International Journal of Energy Research,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Photovoltaic
(PV)
systems
suffer
from
significant
efficiency
losses
due
to
temperature
rise
during
operation,
while
existing
cooling
solutions
often
require
excessive
pumping
power
(PP)
that
reduces
the
net
system
output.
Traditional
optimization
approaches
have
typically
focused
on
either
thermal
or
PP
independently,
creating
a
critical
gap
in
achieving
optimal
overall
performance.
This
study
presents
an
innovative
framework
uniquely
combines
Taguchi
method
with
multigenetic
algorithm
simultaneously
maximize
and
minimize
PV–thermal
(PVT)
collectors
using
nanofluids—a
combination
not
previously
explored
literature.
In
this
research,
standard
flat
plate
collector,
including
copper
circular
tubes,
is
attached
backside
of
PV
panel.
The
present
focuses
developing
three‐dimensional
(3‐D)
solar
PVT
collector
oxide
(CuO)
nanofluid.
Influential
parameters
such
as
fluid
flow
rate,
inlet
temperature,
nanofluid
volume
fraction,
number
tube
diameter
were
investigated.
effects
studied
experimental
design
method.
Optimal
results
based
show
model
leads
increase
about
80%
86%
reduction
compared
initial
state.
Moreover,
most
effect
related
volumetric
rate
diameter.
Compared
state,
result
single
objective
indicated
pressure
drop
increases
by
98%
140%,
respectively.
