Environmental Data Science,
Год журнала:
2024,
Номер
3
Опубликована: Янв. 1, 2024
Abstract
The
growing
demand
for
global
wind
power
production,
driven
by
the
critical
need
sustainable
energy
sources,
requires
reliable
estimation
of
speed
vertical
profiles
accurate
prediction
and
comprehensive
turbine
performance
assessment.
Traditional
methods
relying
on
empirical
equations
or
similarity
theory
face
challenges
due
to
their
restricted
applicability
beyond
surface
layer.
Although
recent
studies
have
utilized
various
machine
learning
techniques
vertically
extrapolate
speeds,
they
often
focus
single
levels
lack
a
holistic
approach
predicting
entire
profiles.
As
an
alternative,
this
study
introduces
proof-of-concept
methodology
utilizing
TabNet,
attention-based
sequential
deep
model,
estimate
from
coarse-resolution
meteorological
features
extracted
reanalysis
dataset.
To
ensure
that
is
applicable
across
diverse
datasets,
Chebyshev
polynomial
approximation
employed
model
Trained
as
inputs
coefficients
targets,
TabNet
more-or-less
accurately
predicts
unseen
different
conditions,
such
high
shear,
low
shear/well-mixed,
low-level
jet,
wind.
Additionally,
quantifies
correlation
with
prevailing
atmospheric
conditions
through
systematic
feature
importance
Sustainability,
Год журнала:
2024,
Номер
16(8), С. 3339 - 3339
Опубликована: Апрель 16, 2024
Many
countries
around
the
world
are
rapidly
advancing
sustainable
development
(SD)
through
exploitation
of
clean
energy
sources
such
as
solar
and
wind
energy,
which
becoming
core
transition.
In
recent
years,
continuous
advancement
Earth
system
models
(ESMs)
has
facilitated
numerous
studies
utilizing
them
to
predict
long-term
large-scale
meteorological
elements,
consequently
enabling
forecasts
energy.
These
provide
critical
guidance
for
formulating
national
renewable
policies.
Nevertheless,
current
literature
on
ESMs
predicting
lacks
sufficient
integration.
Hence,
comprehend
focal
points
future
research
prospects,
we
conducted
this
systematic
review,
employing
four
academic
search
tools
comprehensively
analyze
relevant
from
past
five
years.
We
summarized
general
analytical
process
compared
content
conclusions
literature.
The
study
reveals
that
photovoltaic
(PV)
potential
electricity
generation
may
increase
in
certain
regions
but
decrease
others,
while
global
concentrated
power
(CSP)
diminish,
influenced
by
diverse
factors
displaying
significant
regional
disparities.
addition,
resource
trends
vary
different
regions,
exhibit
considerable
uncertainty.
Therefore,
many
have
corrected
speeds
prior
Subsequent
endeavors
should
concentrate
optimizing
ESMs,
investigating
impacts
technological
innovation,
enhancing
prediction
analysis
extreme
weather
events.
Offshore
wind
energy
is
a
key
measure
for
system
decarbonization.
resource
maps
under
climate
change
can
provide
crucial
information
future
offshore
farm
development.
By
integrating
numerical
weather
prediction
model
simulations,
global
and
long-term
observations,
this
study
spatiotemporally
assesses
the
resources
in
Guangdong–Hong
Kong–Macau
Greater
Bay
Area
change.
The
spatial
distributions
of
speed,
power
density,
capacity
factor
at
heights
80,
100,
150,
200
m
are
evaluated
1-km
resolution,
impacts
on
these
parameters
80
years
(2021–2100)
emission
scenarios
investigated.
It
found
that
speed
may
slightly
(generally
up
to
±2%
±4%,
respectively)
most
parts
domain
climate.
Furthermore,
validation
against
observations
suggests
generated
satisfactorily
reproduce
regime,
with
percent
biases
less
than
5%
10%
density.
research
outcomes
expected
facilitate
site
selection
economic
analysis
projects
region.
Environmental Science & Technology,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 29, 2024
With
the
rapid
decline
in
levelized
cost,
offshore
wind
power
offers
a
new
option
for
clean
energy
transition
of
sector
China's
coastal
areas.
Here,
we
develop
system
capacity
expansion
and
operation
optimization
model
to
simulate
penetration
China
quantify
associated
health
effects.
We
find
that
has
great
potential
mitigating
negative
impacts
existing
coal-fired
emissions.
By
deploying
cost-competitive
power,
it
is
projected
by
2050,
would
contribute
2%
5%
(306–654
TWh)
total
electricity
generation,
cumulatively
reducing
pollutants
from
3%
preventing
165,000
premature
deaths.
Notably,
with
implementation
incentive
policies,
scale
deployment
expands
two
three
times,
yielding
public
benefits
far
outweigh
costs
policy
implementation.
Optimum Ekonomi ve Yönetim Bilimleri Dergisi,
Год журнала:
2024,
Номер
11(2), С. 366 - 393
Опубликована: Июль 1, 2024
1980’li
yılların
sonlarından
itibaren
en
önemli
küresel
sorunlardan
birisi
iklim
değişikliği
olmuştur.
İklim
değişikliğinin
neden
olduğu
zorlukların
üstesinden
gelebilmek
için
değişikliğine
uyum
stratejilerinin
su-enerji-gıda-çevre
bağlantısına
entegre
edilmesi
büyük
önem
taşımaktadır.
Özellikle
Paris
Anlaşması'ndan
(2015)
sonra
riskleri
konusunda
farkındalık
artmış
ve
giderek
artan
sayıda
ülke
karbon
veya
nötr
olma
hedefleri
yayınlamıştır.
Bu
bağlamda
bu
çalışmada,
MEREC-MOORA
modeliyle
Avrupa
Birliği
ülkelerini
performanslarına
göre
değerlendirmek
amaçlanmıştır.
Çevre
Ajansı
tarafından
yayımlanan
beş
kriter,
MEREC
yöntemiyle
ağırlıklandırılmış
AB
ülkeleri
MOORA
tekniği
ile
sıralanmıştır.
sonuçlarına
kriter
“kuraklığın
ekosistemler
üzerindeki
etkisi”dir.
yöntemi
göre,
performansı
yüksek
olan
Güney
Kıbrıs’tır.
Ayrıca
çalışmada
önerilen
modelin
sonuçlarının
tutarlılığı
iki
aşamalı
duyarlılık
analiziyle
test
edilmiştir.
