Energies,
Год журнала:
2024,
Номер
17(14), С. 3535 - 3535
Опубликована: Июль 18, 2024
Campus
buildings
often
face
issues
with
high
energy
consumption,
low
efficiency,
and
significant
carbon
emissions,
making
the
creation
of
a
green,
low-carbon
campus
urgent.
Utilizing
solar
photovoltaics
on
rooftops
can
provide
an
effective
power
solution
to
address
consumption.
This
study
focuses
university
campus,
employing
DeST
consumption
simulation
software
model
HVAC
systems,
electrical
devices,
hot
water
loads
five
typical
buildings.
It
combines
this
calculations
available
rooftop
areas
assess
potential
for
photovoltaics.
The
results
confirm
varying
annual
electricity
among
different
buildings,
which
directly
correlates
building
size
operational
schedules.
Among
types,
sports
facilities
academic
have
relatively
photovoltaic
self-sufficiency
rates,
exceeding
60%,
while
library
has
lowest,
under
20%.
entire
rate
35%,
significantly
addressing
issue
in
campuses.
research
provides
theoretical
basis
implementing
systems
achieve
savings.
Energy 360.,
Год журнала:
2024,
Номер
1, С. 100006 - 100006
Опубликована: Авг. 5, 2024
As
urban
solar
photovoltaic
(PV)
construction
emerges
as
a
leading
renewable
energy
technology,
there
is
growing
focus
on
its
implementation.
However,
the
challenges
of
scarce,
low-resolution,
and
inaccurate
PV-related
data
sources
hinder
accurate
assessments
PV
potentials
are
not
conducive
to
efficient
rational
smart
city
planning.
This
study
tackles
these
by
introducing
mature,
detailed,
assessment
process,
taking
Stonehaven
an
example,
aimed
at
leveraging
limited
mine
more
geographic
information
useful
for
guiding
Initially,
utilise
existing
Digital
Surface
Model
(DSM)
optical
image
data,
combined
with
deep
learning
techniques
potential
model,
comprehensively
assess
power
generation
area.
Our
results
demonstrate
that
integrating
DSM
significantly
enhances
accuracy
roof
segmentation.
Furthermore,
compared
DeeplabV3,
U-Net
performs
better
in
Additionally,
radiation
(SRP)
map
generated
highlights
superior
receiving
capacity
south-facing
flat
roofs.
We
provide
detailed
(PPGP)
individual
building
roofs,
revealing
substantial
this
area
generating
up
1.12
×
10^7
kWh
electricity
per
year.
Detailed
fine-grained
PPGP
can
also
help
optimise
siting
resource
allocation.
our
return-on-investment
period
(ROIP)
analysis
indicates
most
roofs
have
ROIPs
between
8.1
11.3
years.
The
ROIP
distribution
people
make
informed
investment
decisions.
Future
research
directions
include
enhancing
quality,
refining
segmentation
algorithms,
exploring
assisted
planning
smarter
Solar Energy,
Год журнала:
2024,
Номер
275, С. 112632 - 112632
Опубликована: Май 31, 2024
The
spatial
quantification
of
solar
resources
is
necessary
for
the
deployment
systems
and
must
consider
local
specificities
territories,
such
as
complex
topography
in
mountainous
areas.
This
paper
presents
a
methodology
obtaining
cadastres,
based
on
Solar
Energy
Building
Envelopes
(SEBE)
model
incorporated
QGIS
applied
to
French
municipalities.
differences
potential
between
plain
mountain
villages
are
analyzed
through
simulation
92
carefully
selected
located
these
two
types
regions.
distributions
annual
rooftop
irradiation
per
building
obtained
each
studied
village
approximated
with
Johnson's
SU
density
function.
From
this
arises
definition
statistical
indicators:
mode
spread
at
one-third
maximum.
Main
results
include
mean
decrease
189
kWh/m2
higher
dispersion
69
villages.
Two
physical
indicators,
Sky
View
Index
(SVI)
Diffuse
Fraction
(DFI),
defined
explain
shape
distributions.
Higher
cloud
covers
(high
DFI)
presence
distant
shading
effects
(low
SVI),
caused
by
terrain
relief,
explains
respectively
smaller
modes
observed
SVI,
DFI
latitude
fed
multiple
linear
regression
model,
allowing
estimation
computational
costs
than
developed
methodology.
Overall,
analysis
demonstrates
that
characteristics
environments
greatly
influence
should
be
considered
energy
planning.
