IOP Conference Series Earth and Environmental Science,
Год журнала:
2024,
Номер
1375(1), С. 012018 - 012018
Опубликована: Июль 1, 2024
Abstract
The
objective
of
this
study
is
to
contribute
the
research
and
development
vertical
axis
wind
turbines
(VAWTs).
This
will
be
achieved
through
a
comprehensive
analysis
modified
airfoils
featuring
inclined
cavities,
specifically
tailored
for
applications
in
systems
but
not
limited
this.
investigation
conducted
manuscript
utilizes
computational
fluid
dynamics
(CFD)
perform
numerical
assessment
different
airfoil
configurations
that
have
undergone
modifications
consisting
incorporation
tilted
cavities
along
distinct
lengths
their
upper
surfaces.
aim
ascertain
an
optimal
geometry
VAWT
applications,
with
focus
on
concurrently
achieving
high
lift
coefficient
while
minimizing
impact
drag
coefficient,
therefore
enhancing
overall
aerodynamic
performance
VAWTs.
employed
NACA0012,
serving
as
benchmark
comparison
subjected
involving
cavities.
results
reveal
that,
terms
traits,
one
altered
exhibits
superior
relative
NACA0012
airfoil.
Energies,
Год журнала:
2023,
Номер
16(20), С. 7034 - 7034
Опубликована: Окт. 10, 2023
In
2023,
the
UAE
adapted
its
National
Energy
Strategy
to
accommodate
several
new
goals,
including
doubling
renewable
energy
(RE)
capacity
14
GW
by
2030.
This
development
further
highlights
significance
of
transitioning
towards
RE
sources.
study
focuses
on
examining
and
assessing
utilization
technologies
in
Sharjah,
an
emirate
United
Arab
Emirates
(UAE).
It
offers
overview
Sharjah’s
current
scenario
investigates
factors
influencing
adoption
area.
Furthermore,
it
provides
evaluation
installations,
production
capacity,
future
prospects
for
Sharjah.
These
findings
contribute
a
deeper
comprehension
transition
potential
The
analysis
uncovers
growing
inclination
adopting
Solar
installations
are
experiencing
upswing,
driven
advancements
technology,
cost
reductions,
supportive
policies.
However,
wind
remain
limited
due
lower
region.
Sharjah
yields
advantages,
reduction
greenhouse
gas
emissions,
diversification
sources,
economic
expansion.
Nevertheless,
challenges
like
intermittency,
grid
integration,
initial
investment
costs
require
attention
expedite
adoption.
outlook
appears
promising.
Sustained
government
backing
ongoing
research
efforts,
addition
collaborations
between
public
private
sectors,
can
facilitate
wider
implementation
technologies.
Implementing
policies
that
encourage
uptake
RE,
such
as
feed-in
tariffs
net
metering,
should
be
considered.
Additionally,
partnerships
with
international
organizations
exchange
best
practices
enhance
knowledge
transfer
building.
Sustainability,
Год журнала:
2024,
Номер
16(6), С. 2302 - 2302
Опубликована: Март 11, 2024
This
study
examines
the
complex
interplay
between
food
security,
climate
change,
population,
water,
and
renewable
energy
desalination
in
five
Arab
countries:
Morocco,
Egypt,
Jordan,
Saudi
Arabia,
United
Emirates.
Using
a
comprehensive
econometric
approach:
an
Auto-Regressive
Distributed
Lag
approach
(ARDL)
Vector
Error
Correction
Model
(VECM)
technique
spanning
1990–2022,
to
explore
short-
long-run
dynamics
of
these
relationships
identify
causal
linkages.
The
ARDL
results
reveal
mixed
outcome.
While
capacity
holds
potential
for
enhancing
security
all
countries,
its
impact
depends
on
cost
government
support.
negatively
affects
most
cases,
highlighting
need
cost-effective
solutions.
Climate
change
poses
significant
threat,
particularly
but
it
may
also
offer
unexpected
opportunities
KSA
UAE.
Population
growth,
unsurprisingly,
strains
across
region.
Water
scarcity
emerges
as
major
challenge,
especially
Jordan.
Granger
causality
tests
uncover
bidirectional
desalination,
water
Morocco
suggesting
their
interconnected
influence.
In
imports
drive
system,
while
UAE
exhibit
with
acting
key
drivers.
Policymakers
facing
challenge
countries
should
take
note
this
research’s
multifaceted
findings.
promise,
success
hinges
reducing
costs
through
technological
advancements
support,
adaptation
strategies
must
be
prioritized,
recognizing
potentially
regions
like
Additionally,
addressing
innovative
resource
management
is
crucial,
Managing
population
growth
family
planning
initiatives
promoting
sustainable
agricultural
practices
are
vital
long-term
security.
Finally,
identified
underscore
integrated
policy
approaches
that
acknowledge
interconnectedness
factors.
By
tailoring
responses
specific
each
nation,
policymakers
can
ensure
effective
interventions
secure
future
Sustainability,
Год журнала:
2023,
Номер
15(10), С. 8118 - 8118
Опубликована: Май 16, 2023
Renewable
energy
communities
(RECs)
aim
at
achieving
economic,
environmental,
and
social
benefits
for
members
society.
This
paper
presents
a
roadmap
the
design,
operation,
monitoring
of
renewable
in
Italy,
fundamental
to
guide
orient
any
stakeholder
involved
decision-making
process
REC.
The
is
inspired
by
Deming
Cycle,
also
known
as
Plan-Do-Check-Act,
which
provides
framework
continuous
improvement
standardization
procedures.
To
demonstrate
practical
application
roadmap,
real
case
study
presented
Italian
communities,
making
full
adoption
data
derived
from
official
databases
using
urban
district
study.
findings
phase
I
“do”
stage
indicate
that
REC
could
lead
decrease
carbon
emissions
roughly
38%
support
51
67
families
through
REC’s
revenues,
depending
on
installed
PV
capacity.
Furthermore,
both
physical
self-consumption
virtual
schemes
assist
sustainable
transition
built
environment,
where
consumers
have
significant
impact
electrical
markets.
Therefore,
these
results
validate
roadmap’s
effectiveness
promoting
an
informed
design
implementation
RECs
while
guiding
energy,
social,
political
decisions.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 27, 2025
Abstract
Artificial
intelligence
allows
improvements
in
renewable
energy
systems
by
increasing
efficiency
while
enhancing
reliability
and
reducing
costs.
Renewable
forecasting
receives
substantial
improvement
applying
deep
learning
methods
as
one
of
its
promising
approaches.
The
research
utilizes
QTM
with
NiOA
optimization
for
achieving
maximum
performance.
functions
through
critical
processes
when
models
high
accuracy
large
complex
datasets
selecting
the
most
appropriate
features.
Fundamental
data
preparation
steps,
including
normalization
scaling,
gap
handling,
play
a
vital
role
before
using
input
reliable
operations.
Using
Ninja
binary
engine
produces
superior
results
than
all
tested
algorithms,
SBO,
bSCA,
bFA,
bGA,
bFEP,
bGSA,
bDE,
bTSH
bBA,
resulting
enhanced
classification
accuracy.
capability
bNinja
to
choose
optimal
features
establishes
usefulness
applications.
Experimental
implementation
revealed
that
incorporating
Optimization
Algorithm
model
delivered
best
R
2
performance
at
95.15%
an
exceptional
RMSE
value
0.00003,
thus
establishing
ability
optimize