Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 22, 2023
Abstract
The
current
work
looks
at
a
horizontally
oriented
double-pipe
thermal
energy
storage
system
with
PCM
filled
in
the
annular
gap
and
heat
transfer
fluid
(Water,
MXene,
Al
2
O
3
nanofluid)
flowing
an
inner
tube
from
physical
standpoint.
discharging
properties
of
latent
heat-based
various
intake
temperatures
(290K,
298K,
303K)
have
been
analyzed
while
maintaining
constant
mass
flow
rate
fluid.With
varying
input
temperatures,
numerical
investigation
influence
solidification
on
liquid
fraction
temperature
for
capric
acid
PCM-based
has
made.
Based
data,
TES
1%
v/v.
MXene
nanofluid
290K
inlet
solidify
faster
than
water
nanofluid.
In
system,
was
solidified
by
water,
as
HTF
30–120
minutes,
50–200
90–380
respectively,
290K,
303K.
At
temperature,
90%
303.37K,
42.37%
309.57K,
68.35%
306.27K.
during
90
42.37%,
after
30
60
minutes
290K.
Thus,
nanofluids
fluids
double
are
more
feasible
valuable
traditional
energy-efficient
sustainable
storage.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Aug. 31, 2024
Abstract
Suspensions
containing
microencapsulated
phase
change
materials
(MPCMs)
play
a
crucial
role
in
thermal
energy
storage
(TES)
systems
and
have
applications
building
materials,
textiles,
cooling
systems.
This
study
focuses
on
accurately
predicting
the
dynamic
viscosity,
critical
thermophysical
property,
of
suspensions
MPCMs
MXene
particles
using
Gaussian
process
regression
(GPR).
Twelve
hyperparameters
(HPs)
GPR
are
analyzed
separately
classified
into
three
groups
based
their
importance.
Three
metaheuristic
algorithms,
namely
genetic
algorithm
(GA),
particle
swarm
optimization
(PSO),
marine
predators
(MPA),
employed
to
optimize
HPs.
Optimizing
four
most
significant
(covariance
function,
basis
standardization,
sigma)
within
first
group
any
algorithms
resulted
excellent
outcomes.
All
achieved
reasonable
R-value
(0.9983),
demonstrating
effectiveness
this
context.
The
second
explored
impact
including
additional,
moderate-significant
HPs,
such
as
fit
method,
predict
method
optimizer.
While
resulting
models
showed
some
improvement
over
group,
PSO-based
model
exhibited
noteworthy
enhancement,
achieving
higher
(0.99834).
Finally,
third
was
examine
potential
interactions
between
all
twelve
comprehensive
approach,
employing
GA,
yielded
an
optimized
with
highest
level
target
compliance,
reflected
by
impressive
0.999224.
developed
cost-effective
efficient
solution
reduce
laboratory
costs
for
various
systems,
from
TES
management.
