Unveiling lifecycle carbon emissions and its mitigation potentials of distributed photovoltaic power through two typical case systems
Leilei Dong,
No information about this author
Yu Gu,
No information about this author
Kaihan Cai
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et al.
Solar Energy,
Journal Year:
2024,
Volume and Issue:
269, P. 112360 - 112360
Published: Jan. 28, 2024
Language: Английский
Evaluation of the energy-economic-environment potential of urban-scale photovoltaic bus parking lots: The case of Tianjin, China
Xiaoying Ding,
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Zhongwang Zhang,
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Wen Zhang
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et al.
Journal of Cleaner Production,
Journal Year:
2023,
Volume and Issue:
425, P. 138983 - 138983
Published: Sept. 22, 2023
Language: Английский
Booming solar energy drives land value enhancement: Evidence from 648 photovoltaic projects in China
Shijia Chong,
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Jialin You,
No information about this author
Jing Wu
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et al.
Journal of Cleaner Production,
Journal Year:
2024,
Volume and Issue:
unknown, P. 144270 - 144270
Published: Nov. 1, 2024
Language: Английский
Research on Photovoltaic Development in Northwestern China using Remote Sensing Images
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences,
Journal Year:
2024,
Volume and Issue:
XLVIII-1-2024, P. 909 - 915
Published: May 11, 2024
Abstract.
Photovoltaics,
a
clean
energy
source,
have
received
widespread
attention
worldwide
recently.
Many
countries
are
carrying
out
photovoltaic
construction,
while
also
compiling
and
analyzing
their
development
status.
The
same
goes
for
China.
In
northwestern
China,
considerable
number
of
cities
lack
electricity.
Meanwhile,
its
vast
plains
abundant
sunlight
conducive
to
the
construction
photovoltaics.
Therefore,
China
has
vigorously
carried
nowadays.
With
support
high-resolution
multi-temporal
remote
sensing
images,
we
able
analyze
status
photovoltaics
in
these
regions.
We
chose
six
provinces
as
our
research
areas
took
three
steps
complete
studies.
Firstly,
extracted
patterns
using
deep
learning
methods.
Secondly,
based
on
national
land
use
survey
data,
calculated
distribution
each
province.
Thirdly,
present
statistical
results
figures
charts,
showing
trend.
finally
made
conclusions
discussions
about
insufficiency
work
future
plans
further
study.
Language: Английский