Trends in Renewable Energy,
Journal Year:
2023,
Volume and Issue:
9(1)
Published: Jan. 1, 2023
This
research
examined
the
observed
datasets
and
a
theoretically
derived
model
for
estimating
yearly
optimum
tilt
angle
(β),
maximum
incident
solar
radiation
(Hmax),
clean
gain
indicator
(CGI),
soiling
loss
(SLI)
at
Mumbwa,
Zambia,
Mediterranean
Region,
low
latitude
locations
across
globe.
The
cleaned
tilted
collector
emerged
as
best
performing
due
to
Hmax
much
higher
energy
gains
compared
with
soiled
collector.
CGI
showed
an
appreciable
performance
of
0.4737%
over
-0.4708%
on
SLI,
indicating
that
surface
photovoltaic
(PV)
modules
significantly
depreciates
overall
PV
modules.
Two
established
empirical
models
obtained
from
literature
were
theoretical
(β=φ).
result
revealed
two
overestimated
annual
in
this
paper,
simply
because
developed
high
location
Asia
continent.
However,
newly
monthly
global
(GRI)
by
authors
their
previous
paper
performed
excellently
selected
representative
cities
region.
Energies,
Journal Year:
2022,
Volume and Issue:
15(9), P. 3320 - 3320
Published: May 2, 2022
Solar
power
has
rapidly
become
an
increasingly
important
energy
source
in
many
countries
over
recent
years;
however,
the
intermittent
nature
of
photovoltaic
(PV)
generation
a
significant
impact
on
existing
systems.
To
reduce
this
uncertainty
and
maintain
system
security,
precise
solar
forecasting
methods
are
required.
This
study
summarizes
compares
various
PV
approaches,
including
time-series
statistical
methods,
physical
ensemble
machine
deep
learning
last
which
there
is
particular
focus.
In
addition,
optimization
algorithms
for
model
parameters
summarized,
crucial
factors
that
influence
forecasts
investigated,
input
selection
models
discussed.
Probabilistic
expected
to
play
key
role
required
meet
challenges
faced
by
modern
grid
systems,
so
provides
comparative
analysis
deterministic
probabilistic
models.
Additionally,
importance
data
processing
techniques
enhance
performance
highlighted.
comparison
with
extant
literature,
paper
addresses
more
issues
concerning
application
forecasting.
Based
survey
results,
complete
comprehensive
process
must
include
feature
extraction
capabilities,
powerful
structure
training,
method
evaluate
its
predictions.
Theoretical and Applied Climatology,
Journal Year:
2022,
Volume and Issue:
150(1-2), P. 715 - 729
Published: Aug. 30, 2022
Abstract
The
global
agenda
to
increase
the
renewable
energy
share
has
driven
many
countries
and
entities
harness
solar
from
photovoltaic
(PV)
systems.
However,
power
generation
of
PV
systems
is
strongly
affected
by
climate
conditions.
Therefore,
main
objective
this
study
analyze
predict
different
technologies
under
arid
desert
conditions
on
an
hourly
basis.
Two
areas
have
been
considered
as
case
studies:
Adrar
in
Algeria
Alice
Springs
Australia.
A
total
nine
physical
models
input
parameter
combinations
six
plants
used
tested
for
suitability
proposed
predicting
yield
depending
irradiance
other
meteorological
variables.
Then,
ensemble
learning
technique
applied
improve
performance
capabilities
best-fit
combinations.
results
reveal
that
irradiance,
ambient
air
temperature,
relative
humidity
combination
are
most
related
output
all
all-sky
provide
effective
efficient
with
learning,
estimated
accuracy
over
99%.
Micro & Nano Letters,
Journal Year:
2022,
Volume and Issue:
17(14), P. 402 - 416
Published: Oct. 12, 2022
Abstract
The
necessity
to
achieve
global
sustainability
and
renewable
energy
resources
overcome
the
threat
of
climate
change
has
led
unparalleled
social
economic
alterations
ubiquitous
throughout
world.
environment
surrounding
pollution
correlated
with
warming
is
essential
technological
advances
for
developing
resources.
Renewable
sustainable
are
eco‐friendly
sources
that
transform
heat
directly
into
electrical
energy.
transformation
system
underway
in
various
countries
can
play
a
predominant
role
power
sectors.
It
helps
establishing
low‐power
solution
high
performance
advance.
This
review
paper
highlights
feasibility
within
activity
resource
would
represent
world's
most
advanced
technology
cost‐effective
transition
pathway.
present
status,
prospects,
updated
information
about
these
have
been
discussed
detail.
provides
recommendation
on
which
be
suitable
generation
establish
green
next
survive
Cleaner Engineering and Technology,
Journal Year:
2023,
Volume and Issue:
13, P. 100630 - 100630
Published: April 1, 2023
In
this
study,
six
different
PV
power
technology
models
from
similar
climatic
environments
in
West
Africa
were
used
to
estimate
the
potential
of
generation
and
apply
model
evaluate
effects
climate
change
on
output
region.
This
was
achieved
by
using
historical
projected
satellite
datasets
obtained
ECMWF
database.
It
found
that,
compared
other
technologies,
poly-crystalline
silicon
(p-Si)
yielded
highest
increase
solar
modules
both
best-case
moderate-case
scenarios.
However,
worst-case
scenario,
amorphous
(a-Si)
produces
less
than
a
1%
production,
while
technologies
produce
decrease
output.
The
CMIP6
also
assess
region's
global
radiation.
With
exception
near-
far-future
Boreal
winter
seasons
(DJF),
as
impact
intensifies,
there
may
be
corresponding
radiation
moderate-
scenarios
between
2015-2050
2051–2100,
well
annual
resolution
implying
that
energy
should
main
contributor
renewable
low-carbon
economic
planning
addition,
authors
develop
test
171
theoretical
Africa's
potential.
According
error
metrics,
CARIMA-LG
hybrid
surpassed
developed
study
those
literature.
