International Journal of Sustainable Engineering,
Journal Year:
2024,
Volume and Issue:
17(1), P. 1173 - 1185
Published: Dec. 7, 2024
In
the
context
of
sustainable
energy
use,
multiple
criteria
are
involved
in
decision
to
select
best
generation
projects,
as
well
its
installation
location.
However,
despite
widespread
use
decision-making
techniques,
there
is
a
noticeable
gap
due
lack
systematic
process
for
selecting
projects
transition.
This
paper
evaluates
alternatives
photovoltaic
panels
floating
systems
and
proposes
procedure
project
using
multiple-criteria
analysis.
The
Entropy
method
was
used
determine
weight
eight
criteria,
including
cost,
number
cells,
efficiency,
area,
panel
weight,
power
characteristics,
Technique
Order
Preference
by
Similarity
Ideal
Solution
(TOPSIS)
make
selection.
A
sensitivity
analysis
conducted
considering
different
weighing
methods.
Among
20
analysed,
proved
be
effective
determining
most
successful
one
systems.
chosen
maintained
performance
all
scenarios
tested.
provides
approach
suitable
systems,
contributing
researchers
refine
methodologies
practitioners
optimise
implementation
initiatives.
Energies,
Journal Year:
2025,
Volume and Issue:
18(2), P. 404 - 404
Published: Jan. 17, 2025
Green
hydrogen
(GH2)
is
emerging
as
a
key
driver
of
global
energy
transition,
offering
sustainable
pathway
to
decarbonize
systems
and
achieve
climate
objectives.
This
review
critically
examines
the
state
GH2
research
production
technologies
their
integration
into
renewable
systems,
supported
by
bibliometric
analysis
recent
literature.
Produced
via
electrolysis
powered
energy,
shows
significant
potential
industries,
enhance
grid
stability,
support
Power-to-X
paradigm,
which
interlinks
electricity,
heating,
transportation,
industrial
applications.
However,
widespread
adoption
faces
challenges,
including
high
costs,
infrastructure
constraints,
need
for
robust
regulatory
frameworks.
Addressing
these
barriers
requires
advancements
in
electrolyzer
efficiency,
scalable
fuel
cell
technologies,
efficient
storage
solutions.
Sector-coupled
smart
grids
incorporating
demonstrate
integrate
enhancing
utilization
ensuring
system
reliability.
Economic
analyses
predict
that
can
cost
parity
with
fossil
fuels
2030
will
play
foundational
role
low-carbon
2050.
Its
ability
convert
surplus
electricity
clean
carriers
positions
it
cornerstone
decarbonizing
energy-intensive
sectors,
such
industry,
heating.
underscores
transformative
creating
future.
By
addressing
technical,
economic,
policy
challenges
through
coordinated
efforts
innovation
development,
accelerate
transition
carbon-neutral
contribute
achieving
goals.
Energies,
Journal Year:
2025,
Volume and Issue:
18(1), P. 169 - 169
Published: Jan. 3, 2025
Offshore
wind
power
construction
has
seen
significant
development
due
to
the
high
density
of
offshore
energy
and
minimal
terrain
restrictions
for
farms.
However,
integrating
this
into
grid
remains
a
challenge.
The
scientific
community
is
increasingly
focusing
on
hydrogen
as
means
enhance
integration
these
fluctuating
renewable
sources.
This
paper
reviews
research
generation,
water
electrolysis
production,
large-scale
storage.
By
latest
advancements,
we
propose
system
that
couples
seawater
(SWE)
salt
cavern
coupling
aims
address
practical
issues
such
Regarding
application
potential
system,
details
advantages
developing
in
Jiangsu
using
system.
While
there
are
still
some
challenges
it
undeniably
offers
new
pathway
coastal
cities
advance
sets
direction
progress.
Energies,
Journal Year:
2024,
Volume and Issue:
17(15), P. 3677 - 3677
Published: July 25, 2024
This
research
investigates
the
potential
of
using
bedded
salt
formations
for
underground
hydrogen
storage.
We
present
a
novel
artificial
intelligence
framework
that
employs
spatial
data
analysis
and
multi-criteria
decision-making
to
pinpoint
most
appropriate
sites
storage
in
caverns.
methodology
incorporates
comprehensive
platform
enhanced
by
deep
learning
algorithm,
specifically
convolutional
neural
network
(CNN),
generate
suitability
maps
rock
deposits
The
efficacy
CNN
algorithm
was
assessed
metrics
such
as
Mean
Absolute
Error
(MAE),
Squared
(MSE),
Root
Square
(RMSE),
Correlation
Coefficient
(R2),
with
comparisons
made
real-world
dataset.
model
showed
outstanding
performance,
an
R2
0.96,
MSE
1.97,
MAE
1.003,
RMSE
1.4.
approach
leverages
advanced
techniques
offer
unique
assessing
viability
It
presents
significant
advancement
field,
offering
valuable
insights
wide
range
stakeholders
facilitating
identification
ideal
facilities,
thereby
supporting
informed
sustainable
energy
infrastructure
development.
