A Review of thermoplastic composites on wind turbine blades
Composites Part B Engineering,
Год журнала:
2025,
Номер
unknown, С. 112411 - 112411
Опубликована: Март 1, 2025
Язык: Английский
Wake field prediction of a wind farm based on a physics-informed neural network with different spatiotemporal prediction performance improvement strategies
Theoretical and Applied Mechanics Letters,
Год журнала:
2025,
Номер
unknown, С. 100577 - 100577
Опубликована: Фев. 1, 2025
Язык: Английский
Effect of an abrupt rough-to-smooth surface roughness transition occurring upstream or within a wind farm studied using large eddy simulation and analytical modeling
Physics of Fluids,
Год журнала:
2025,
Номер
37(2)
Опубликована: Фев. 1, 2025
The
effect
of
a
rough-to-smooth
(R-S)
surface
roughness
transition
occurring
within
or
upstream
wind
farm
is
studied
using
large-eddy
simulation
(LES).
R-S
alters
the
velocity
deficit,
turbulence
intensity
(TI),
turbine
wake
recovery,
and
power
generation.
growth
rate
correlates
well
with
added
TI
rather
than
TI.
distance
between
first-row
shown
to
be
key
parameter.
For
parameters
considered,
starting
6
diameters
(d)
4d
downstream
has
15%−19%
lesser
losses
compared
sited
on
homogeneously
rough
far
transition.
Similar
observations
hold
for
farms
increased
row
spacing
thrust
coefficient.
are
only
weakly
sensitive
hub
heights.
Decreasing
upstream/downstream
roughnesses
keeping
their
ratio
fixed
leads
smaller
difference
homogeneously/heterogeneously
surfaces.
Predicting
analytical
models
field
not
trivial.
Different
single-turbine
model
sampling
location
choices
evaluated.
Incorporating
blockage
effects
at
essential
predict
accurately,
9%
LES
results,
most
cases
here.
Язык: Английский
Experimental implementation of design of an asynchronous machine-based wind emulator using backstepping control
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 17, 2025
The
development
of
renewable
energies,
particularly
wind
power,
requires
high-performance
system
modeling
and
optimization
tools.
Wind
turbine
emulators
can
reproduce
the
behavior
real
turbines,
facilitating
validation
control
strategies
in
a
secure,
flexible
environment.
must
ensure
accurate
tracking
profiles,
robustness
to
disturbances,
optimized
execution
real-time,
despite
computational
hardware
constraints.
In
addition,
their
extension
hybrid
systems
smart
grids
imposes
requirements
terms
integration
advanced
energy
management,
making
design
implementation
complex.
This
paper
presents
an
experimental
examination
into
revolutionary
technique
simulation.
It
details
design,
analysis,
construction
that
stimulate
both
turbine's
dynamic
static
characteristics.
physical
configuration
this
simulator
faithfully
mimics
operation
genuine
turbine.
To
achieve
cost-effective
efficient
emulation,
asynchronous
machine
(ASM)
was
chosen
over
direct
current
(DC)
since
it
is
substantially
less
expensive,
better
choice
for
emulation.
A
backstepping
approach
applied
stabilize
ASM's
by
regulating
its
flux
controlling
rotational
speed,
resulting
smooth
reliable
performance.
primary
objective
develop
progressive
legislation
guarantees
overall
stability
system.
proposed
method
first
validated
using
MATLAB/Simulink
simulations.
simulation
findings
were
then
Hardware-in-the-Loop
(HIL)
test
on
dSPACE
1104
platform.
results
demonstrate
efficacy
evaluating
performance,
confirming
potential
applications.
Язык: Английский
Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control
Energy,
Год журнала:
2025,
Номер
unknown, С. 136266 - 136266
Опубликована: Апрель 1, 2025
Язык: Английский
The future of offshore wind power production: Wake and climate impacts
Applied Energy,
Год журнала:
2024,
Номер
380, С. 124956 - 124956
Опубликована: Ноя. 30, 2024
Язык: Английский
Utilizing WFSim to Investigate the Impact of Optimal Wind Farm Layout and Inter-Field Wake on Average Power
Journal of Marine Science and Engineering,
Год журнала:
2024,
Номер
12(8), С. 1353 - 1353
Опубликована: Авг. 8, 2024
This
paper
presents
a
comprehensive
study
on
optimizing
wind
farm
efficiency
by
controlling
wake
effects
using
the
WFSim
dynamic
simulation
model.
Focusing
five
key
factors—yaw
turbine
position,
yaw
angle,
spacing,
longitudinal
and
rate—we
qualitatively
analyze
their
individual
combined
impact
farm’s
behavior
mechanical
load.
Through
quantitative
approach
orthogonal
test
method,
we
assess
each
factor’s
influence
overall
power
output.
The
findings
prioritize
following
factors
in
terms
of
effect
output:
rate.
Most
significantly,
this
identifies
optimal
working
conditions
for
maximizing
average
These
include
spacing
7.0D,
15.0D,
angle
30°,
rate
0.0122
rad/s,
with
first
second
rows
turbines
state.
Under
these
optimized
conditions,
output
is
enhanced
to
35.19
MW,
marking
an
increase
2.86
MW
compared
original
configuration.
Additionally,
offers
analysis
deflection
under
providing
valuable
insights
design
management
more
efficient
farms.
Язык: Английский
New genetic gray wolf optimizer with a random selective mutation for wind farm layout optimization
Heliyon,
Год журнала:
2024,
Номер
10(23), С. e40135 - e40135
Опубликована: Ноя. 8, 2024
The
wake
effect
is
a
relevant
factor
in
determining
the
optimal
distribution
of
wind
turbines
within
boundaries
farm.
This
reduces
incident
speed
on
downstream
turbines,
which
results
decrease
energy
production
for
paper
proposes
novel
approach
optimizing
using
new
Genetic
Gray
Wolf
Optimizer
(GGWO).
GGWO
employs
teamwork
model
inspired
by
wolf
prey
hunting,
guided
four
leaders:
Alpha,
Beta,
Delta,
and
Omicron
wolves,
each
with
different
hierarchical
weights.
To
improve
competitiveness
utilizes
genetic
algorithm
operators
such
as
crossover
blending,
normal
mutation,
operator
called
Random
Selective
Mutation
(RSM),
improves
solution
search
efficiency.
proposed
compared
to
other
algorithms
(GWO),
Particle
Swarm
Optimization
(PSO),
Artificial
Bee
Colony
(ABC),
Ant
(ACO).
studies
examine
varying
speeds
magnitude
direction
throughout
year,
well
farm
boundaries.
outcomes
show
that
successfully
identifies
ideal
locations
scoring
better
scores
terms
total
simulation
duration
annual
generation
It
surpasses
performance
GWO,
ABC,
PSO
exhibits
comparable
more
intricate
like
ACO.
Язык: Английский
Effects of coupled platform motions on the aerodynamic performance and wake characteristics of a floating horizontal-axis wind turbine
International Journal of Green Energy,
Год журнала:
2024,
Номер
21(16), С. 3838 - 3856
Опубликована: Сен. 19, 2024
Язык: Английский
A radius and minimum velocity Jensen model for far wake distribution prediction of tidal stream turbine
Physics of Fluids,
Год журнала:
2024,
Номер
36(11)
Опубликована: Ноя. 1, 2024
The
rational
layout
of
tidal
stream
turbines
(TSTs)
is
beneficial
for
making
full
use
energy.
It
essential
to
consider
the
wake
radius
and
velocity
distribution
determining
spacing
between
TSTs.
primarily
affected
by
turbulence
intensity.
attenuation
results
in
non-linear
expansion
wake.
Additionally,
high
near
region
inhibits
deficit,
which
more
evident
under
ambient
Therefore,
a
minimum
Jensen
(RMV-Jensen)
model
proposed
predict
downstream
TST.
RMV-Jensen
consists
block
(R-Block)
(MV-Block).
R-Block
piecewise
exponential
function
based
on
region,
accurately
describing
change
coefficient.
MV-Block
model,
inhibitory
effect
deficit
considered
first
time.
applied
Zhoushan
sea
area.
prediction
accuracy
improved
10%–20%
compared
that
classical
according
experimental
results.
Язык: Английский