An interdisciplinary literature review of floating solar power plants
Renewable and Sustainable Energy Reviews,
Journal Year:
2024,
Volume and Issue:
209, P. 115094 - 115094
Published: Nov. 15, 2024
Language: Английский
Machine Learning-Based Framework to Predict the Combined Effects of Climate Change and Floating Photovoltaic Systems Installation on Water Quality of Open-Water Lakes
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(4), P. 1696 - 1696
Published: Feb. 18, 2025
Floating
photovoltaic
(FPV)
systems
represent
a
promising
advancement
in
renewable
energy
technology;
however,
comprehensive
understanding
of
their
environmental
impacts
is
essential.
The
effects
FPV
installation
on
lake
water
temperature
remain
unclear,
potentially
hindering
the
development
technology
due
to
associated
negative
implications
for
aquatic
ecosystems.
Furthermore,
rise
with
climate
change
poses
additional
threats
open-water
bodies.
In
this
context,
current
study
endeavors
develop
machine
learning
(ML)-based
framework
assess
combined
impact
and
quality
lakes.
This
involves
creation
three
predictive
models
forecasting
model
utilizing
various
ML
algorithms,
concentrating
predictions.
was
applied
case
assessing
installing
distinct
Oostvoornse
Lake
Netherlands,
employing
data
available
literature.
findings
indicate
temporal
increase
both
air
temperatures
at
site,
underscoring
ramifications
change.
Additionally,
results
suggest
that
installations
can
influence
thermal
dynamics,
leading
variations
dissolved
oxygen
concentration,
which
presents
opportunities
challenges
addressing
proposed
will
be
an
effective
tool
evaluating
throughout
operational
lifespan
while
significant
issues.
Language: Английский
The microclimatic and ecohydrological effects of photovoltaic facilities in arid/semi-arid regions of China: An integrated modeling study
Jingbo Sun,
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Wenrui Cui,
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Wenhui Wang
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et al.
Journal of Environmental Management,
Journal Year:
2025,
Volume and Issue:
382, P. 125395 - 125395
Published: April 20, 2025
Language: Английский
High-Resolution Remotely Sensed Evidence Shows Solar Thermal Power Plant Increases Grassland Growth on the Tibetan Plateau
Naijing Liu,
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Huaiwu Peng,
No information about this author
Zhenshi Zhang
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et al.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(22), P. 4266 - 4266
Published: Nov. 15, 2024
Solar
energy
plays
a
crucial
role
in
mitigating
greenhouse
gas
emissions
the
context
of
global
climate
change.
However,
its
deployment
for
green
electricity
generation
can
significantly
influence
regional
and
vegetation
dynamics.
While
prior
studies
have
examined
impacts
solar
power
plants
on
vegetation,
accuracy
these
assessments
has
often
been
constrained
by
availability
publicly
accessible
multispectral,
high-resolution
remotely
sensed
imagery.
Given
abundant
resources
ecological
significance
Tibetan
Plateau,
thorough
evaluation
effects
associated
with
installations
is
warranted.
In
this
study,
we
utilize
sub-meter
resolution
imagery
from
GF-2
satellite
to
reconstruct
fractional
cover
(FVC)
at
Gonghe
thermal
plant
through
image
classification,
situ
sampling,
sliding
window
techniques.
We
then
quantify
plant’s
impact
FVC
comparing
data
pre-installation
post-installation
periods.
Our
findings
indicate
that
0.02
increase
compared
surrounding
control
region
(p
<
0.05),
representing
12.5%
relative
period.
Notably,
enhancement
more
pronounced
outer
ring
areas
than
near
central
tower.
The
observed
growth
suggests
potential
carbon
storage
benefits
resulting
establishment
Plateau.
These
underscore
necessity
evaluating
renewable
facilities
during
planning
design
phases
ensure
harmonious
balance
between
clean
development
local
integrity.
Language: Английский