Energies,
Journal Year:
2024,
Volume and Issue:
17(13), P. 3292 - 3292
Published: July 4, 2024
This
study
presents
a
virtual
energy
storage
system
(VESS)
scheduling
method
that
strategically
integrates
fixed
and
dynamic
(ES)
solutions
to
optimize
management
in
commercial
buildings.
Fixed
ES,
such
as
batteries,
provides
stable
flexibility
but
is
expensive
can
be
inefficiently
operated.
In
contrast,
ES
utilized
needed
requires
validation
of
their
flexibility.
By
combining
with
utilizing
vehicle-to-grid
(V2G)
capabilities,
this
approach
enhances
grid
stability
manages
costs
more
effectively.
Empirical
using
real-world
data
from
Korea
demonstrates
significant
improvements
total
net
benefits
by
reducing
costs,
which
are
crucial
for
the
economic
sustainability
use.
Additionally,
analysis
Pearson’s
linear
correlation
coefficient
demand
identifies
where
occur
process.
The
integrated
reduces
need
costly
upgrades
utility
grid,
suggesting
strategic
advantage
large-scale
adoption.
establishes
framework
broader
implementation
systems,
highlighting
potential
substantial
efficiency,
reduced
carbon
emissions,
enhanced
reliability.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
23, P. 102622 - 102622
Published: July 26, 2024
PV
systems
are
prone
to
external
environmental
conditions
that
affect
system
operations.
Visual
inspection
of
the
impacts
faults
on
is
considered
a
better
practice
rather
than
onsite
fault
detection
mechanisms.
Faults
such
as
hotspot,
dark
area,
cracks,
glass
break,
wavy
lines,
snail
tracks,
corrosion,
discoloration,
junction
box
failure
and
delamination
have
different
visual
symptoms.
EL
technology,
infrared
thermography,
photoluminescence
approaches
used
extract
visualize
impact
modules.
DL
based
algorithms
as,
CNN,
ANN,
RNN,
AE,
DBN,
TL
hybrid
shown
promising
results
in
domain
detection.
This
article
critically
overviews
working
mechanism
terms
their
limitations,
complexity,
interpretability,
training
dataset
requirements
capability
work
with
another
algorithms.
research
also
reviews,
analyzes,
systematically
presents
clustering
mechanism,
distance
metrics,
convergence
criteria.
Additionally,
performance
evaluated
DI,
CHI,
DBI,
S-score,
homogeneity.
Moreover,
this
explicitly
identifies
explains
limitations
contributions
recent
older
techniques
employed
for
features
extraction,
data
preprocessing,
decision
making
by
performing
SWOT
analysis.
recommends
future
directions
industry
academia.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 4, 2025
Increasing
greenhouse
gas
(GHG)
emissions
and
environmental
issues
have
heightened
the
demand
for
renewable
energy
sources
(RES)
prompted
a
swift
transition
to
electric
vehicles
(EVs)
in
transportation
sector.
This
shift
underscores
need
address
challenges
of
electricity
supply
continuity
vehicle
charging
stations
(EVCS).
study
aims
determine
most
suitable
hybrid
systems
ensure
EVCSs
Çukurova
region
Adana,
Turkey.
Six
different
scenarios
involving
components
such
as
photovoltaic
(PV)
panel,
wind
turbine
(WT),
biomass
generators
(BG),
electrolyzer
(Elz),
hydrogen
tank
(HT),
fuel
cell
(FC),
batteries
(Bat),
inverter
(Inv),
grid
were
analyzed
using
HOMER
Pro
microgrid
analysis
tool
version
3.14.2
software.
The
optimization
results
indicated
that
feasible
system
was
Scenario
4,
comprising
PV,
BG,
Elz,
HT,
FC,
Inv,
components.
scenario's
total
net
present
cost
(NPC)
$611,283.50,
with
levelized
(LCOE)
$0.0215.
annual
production
consumption
1,507,169
kWh
1,420,714
kWh,
respectively.
fact
generated
from
exceeds
sourced
reduces
payback
period
system.
These
findings
highlight
economic
sustainable
potential
enhancing
performance
EVCS
solar-rich
regions.
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.
Journal of Renewable and Sustainable Energy,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: Jan. 1, 2025
The
application
of
vehicle-to-building
(V2B)
technology
to
integrate
photovoltaic
charging
stations
(PVCS)
with
smart
building
microgrids
has
gradually
emerged
as
a
new
low-carbon
operation
model
in
the
electric
vehicle
(EV)
energy
supply
industry.
disordered
integration
large
number
EVs
into
power
grid
caused
numerous
safety
issues
for
microgrids.
Considering
that
buildings
suitable
construction
PVCS
are
primarily
concentrated
residential,
office,
and
commercial
areas,
this
study
proposes
an
optimized
scheduling
strategy
discharging
vehicles
considers
different
types
buildings.
First,
PV-building-EV
integrated
system
based
on
V2B
is
established.
Probability
distribution
models
EV
travel
characteristics
regions
obtained
through
actual
data
fitting,
unordered
load
curves
each
region
derived
by
incorporating
Monte
Carlo
sampling
method.
On
basis,
considering
interest
microgrids,
operators,
users,
multi-objective
optimization
orderly
Finally,
improved
Non-dominated
Sorting
Genetic
Algorithm
II
validates
model's
effectiveness.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 17, 2025
Effective
energy
management
is
crucial
in
greenhouse
farming
to
ensure
efficient
operations
and
optimal
crop
growth.
This
study
investigates
the
autonomy-defined
as
ratio
of
on-site
generation
total
demand-of
greenhouses
equipped
with
semi-transparent
photovoltaic
(STPV)
systems
under
two
scenarios:
without
a
Battery
Energy
Storage
System
(BESS).
STPV
are
beneficial
because
they
generate
while
still
allowing
enough
light
pass
through
for
healthy
plant
development.
Seasonal
variations
autonomy
during
summer
winter
were
analyzed.
Results
show
that
incorporating
BESS
significantly
reduces
reliance
on
grid
electricity,
improving
from
43.43%
24.17%
81.36%
69.45%
winter.
The
system's
performance
was
highly
sensitive
transmittance
rate
panels
minimum
Daily
Light
Integral
(DLI)
required
crops.
These
findings
highlight
potential
enhance
independence
promote
sustainable
agricultural
practices.
provides
insights
into
optimizing
renewable
greenhouses,
emphasizing
practical
implications
scalability
economic
feasibility.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 5, 2025
Abstract
The
photovoltaic
(PV)/diesel
hybrid
system
(PV/D-HS)
combines
solar
PV
panels
with
a
diesel
generator
(DG)
to
meet
energy
demands,
especially
in
industrial
operations.
This
study
introduces
an
improved
management
strategy
designed
optimize
the
performance
of
PV/D-HS
by
reducing
consumption,
increasing
utilization,
and
minimizing
environmental
impact.
dynamically
manages
power
distribution
between
DG,
adapting
changing
conditions
demands.
Doing
so
reduces
system’s
reliance
on
diesel,
improves
operational
efficiency,
supports
integration
cleaner
sources.
Simulation
results
show
significant
improvements
over
traditional
approaches:
carbon
emissions
decreased
from
62
kg/day
standalone
38
kg/day,
representing
38%
reduction.
fraction
(SEF)
increases
12
35%,
23%
improvement
utilization.
These
demonstrate
potential
proposed
enhance
sustainability
lowering
greenhouse
gas
emissions,
dependence
fossil
fuels,
advancing
global
efforts
combat
climate
change.
In
addition
benefits,
approach
costs
reliability,
making
it
practical
solution
for
needs.
