra
attention
to
their
improvements
accuracy,
efficiency,
real-time
analysis.
Advanced
allow
the
accomplishment
more
precise
critical
parameters
such
as
temperature,
humidity,
gas
composition
order
ensure
safety
from
supply
chain
outlets.
Innovations
sensor
technology,
data
processing,
wireless
communication
gave
birth
smart
for
detecting
contamination,
spoilage,
or
adulteration.
These
feed
that
enables
instantaneous
decisions
reduces
waste.
Microcontroller-based
solutions
IoT
connectivity
machine
learning
algorithms
with
a
better
possibility
predictive
analytics
automation
management
quality.
The
chapter
is
focused
on
key
technologies,
applications,
challenges,
giving
insight
into
future
regarding
this
very
connected
world,
particularly
about
industries.
Язык: Английский