Energy Storage,
Journal Year:
2024,
Volume and Issue:
6(8)
Published: Dec. 1, 2024
ABSTRACT
Thermal
energy
storage
(TES)
systems
are
becoming
increasingly
crucial
as
viable
alternatives
for
effective
utilization
from
various
sources,
such
solar
power
plants
and
waste
heat
different
industrial
sectors.
The
present
work
focuses
on
latent
TES
system
optimization
thermal
plant
applications.
This
study
aims
to
assess
the
impact
of
processing
factors
efficiency
systems.
Parametric
analysis
determines
a
system's
charging
discharging
durations
that
use
material.
conditions
were
selected
input
parameters,
transfer
fluid
inlet
temperature,
flow
rate,
number
phase
change
material
(PCM)
capsules.
Experiments
planned
L
9
orthogonal
array
Taguchi
method,
response
measures,
time
(CT)
(DT),
monitored.
A
signal‐to‐noise
ratio
was
used
evaluate
significance
parameters
measures.
Response
surface
methodology
(RSM)
postulates
mathematical
relationships
between
process
responses.
Finally,
multi‐objective
Jaya
algorithm
(MOJOA)
optimize
parametric
combination
minimize
CT
maximize
DT
simultaneously.
temperature
65°C,
rate
2
L/min,
40
PCM
capsules
determined
optimal
by
MOJOA
predicting
combined
DT.
verification
test
results
substantiate
enhanced
responses
system,
specifically
in
Utilizing
integrated
RSM‐MOJOA
is
advantageous
examining,
modeling,
PCM‐based
Energies,
Journal Year:
2024,
Volume and Issue:
17(10), P. 2275 - 2275
Published: May 9, 2024
The
air-cooled
system
is
one
of
the
most
widely
used
battery
thermal
management
systems
(BTMSs)
for
safety
electric
vehicles.
In
this
study,
an
efficient
design
BTMSs
proposed
improving
cooling
performance
and
reducing
pressure
drop.
Combining
with
a
numerical
calculation
method,
strategy
varied
step
length
adjustments
(∆d)
developed
to
optimize
spacing
distribution
among
cells
temperature
uniformity
improvement.
optimization
results
indicate
that
reduces
time
by
about
50%
compared
using
identical
∆d
values
while
maintaining
good
optimized
system.
Furthermore,
system’s
drop
does
not
increase
after
optimization.
Based
on
characteristic,
structural
improve
reduce
simultaneously.
First,
appropriate
flow
pattern
arranged
secondary
outlet
added
show
BTMS
U-type
combined
against
original
can
effectively
Subsequently,
further
improved
cell
fixed.
It
found
final
achieves
difference
below
1
K
different
inlet
airflow
rates,
being
reduced
at
least
45%
before
