Case Studies in Thermal Engineering,
Journal Year:
2024,
Volume and Issue:
54, P. 103989 - 103989
Published: Jan. 12, 2024
In
photovoltaic
systems,
only
a
small
fraction
of
solar
radiation
effectively
reaches
the
module's
surface
and
is
converted
into
electrical
energy.
The
unused
results
in
elevated
cell
temperature
reduced
efficiency.
photovoltaic-thermal
system,
circulation
fluids
such
as
water
or
air
around
panels
allows
for
utilization
otherwise
wasted
thermal
energy,
leading
to
increased
efficiency
overall
system
objective
this
article
examine
copper
aluminum
oxides
systems
when
combined
with
nanofluid.
aim
identify
any
changes
that
may
arise
from
combination.
This
presents
novel
approach
by
employing
combination
oxide
nanofluids,
along
mixture,
investigate
influence
key
factors
on
electrical,
thermal,
systems.
These
encompass
incoming
levels
panel
surface,
fluid
inlet
mountainous
regions,
absorber
temperature.
study
aims
analyze
compare
particular
context.
present
study,
finite
volume
method
used
solve
equations.
According
research
findings,
raising
initial
proportional
increase
outlet
However,
it
important
note
remains
constant
regardless
Furthermore,
exhibits
superior
compared
oxide,
use
nanofluids
enhances
Results in Engineering,
Journal Year:
2023,
Volume and Issue:
20, P. 101438 - 101438
Published: Sept. 24, 2023
Despite
notable
advantages
and
power
conversion
efficiency
achieved
by
perovskite
solar
cells
(PSCs),
they
could
not
hit
the
market
commercially
as
are
bottlenecked
toxicity
issue
caused
metal
lead.
Lead
has
proven
issues
that
can
harm
human
beings
ecological
system
to
a
significant
extent.
And
so,
researchers
around
world
have
started
diving
deep
into
revolutionary
sustainable
photovoltaics
called
non-toxic
lead-free
PSCs
for
safe
environment.
This
is
substitution
of
lead
in
with
or
less
toxic
substitute
metals.
review
article
revolves
metals
such
tin
(Sn),
germanium
(Ge),
titanium
(Ti),
silver
(Ag),
bismuth
(Bi)
copper
(Cu)
their
properties,
sustainability
challenges.
also
discusses
ways
undertaken
overcome
stability
efficiency-related
challenges
encountered
commercialization
alteration
fabrication
methods
introduction
additives.
Finally,
recent
advancements/technologies
used
predicts
future
perspective/technologies
futuristic
applications
be
implemented
PSCs.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
21, P. 101815 - 101815
Published: Feb. 1, 2024
This
study
conducts
a
detailed
analysis
to
improve
enhance
the
energy
performance
of
residential
buildings
in
UAE
through
various
retrofit
measures.
The
applied
methodology
involved
developing
calibrated
building
model
for
two-story
building,
followed
by
parametric
six
design
variables,
including
wall
and
roof
insulation,
glazing,
infiltration
rate,
window
shading,
setpoint
setback
temperatures
evaluate
their
impact
on
annual
consumption.
Additionally,
sensitivity
was
conducted
assess
importance
investigated
variables
use.
An
optimization
approach
using
non-dominated
sorting
genetic
algorithm
(NSGA-II)
then
implemented
optimize
consumption
while
minimizing
discomfort
conditions.
key
findings
from
simulations
show
significant
savings:
38.8
%
reduction
improved
insulation
(achieving
U-value
0.14
W/m2K),
2.3
decrease
with
better
9.8
saving
triple
clear
glass
9.6
lowering
rate
2.5
m³/h.m2,
7.5
savings
25.7
optimizing
cooling
setpoints.
A
highlighted
dominant
usage.
Followed
temperature.
subsequent
NSGA-II
yielded
106
Pareto
optimal
solutions
1897
iterations,
offering
balance
between
reducing
(10,942
20,250
kWh/year,
averaging
60
savings)
hours
(296–1230
h).
These
results
provide
actionable
insights
stakeholders
retrofitting
process,
emphasizing
energy-saving
potential
specific
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
22, P. 102288 - 102288
Published: May 21, 2024
An
optimal
sizing
of
an
off-grid
microgrid
system
composed
photovoltaic
(PV)/building
integrated
(BIPV)/battery
energy
storage
installation
is
undergone
for
Net
Zero
Energy
Residential
Building
blocks
across
six
different
climates
Morocco
in
order
to
reach
the
objective
providing
all
load
requirements
at
minimum.
The
Particle
Swarm
Optimization
algorithm
used
find
system,
by
considering
hourly
spatiotemporal
variations
both
solar
availability
and
demand
variation,
with
lowest
Total
Annualized
Cost
as
function
capacities
BIPV
battery
decision
variables.
methodology
adopted
focuses
on
main
fulfillment
through
direct
PV
power
supply,
backed
technology,
continually
guarantee
self-sufficiency.
A
key
metric,
cover
factor,
introduced
quantify
ratio
which
satisfied
systems.
findings
show
that
can
help
improve
factor
0.68-2.58%.
Moreover,
integrating
Battery
leads
a
reduction
Levelized
approximately
8.7-20.72
%,
opposed
utilizing
only
battery.
Depending
local
climate,
levelized
cost
ranges
from
0.366
$/kWh
Ouarzazate
city
up
0.664
$/kWh.in
Ifrane
city.
Lastly,
this
holistic
approach
aims
transform
building
its
traditional
role
consumer
carbon-free
electricity
generator.
Results in Engineering,
Journal Year:
2023,
Volume and Issue:
19, P. 101296 - 101296
Published: July 17, 2023
There
has
been
a
significant
increase
in
the
attention
paid
to
resource
management
smart
grids,
and
several
energy
forecasting
models
have
published
literature.
It
is
well
known
that
plays
crucial
role
applications
including
demand-side
management,
optimum
dispatch,
load
shedding.
A
challenge
grid
managing
forecasts
efficiently
while
ensuring
slightest
feasible
prediction
error.
type
of
artificial
neural
networks
such
as
recurrent
networks,
are
frequently
used
forecast
time
series
data.
However,
due
certain
limitations
like
vanishing
gradients
lack
memory
retention
sequential
data
should
be
modeled
using
convolutional
networks.
The
reason
they
strong
capabilities
solve
complex
problems
better
than
In
this
research,
temporal
network
proposed
handle
seasonal
short-term
forecasting.
computes
outputs
parallel,
reducing
computation
compared
Further
performance
comparison
with
traditional
long
terms
MAD
sMAPE
proved
model
outperformed
network.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
21, P. 101747 - 101747
Published: Jan. 5, 2024
Integrating
uncertainties
associated
with
photovoltaic
(PV)
generation
is
an
important
aspect
used
to
ensure
the
planning
and
operation
of
power
distribution
systems.
Therefore,
this
research
proposed
uncertainty
model
for
PV
by
combining
methods
change
point
detection,
cyclic
k-means
clustering
(KMC),
Monte
Carlo
simulation
(MCS)
freedman
diaconis
estimator
(FDE),
KMC
soft-dynamic
time
warping
(DTW).
Firstly,
a
seasonal
split
was
performed
using
detection
techniques
identify
shifts
in
global
horizontal
irradiance
(GHI)
points.
Secondly,
GHI
generated
MCS
each
season
FDE
method
optimize
number
bins
data
distribution.
Finally,
curve
from
simplified
through
soft-DTW
metric,
which
facilitated
more
straightforward
representation
profile.
The
impact
profile
integration
on
quasi-dynamic
flow
tested
IEEE
33
Bus
system.
voltage
feeder
significantly
impacted
integration,
specifically
during
hours
when
high
produced.
For
instance,
at
11:00
a.m.,
values
buses
18,
17,
increased
0.933,
0.934,
0.935,
respectively,
0.982,
0.980,
0.972.
Similarly,
value
losses,
greater
produced
certain
hour,
smaller
losses
generated.
experimental
results
indicated
that
changes
electrical
parameters
over
according
input
