IET Generation Transmission & Distribution,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 30, 2024
Abstract
The
escalating
global
population
and
energy
demands
underscore
the
critical
role
of
renewable
sources,
particularly
solar
power,
in
mitigating
environmental
degradation
caused
by
traditional
fossil
fuels.
This
paper
emphasizes
advantages
energy,
especially
photovoltaic
(PV)
systems,
which
have
become
pivotal
hybrid
systems.
However,
accurate
modelling
identification
PV
cell
parameters
pose
challenges,
prompting
adoption
meta‐heuristic
optimization
algorithms.
work
explores
limitations
existing
algorithms
introduces
a
novel
approach,
bio‐dynamics
grasshopper
algorithm
(BDGOA).
BDGOA
addresses
deficiencies
both
exploration
exploitation
phases,
exhibiting
exceptional
convergence
speed
efficiency.
algorithm's
simplicity,
achieved
through
implementation
an
elimination
phase
controlled
search
space,
enhances
its
performance
without
intricate
calculations.
study
evaluates
applying
it
to
identify
unknown
five
modules.
effectiveness
is
demonstrated
extraction
for
RTC
France,
PWP201,
SM55,
KC200GT,
SW255
models,
validated
against
experimental
data
under
diverse
conditions.
concludes
with
insights
into
impact
radiation
temperature
on
module
parameters.
subsequent
sections
delve
intricacies
model,
articulate
formulation
proposed
algorithm,
present
simulations,
analyse
obtained
results.
emerges
as
promising
solution,
overcoming
contributing
significantly
advancement
efficient
parameter
identification,
thereby
propelling
progress
towards
sustainable
future.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: April 8, 2024
Abstract
This
paper
proposes
an
innovative
approach
to
improve
the
performance
of
grid-connected
photovoltaic
(PV)
systems
operating
in
environments
with
variable
atmospheric
conditions.
The
dynamic
nature
parameters
poses
challenges
for
traditional
control
methods,
leading
reduced
PV
system
efficiency
and
reliability.
To
address
this
issue,
we
introduce
a
novel
integration
fuzzy
logic
sliding
mode
methodologies.
Fuzzy
enables
effectively
handle
imprecise
uncertain
data,
allowing
decision-making
based
on
qualitative
inputs
expert
knowledge.
Sliding
control,
known
its
robustness
against
disturbances
uncertainties,
ensures
stability
responsiveness
under
varying
Through
these
methodologies,
our
proposed
offers
comprehensive
solution
complexities
posed
by
real-world
dynamics.
We
anticipate
applications
across
various
geographical
locations
climates.
By
harnessing
synergistic
benefits
promises
significantly
enhance
reliability
presence
On
grid
side,
both
PSO
(Particle
Swarm
Optimization)
GA
(Genetic
Algorithm)
algorithms
were
employed
tune
current
controller
PI
(Proportional-Integral)
(inverter
control).
Simulation
results,
conducted
using
MATLAB
Simulink,
demonstrate
effectiveness
hybrid
MPPT
technique
optimizing
system.
exhibits
superior
tracking
efficiency,
achieving
convergence
time
0.06
s
99.86%,
less
oscillation
than
classical
methods.
comparison
other
techniques
highlights
advantages
approach,
including
higher
faster
response
times.
simulation
outcomes
are
analyzed
strategies
sides
(the
array
side).
Both
offer
effective
methods
tuning
controller.
According
considered
IEEE
standards
low-voltage
networks,
total
harmonic
distortion
values
(THD)
obtained
considerably
high
(8.33%
10.63%,
algorithms,
respectively).
Comparative
analyses
terms
stability,
rapid
changes.
Current Opinion in Green and Sustainable Chemistry,
Journal Year:
2024,
Volume and Issue:
48, P. 100939 - 100939
Published: May 29, 2024
In
the
ongoing
effort
to
reduce
carbon
emissions
on
a
worldwide
scale,
green
hydrogen,
which
is
generated
through
environmentally
responsible
processes,
has
emerged
as
significant
driving
force.
As
demand
for
clean
energy
continues
rise,
it
becoming
increasingly
important
have
solid
understanding
of
technological
and
economic
elements
modern
techniques
producing
hydrogen.
context
hydrogen
generation
production's
techno-economic
features
necessary
transition
low-carbon
economy.
associated
with
breakthroughs
in
technology,
present
study
examines
most
fascinating
relevant
aspects
analysis.
Despite
challenges,
can
help
world
move
cleaner,
more
sustainable
future
analytical
frameworks
legislation.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 10, 2024
Abstract
Economic
development
relies
on
access
to
electrical
energy,
which
is
crucial
for
society’s
growth.
However,
power
shortages
are
challenging
due
non-renewable
energy
depletion,
unregulated
use,
and
a
lack
of
new
sources.
Ethiopia’s
Debre
Markos
distribution
network
experiences
over
800
h
outages
annually,
causing
financial
losses
resource
waste
diesel
generators
(DGs)
backup
use.
To
tackle
these
concerns,
the
present
study
suggests
hybrid
generation
system,
combines
solar
biogas
resources,
integrates
Superconducting
Magnetic
Energy
Storage
(SMES)
Pumped
Hydro
(PHES)
technologies
into
system.
The
also
thoroughly
analyzes
current
anticipated
demand
connected
using
backward/forward
sweep
load
flow
analysis
method.
results
indicate
that
total
loss
has
reached
its
absolute
maximum,
voltage
profiles
networks
have
dropped
below
minimal
numerical
values
recommended
by
Institute
Electrical
Electronics
Engineers
(IEEE)
standards
(i.e.,
0.95–1.025
p.u.).
After
reviewing
network’s
operation,
additional
steps
were
taken
improve
effectiveness,
metaheuristic
optimization
techniques
account
various
objective
functions
constraints.
In
section,
it
demonstrated
whale
algorithm
(WOA)
outperforms
other
across
three
important
functions:
financial,
reliability,
greenhouse
gas
(GHG)
emissions.
This
comparison
based
capability
natural
selection
(NSWOA)
achieve
best
possible
four
significant
metrics:
Cost
(COE),
Net
Present
(NPC),
Loss
Power
Supply
Probability
(LPSP),
GHG
Emissions.
NSWOA
achieved
optimal
metrics,
namely
0.0812
€/kWh,
3.0017
×
10
6
€,
0.00875,
7.3679
kg
reduced,
respectively.
attributable
their
thorough
economic,
environmental
evaluation.
Finally,
forward/backward
employed
during
proposed
system’s
integration
significantly
reduced
impact
resources
network.
was
evident
in
reduction
from
470.78
18.54
kW
deviation
6.95
0.35
p.u.,
as
well
profile
system
being
swung
between
1
1.0234
now
comply
with
set
IEEE.
Besides,
cost
emission
efficiency
existing
(grid
+
DGs)
alternative
(only
scenarios
done.
findings
showed
that,
among
examined,
most
economical
produces
least
amount
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 13, 2024
Abstract
This
paper
explores
scenarios
for
powering
rural
areas
in
Gaita
Selassie
with
renewable
energy
plants,
aiming
to
reduce
system
costs
by
optimizing
component
numbers
meet
demands.
Various
scenarios,
such
as
combining
solar
photovoltaic
(PV)
pumped
hydro-energy
storage
(PHES),
utilizing
wind
PHES,
and
integrating
a
hybrid
of
PV,
wind,
have
been
evaluated
based
on
diverse
criteria,
encompassing
financial
aspects
reliability.
To
achieve
the
results,
meta-heuristics
Multiobjective
Gray
wolf
optimization
algorithm
(MOGWO)
Grasshopper
(MOGOA)
were
applied
using
MATLAB
software.
Moreover,
optimal
sizing
has
investigated
real-time
assessment
data
meteorological
from
Sillasie,
Ethiopia.
Metaheuristic
techniques
employed
pinpoint
most
favorable
loss
power
supply
probability
(LPSP)
least
cost
(COE)
total
life
cycle
(TLCC)
system,
all
while
meeting
operational
requirements
various
scenarios.
The
Multi-Objective
Grey
Wolf
Optimization
technique
outperformed
Algorithm
problem,
suggested
results.
Furthermore,
MOGWO
findings,
PV-Wind-PHES
demonstrated
lowest
COE
(0.126€/kWh)
TLCC
(€6,897,300),
along
satisfaction
village's
demand
LPSP
value.
In
PV-Wind-PHSS
scenario,
are
38%,
18%,
2%,
1.5%
lower
than
those
Wind-PHS
PV-PHSS
at
0%,
according
Overall,
this
research
contributes
valuable
insights
into
design
implementation
sustainable
solutions
remote
communities,
paving
way
enhanced
access
environmental
sustainability.
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
108, P. 105457 - 105457
Published: April 19, 2024
An
integrated
energy
system
is
designed
to
achieve
various
products
such
as
hydrogen
production,
electricity,
heating,
and
cooling.
It
utilizes
subsystems;
solar
power
system,
biomass
steam
Rankine
cycle,
Brayton
absorption
reverse
osmosis,
sonohydrogen
production.
Energy,
exergy,
economic
environmental
analyses
are
carried
out
evaluate
the
system's
performance
sustainability.
The
engineering
equation
solver
used
for
analyses.
efficiencies
BC,
ORC,
SRC
recorded
29.69%,
10.49%,
30%,
respectively.
In
regard
exergy
efficiency,
stand
at
46.74%,
62.73%,
53.43%,
Furthermore,
DEAS
attains
energetic
exergetic
COPs
of
1.67
0.65,
Additionally,
overall
37.68%
71.25%,
results
from
thermal
storage
indicate
that
heat
production
begins
7:00
AM,
after
two
hours,
charging
commences,
continuing
until
17:00,
coinciding
with
availability
sunlight.
analysis
demonstrates
an
initial
investment
$53.80
million,
multigeneration
projects
a
net
present
value
ranging
$6.87
million
$173.4
across
different
selling
prices,
$7,000
$13,000
per
ton,
by
2054.
