Green hydrogen production in offshore environments: A comprehensive review, current challenges, economics and future-prospects
International Journal of Hydrogen Energy,
Год журнала:
2025,
Номер
125, С. 277 - 309
Опубликована: Апрель 10, 2025
Язык: Английский
Challenges and potential solutions for the global optimization of "Offshore Wind Energy — Multi-Marine Resources" integration system in the Beibu Gulf of Guangxi
Deleted Journal,
Год журнала:
2025,
Номер
2(1), С. 100073 - 100073
Опубликована: Янв. 1, 2025
<p>The
development
of
a
national
energy
base
and
modern
system
in
the
Beibu
Gulf
Guangxi
requires
an
innovative
system.
General
only
consists
single
marine
resource,
this
work
introduces
"Offshore
Wind
Energy—Multi-Marine
Resources"
integration
system,
which
distinctively
centers
on
offshore
wind
power
while
incorporating
seawater
hydrogen
production,
pumped
storage,
desalination,
aquaculture,
other
resource
utilization
complexes.
Its
potential
challenges
during
its
future
construction
solutions
for
global
optimization
that
need
to
be
addressed
are
as
follows:
1)
creating
high-precision
speed
prediction
model
across
multiple
scales;
2)
developing
under
uncertainties;
3)
proposing
resilience
assessment
method
systems
subjected
unconventional
external
shocks.
This
can
contribute
comprehensive
resources
establishment
Province
around
world.</p>
Язык: Английский
Application of Intelligent Algorithms for Optimal Allocation of Accounting Education Resources in Higher Education Environments
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
Inadequate
allocation
of
accounting
education
resources
and
uneven
spatial
distribution
are
the
key
issues
affecting
high-quality
development
education,
arrival
era
intelligent
technology
provides
ideas
for
rational
higher
transformation
upgrading.
This
paper
constructs
a
multi-objective
planning
model
resource
explores
solution
method
based
on
fuzzy
particle
swarm
algorithm.
Population
initialization
is
achieved
by
combining
input-output
fuzzification
processing
optimization
search
in
control.
Subsequently,
fitness
every
assessed.
Next,
according
to
formula
PSO
algorithm
update
iteration,
position
speed
updated,
optimal
itself
population
continuously
iterated.
After
put
into
use
institutions
western
region
with
low
lower
levels
efficiency
decreased
7%,
all
regions
have
decreased.
The
number
configuration
rounds
this
paper’s
smaller
than
conflicts
PCA
SVM
method,
which
indicates
that
has
good
performance
optimizes
resources,
making
develop
balanced
way.
Язык: Английский