Applied Sciences,
Год журнала:
2024,
Номер
14(1), С. 416 - 416
Опубликована: Янв. 2, 2024
Optimizing
the
heliostat
field
aiming
strategy
is
crucial
for
maximizing
thermal
power
production
in
solar
tower
(SPT)
plants
while
adhering
to
operational
constraints.
Although
existing
approaches
can
yield
highly
optimal
solutions,
their
considerable
computational
cost
makes
them
unsuitable
real-time
optimization
large-scale
scenes.
This
study
introduces
an
efficient,
intelligent,
method
based
on
a
meta-heuristic
algorithm
effectively
and
reliably
manage
SPT
plant
operations
under
varying
conditions,
such
as
cloud
shadowing
variations.
To
minimize
redundant
calculations,
problem
framed
way
that
captures
continuity
of
heliostat,
which
be
utilized
streamline
solution
process.
The
proposed
tested
simulation
environment
includes
field,
cylindrical
receiver,
movement
model.
results
demonstrate
presented
this
paper
offers
higher
intercept
efficiency,
improved
robustness,
reduced
time
more
complex
Ain Shams Engineering Journal,
Год журнала:
2022,
Номер
14(7), С. 101984 - 101984
Опубликована: Окт. 8, 2022
This
work
deploys
a
configured
hypothetical
6-kWp
capacity
PV
system,
with
mounted
rooftop
panels,
to
examine
the
performance
of
corresponding
different
(a)
cell
technologies;
(b)
ambient
temperatures.
The
first
(crystalline
silicon
(c-Si))
and
second
(copper
indium
gallium
selenide
(CIGS))
generations
cells
have
been
chosen
for
this
study.
A
range
temperatures,
−10
°C
50
°C,
at
an
interval
5
will
be
used
investigate
influence
temperature
on
system
performance,
using
cells.
design
simulation
software,
PVsyst,
was
deployed
based
optimisation
considerations.
It
observed
from
report
that:
CIGS
produced
highest
energy
standard
tests
conditions
(STC)
elevated
temperature;
Si
mono
polycrystalline
yielded
same
amount
energy;
monocrystalline
lowest
PR,
respectively.
