Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Янв. 25, 2024
Abstract
As
is
known,
having
a
reliable
analysis
of
energy
sources
an
important
task
toward
sustainable
development.
Solar
one
the
most
advantageous
types
renewable
energy.
Compared
to
fossil
fuels,
it
cleaner,
freely
available,
and
can
be
directly
exploited
for
electricity.
Therefore,
this
study
concerned
with
suggesting
novel
hybrid
models
improving
forecast
Irradiance
(I
S
).
First,
predictive
model,
namely
Feed-Forward
Artificial
Neural
Network
(FFANN)
forms
non-linear
contribution
between
I
dominant
meteorological
temporal
parameters
(including
humidity,
temperature,
pressure,
cloud
coverage,
speed
direction
wind,
month,
day,
hour).
Then,
framework
optimized
using
several
metaheuristic
algorithms
create
predicting
.
According
accuracy
assessments,
attained
satisfying
training
FFANN
by
80%
data.
Moreover,
applying
trained
remaining
20%
proved
their
high
proficiency
in
forecasting
unseen
environmental
circumstances.
A
comparison
among
optimizers
revealed
that
Equilibrium
Optimization
(EO)
could
achieve
higher
than
Wind-Driven
(WDO),
Optics
Inspired
(OIO),
Social
Spider
Algorithm
(SOSA).
In
another
phase
study,
Principal
Component
Analysis
(PCA)
applied
identify
contributive
factors.
The
PCA
results
used
optimize
problem
dimension,
as
well
suggest
effective
real-world
measures
solar
production.
Lastly,
EO-based
solution
yielded
form
explicit
formula
more
convenient
estimation
Alexandria Engineering Journal,
Год журнала:
2023,
Номер
80, С. 520 - 541
Опубликована: Сен. 6, 2023
The
exponential
increase
in
the
dependence
on
electrical
power
by
rapid
industrialization
and
increasing
population
has
given
rise
to
need
of
supplying
electric
efficiently
with
good
quality
(PQ).
evolution
renewable
energy
sources
their
increased
penetration
into
traditional
grid
systems
complexity
transmission
distribution.
significant
use
complex
converters,
Flexible
AC
Transmission
System
devices
nonlinear
loads
modern
have
amplified
issues
associated
production
distribution
electricity
having
proper
PQ.
functioning
system
network
requires
healthy
power,
maintained
both
at
load
source
end.
Dynamic
Voltage
Restorer
is
a
prospective
D-FACTS
(Distribution
System)
device
that
been
widely
incorporated
for
addressing
PQ
caused
irregularities
grid's
voltage,
current,
or
frequency.
This
research
article
attempts
enhance
indices
Photovoltaic,
Fuel
Cell,
DVR
storage
(battery)
based
Microgrid
through
proposed
Scaled
Conjugate
Artificial
Neural
Network
(SC-ANN)
Matlab/Simulink
architecture.
suggested
technique's
effectiveness
verified
introducing
severe
faults
such
as
sag
swell
numerous
responses
comprehensively
studied
comparing
them
Fuzzy
Logic
Controller
Proportional
Integral
controllers.
results
obtained
validates
efficiency
controller
over
FLC
PI
methods
maintaining
constant
during
onset
reducing
harmonics
oscillations
thereby
enhancing
overall
reliability,
stability
paving
its
way
real-time
implementation
areas
MG
system.
Applied Energy,
Год журнала:
2023,
Номер
348, С. 121429 - 121429
Опубликована: Июль 13, 2023
This
study
presents
a
novel
framework
for
improving
the
resilience
of
microgrids
based
on
power-to-hydrogen
concept
and
ability
to
operate
independently
(i.e.,
islanded
mode).
For
this
purpose,
model
is
being
developed
resilient
operation
in
which
compressed
hydrogen
produced
by
systems
can
either
be
used
generate
electricity
through
fuel
cells
or
sold
other
industries.
The
bi-objective
optimization
problem,
minimizes
cost
(i)
reducing
active
power
exchange
with
main
grid,
(ii)
ohmic
losses,
(iii)
increasing
amount
stored
tanks.
A
solution
approach
also
deal
complexity
model,
combining
goal
programming
Generalized
Benders
Decomposition,
due
mixed-integer
nonlinear
nature
problem.
results
indicate
that
approach,
although
cost,
does
not
lead
load
shedding
event
grid
failures.
concludes
integrating
distributed
significant
benefits,
including
emission
reductions
up
20
%
savings
30
%.
Additionally,
integration
decomposition
method
improves
computational
performance
54
compared
using
commercial
solvers
within
GAMS
software.
Heliyon,
Год журнала:
2024,
Номер
10(7), С. e29087 - e29087
Опубликована: Апрель 1, 2024
Effective
and
maximum
utilization
of
waste
heat
from
industrial
processes
fossil
plants
can
improve
thermodynamic
performance
declined
the
environmental
impacts
discharge
to
atmosphere.
Here,
multi-aspect
assessment
optimization
a
novel
cogeneration
power
cooling
load
cycle
(CPCC)
is
developed.
The
considered
process
designed
under
three-level
recovery
consisting
an
ORC
(organic
Rankine
cycle)
unit
ejection-based
refrigeration
process.
Thermodynamic
performance,
cost
feasibility
assessments
suggested
have
been
comprehensively
evaluated
discussed.
A
two-objective
developed
minimize
total
maximize
exergy
efficiency.
Moreover,
comprehensive
CPCC
behavior
compared
with
reference
system
(a
single-level
recovery/ORC
compression-based
process).
also
examined
various
environmentally
compatible
refrigerants.
analysis
based
on
two
indicators
(i.e.,
life
cycle-climate
equivalent-warming
impacts).
Due
multi-level
heat,
emitting
into
environment
are
significantly
reduced.
outcomes
revealed
that
R1234/yf
as
most
suitable
refrigerant
causes
optimum
achievements
for
both
systems.
exergetic
improved
by
about
10.3%
system,
while
destruction
annual
CPCC,
respectively,
reduced
approximately
7.4%
21.6%
cycle.
It
was
found
11,640
tons
carbon
dioxide
be
using
ejector
in
International Journal of Low-Carbon Technologies,
Год журнала:
2024,
Номер
19, С. 455 - 467
Опубликована: Янв. 1, 2024
Abstract
In
this
article,
a
novel
multi-generation
plant
is
addressed
and
assessed
from
the
energy,
exergy,
exergoenvironmental
exergoeconomic
points
of
view.
The
composed
two
main
units:
one
unit
for
energy
production
another
carbon
capture
methanol
synthesis.
Biomass
fuel,
solar
seawater
are
nutrients
in
plant.
Steam,
Brayton,
organic
Rankine
Kalina
cycles
have
been
employed
to
generate
electricity.
A
linear
Fresnel
collector-driven
farm
considered
as
an
auxiliary
heat
source.
addition,
integrated
desalination
based
on
multi-effect
unit,
microbial
fuel
cell
reverse
osmosis
has
installed
proposed
structure
offered
designed
under
new
configuration
layout
that
had
not
reported
publications.
From
outcomes,
can
produce
69.6
MW
net
electricity,
0.53
kg/s
methanol,
0.81
oxygen
gas,
73.8
fresh
water
~0.015
hydrogen
gas.
Under
such
performance,
be
51.72
27.5%
efficient
view
respectively.
Further,
total
cost
rate
environmental
impact
~3378
US$/h
294.1
mPts/s,
comparative
analysis
developed
exhibit
superiority
planned
five-objective
optimization
also
achieve
optimum
design
data
outcomes
