Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Фев. 3, 2023
Abstract
The
simultaneous
rise
in
energy
demand
brought
on
by
urbanization,
industrialization,
population
growth,
and
the
significant
increase
greenhouse
gas
emissions
from
conventional
sources
pushes
market
to
divert
towards
sustainable
energy.
Among
renewables,
Solar
photovoltaic
(PV)
technology
has
been
identified
as
an
abundant,
clean,
environmentally
friendly,
noiseless,
economically
source
fulfill
future
demand.
However,
output
power
of
a
solar
PV
panel
is
unpredictable
due
temperature
(T)
irradiance
(G)
fluctuations,
well
relatively
low
efficiency
cells
(15
25%)
limits
its
applications
grid-connected
mode.
To
work
for
at
maximum
power,
this
paper
presents
deep
learning
associated
with
Long
Short
Term
Memory
(LSTM)
network-based
Maximum
Power
Point
Tracking
(MPPT)
controller
100
kW
array.
performance
proposed
LSTM-based
MPPT
contrasted
that
Feed
Forward
Neural
Network
(FFNN)
traditional
Perturb
Optimization
(P&O)
using
Simulink
MATLAB
environment.
Over
one
million
datasets,
LSTM
FFNN
are
trained
two
inputs
(T,
G)
single
(Vmp).
Mean
Square
Error
(MSE),
Root
(RMSE),
Average
(MAE),
Prediction
error
between
actual
extracted
respective
used
indices
comparison
FFNN.
models
exported
Simulink,
where
accomplished
among
LSTM,
FFNN,
P&O
controllers.
more
kilo
watt
(99.14)
than
(96.75)
(95.11)
comprised
least
RMSE
value
(0.20)
(2.62),
(4.22)
respectively.
Hence,
proceeded
establish
control
active
array
grid,
Direct
Current
(DC)
bus
voltage
control,
grid-tied
inverter
Energies,
Год журнала:
2022,
Номер
15(20), С. 7495 - 7495
Опубликована: Окт. 12, 2022
Modern
healthcare
is
transforming
from
hospital-centric
to
individual-centric
systems.
Emerging
implantable
and
wearable
medical
(IWM)
devices
are
integral
parts
of
enabling
affordable
accessible
healthcare.
Early
disease
diagnosis
preventive
measures
possible
by
continuously
monitoring
clinically
significant
physiological
parameters.
However,
most
IWM
battery-operated,
requiring
replacement,
which
interrupts
the
proper
functioning
these
devices.
For
continuous
operation
for
an
extended
period
time,
supplying
uninterrupted
energy
crucial.
A
sustainable
health-compatible
supply
will
ensure
high-performance
real-time
prolong
their
lifetime.
Therefore,
harvesting
human
body
ambient
environment
necessary
enduring
precision
maximizing
user
comfort.
Energy
harvesters
convert
various
sources
into
equivalent
electrical
form.
This
paper
presents
a
state-of-the-art
comprehensive
review
techniques
focusing
on
applications.
Various
approaches,
working
principles,
current
state
discussed.
In
addition,
advantages
limitations
different
methods
analyzed
existing
challenges
prospects
improvement
outlined.
help
with
understanding
technologies
development
high-efficiency,
reliable,
robust,
battery-free
portable
Energy Reports,
Год журнала:
2023,
Номер
9, С. 3604 - 3623
Опубликована: Фев. 27, 2023
The
hybrid
photovoltaic-thermoelectric
generation
system
(PVTEG)
gives
two-fold
benefits;
firstly,
it
efficiently
utilizes
the
available
solar
energy
as
converts
both
irradiance
and
thermal
into
electricity,
secondly,
enhances
PV
efficiency
by
reducing
module
surface
temperature.
However,
of
PVTEG
is
usually
low
because
TEG
are
not
highly
efficient
devices.
Under
changing
environmental
conditions,
a
well-designed
maximum
power
point
tracking
(MPPT)
controller
can
enhance
10%–15%.
Therefore,
this
research
explores
evolutionary
Neural
Network
based
MPPT
control
technique
for
systems.
snake
optimizer
optimally
tuned
weight
biases
Multilayer
perceptron
neural
network
(MLPNN),
which
provides
fast
real-time
global
maxima
(GM)
tracking.
Furthermore,
to
robustness
control,
PID
gains
using
SO
algorithm.
Use
(SOPID)
with
(SOANN)
results
in
stable,
accurate
under
varying
conditions.
effectiveness
proposed
SOANN
validated
comparing
PSOANN,
RSANN
GWOANN.
very
negligible
oscillations.
extract
optimal
an
average
99.928%
time
less
than
5ms.
intelligent
data
driven
fault
detection
algorithm
proposed,
do
require
any
temperature
or
sensors
cost
system.
Comparative,
simulation,
quantitative,
statistical
second
superior
performance
terms
efficiency,
time,
stability
capability
various
practical
condition.
Sensors,
Год журнала:
2024,
Номер
24(14), С. 4471 - 4471
Опубликована: Июль 10, 2024
Compact,
energy-efficient,
and
autonomous
wireless
sensor
nodes
offer
incredible
versatility
for
various
applications
across
different
environments.
Although
these
devices
transmit
receive
real-time
data,
efficient
energy
storage
(ES)
is
crucial
their
operation,
especially
in
remote
or
hard-to-reach
locations.
Rechargeable
batteries
are
commonly
used,
although
they
often
have
limited
capacity.
To
address
this,
ultra-low-power
design
techniques
(ULPDT)
can
be
implemented
to
reduce
consumption
prolong
battery
life.
The
Energy
Harvesting
Technique
(EHT)
enables
perpetual
operation
an
eco-friendly
manner,
but
may
not
fully
replace
due
its
intermittent
nature
power
generation.
ensure
uninterrupted
supply,
such
as
ES
management
unit
(PMU)
needed.
This
review
focuses
on
the
importance
of
minimizing
maximizing
efficiency
improve
autonomy
longevity
nodes.
It
examines
current
advancements,
challenges,
future
direction
ULPDT,
ES,
PMU,
communication
protocols,
EHT
develop
implement
robust
technology
solutions
practical
long-lasting
use
real-world
scenarios.
Journal of Intelligent & Fuzzy Systems,
Год журнала:
2022,
Номер
43(5), С. 5877 - 5896
Опубликована: Июль 5, 2022
In
the
context
of
this
paper
a
three
phase
grid
connected
Photo-Voltaic
(PV)
system
that
is
used
to
design
with
MPPT
and
developed
Grey
Wolf
optimization
(GWO)
algorithm
for
analyzing
power
quality
issues
in
system.
The
proposed
incorporated
prototype
model
compared
other
related
algorithms
namely
Particle
Swarm
Optimization
(PSO)
Genetic
Algorithm
(GA).
various
loading
conditions
as
well
solar
irradiances
are
modeled
by
using
MATLAB
simulation
experimentally
validated
DSPIC
(DS
1104)
based
model.
A
PV
non-linear
load
observed
different
operating
environmental
conditions.
control
was
implemented
Super-Lift
Inverter
(SLI)
findings
work
are,
reactive
demand
compensated
DSTATCOM,
also
from
real
renewable
energy
But,
majority
active
provided
or
absorbed
DSTATCOM
component.
objective
examined,
integrated
tied
maintains
compensation
at
Unity
Power
Factor
(UPF).
methods
produce
output
factor
values
such
0.89
(GWO),
0.88,
0.86
Advanced Materials Technologies,
Год журнала:
2023,
Номер
8(14)
Опубликована: Апрель 2, 2023
Abstract
Huge
heat
energy
is
ultimately
generated
in
the
color
converter
as
a
result
of
nonradiative
recombination
high‐power
laser
excitation.
Inspired
by
thermoelectric
conversion,
high‐performance
phosphor‐in‐glass
film
(PIGF)
coated
on
generator
(TEG)
for
recycling
high‐brightness
lighting
proposed.
The
heat‐resistance
PIGF
with
high
luminescence
tightly
hot‐side
ceramic
TEG,
while
yielding
bright
white
light
and
promoting
conduction
between
TEG.
At
thickness
60
µm,
PIGF‐TEG
enables
natural
luminous
flux
464
lm,
efficacy
194
lm
W
−1
,
correlated
temperature
(CCT)
6552
K,
an
appropriate
chromaticity
coordinate
(0.3117,
0.3302)
under
power
2.39
W.
Aside
from
output
1045
laser‐driven
produces
voltage
current
0.46
V
174
mA
5.61
W,
respectively.
Therefore,
proposed
provides
potential
strategy
phosphor‐converted
lighting.
