Energy Exploration & Exploitation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 16, 2025
The
application
of
multi-generation
systems
has
seen
significant
growth
in
recent
years.
This
research
explores
an
innovative
Rankine
organic
cycle
that
generates
electricity,
hydrogen,
and
potable
water
by
integrating
geothermal
heat
recovery
as
energy
sources.
cycle's
efficiency
is
assessed
two
configurations:
utilizing
not
it.
Calculations
show
the
highest
exergy
destruction,
at
32.5%,
linked
to
proton
electrolyzer
membrane
(PEM).
Additionally,
lowest
exergoeconomic
factor,
7.9,
found
for
PEM.
1.81
L/s
hydrogen
4.52
kg/s
desalinated
water.
Increasing
temperature
source
from
125
°C
161
leads
a
30.2%
increase
production
18.1%
production.
If
used
all
comes
recovery,
carbon
dioxide
emissions
will
71%.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(3), P. 1311 - 1311
Published: Feb. 6, 2025
The
global
transition
to
renewable
energy
sources
(RESs)
is
accelerating
combat
the
rapid
depletion
of
fossil
fuels
and
mitigate
their
devastating
environmental
impact.
However,
increasing
integration
large-scale
intermittent
RESs,
such
as
solar
photovoltaics
(PVs)
wind
power
systems,
introduces
significant
technical
challenges
related
supply
stability,
reliability,
quality.
This
paper
provides
a
comprehensive
review
these
challenges,
with
focus
on
critical
role
storage
systems
(ESSs)
in
overcoming
them
by
evaluating
technical,
economic,
performance.
Various
types
including
mechanical,
electrochemical,
electrical,
thermal,
chemical
are
analyzed
identify
distinct
strengths
limitations.
study
further
examines
current
state
potential
applications
ESSs,
identifying
strategies
enhance
grid
flexibility
increased
adoption
RESs.
findings
reveal
that
while
each
ESS
type
has
specific
advantages,
no
single
technology
can
tackle
all
challenges.
Consequently,
hybrid
(HESSs),
which
combine
multiple
technologies,
emphasized
for
ability
improve
efficiency
adaptability,
making
especially
suitable
modern
grids.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 18, 2025
The
global
shift
towards
decentralized
energy
systems,
driven
by
the
integration
of
distributed
generation
technologies
and
renewable
sources,
underscores
critical
need
for
effective
management
strategies
in
microgrids.
This
study
proposes
a
novel
multi-objective
optimization
framework
grid-connected
microgrids
using
quantum
particle
swarm
(QPSO)
to
address
dual
challenges
minimizing
operational
costs
reducing
environmental
emissions.
microgrid
configuration
analyzed
includes
sources
like
photovoltaic
panels
wind
turbines,
along
with
conventional
battery
storage.
By
incorporating
quantum-inspired
mechanics,
QPSO
overcomes
limitations
such
as
premature
convergence
solution
stagnation,
often
seen
traditional
methods.
Simulation
results
demonstrate
that
achieves
9.67%
reduction
costs,
equating
savings
€158.87,
13.23%
carbon
emissions,
lowering
emissions
513.70
kg
CO2
equivalent
economic
scheduling
scenario.
In
environmentally
constrained
scenario,
method
delivers
balanced
€174.11
401.63
CO2.
algorithm's
performance
is
validated
across
various
configurations,
including
standard
low-voltage
setups.
These
highlight
QPSO's
potential
an
efficient
tool
optimizing
management,
promoting
both
sustainability.
provides
robust
achieving
practical
solutions
real-world
applications,
emphasizing
role
advanced
techniques
sustainable
systems.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(7), P. 3758 - 3758
Published: March 29, 2025
Wind
energy
represents
a
solution
for
reducing
environmental
impact.
For
this
reason,
research
studies
the
elements
that
propose
optimizing
wind
production
through
intelligent
solutions.
Although
there
are
address
optimization
of
turbine
performance
or
other
indirectly
related
factors
in
production,
remains
topic
insufficiently
explored
and
synthesized
literature.
This
how
machine
learning
(ML)
techniques
can
be
applied
to
optimize
production.
aims
study
systematic
applications
ML
identify
analyze
key
stages
optimized
Through
research,
case
highlighted
by
which
methods
proposed
directly
target
issue
power
process
turbines.
From
total
1049
articles
obtained
from
Web
Science
database,
most
studied
models
context
artificial
neural
networks,
with
478
papers
identified.
Additionally,
literature
identifies
224
have
random
forest
114
incorporated
gradient
boosting
about
power.
Among
these,
60
specifically
addressed
aspect
allows
identification
gaps
The
notes
previous
focused
on
forecasting,
fault
detection,
efficiency.
existing
addresses
indirect
component
performance.
Thus,
paper
current
discusses
algorithms
processes,
future
directions
increasing
efficiency
turbines
integrated
predictive
methods.
Energies,
Journal Year:
2025,
Volume and Issue:
18(3), P. 508 - 508
Published: Jan. 23, 2025
Recovered
ammonia,
extracted
from
waste
streams
such
as
industrial
leachates
and
organic
waste,
represents
a
unique
opportunity
to
harness
sustainable,
carbon-free
energy
resource.
This
paper
focuses
on
the
potential
of
ammonia
recovered
emphasizing
its
role
critical
element
in
transition
low-carbon
economy.
Integrating
into
systems
enables
industries
reduce
dependence
conventional
production,
lower
greenhouse
gas
emissions,
advance
circular
economy
practices.
The
study
reviews
advanced
technologies
for
recovering
well
application
combustion
processes
fuel
cells.
Particular
emphasis
is
placed
optimizing
minimize
nitrogen
oxide
(NOx)
emissions
utilizing
direct
cells
hydrogen
generation
Challenges
associated
with
scaling
recovery
integrating
existing
infrastructures
are
critically
examined.
By
providing
an
in-depth
assessment
environmental
economic
benefits
using
source,
this
highlights
decarbonize
sectors
transportation,
industry,
power
generation.
