Evaluating solar power plant sites using integrated GIS and MCDM methods: a case study in Kermanshah Province
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 26, 2025
This
study
utilizes
an
integrated
Geographic
Information
System
(GIS)-based
Multi-Criteria
Decision-Making
(MCDM)
approach
to
perform
Solar
Power
Plant
Site
Selection
(SPPSS)
in
Kermanshah
Province,
Iran.
It
introduces
a
novel
group
weighting
method,
the
Dempster-based
Best-Worst
Method
(DBWM),
which
combines
weights
vectors
derived
from
experts'
opinions.
The
also
conducts
comprehensive
sensitivity
analysis
comparing
four
GIS-based
models
for
SPPSS.
Findings
indicate
that
Inverse
Distance
Weighted
(IDW)
method
is
most
precise
interpolation,
was
subsequently
applied
analysis.
Results
demonstrate
DBWM-Technique
Order
Preference
by
Similarity
Ideal
Solution
(GIS-based
DBWM-TOPSIS)
model
stable,
identifying
slope
as
primary
criterion
Based
on
this
model,
3%
of
area
classified
very
low
suitability,
9%
low,
24%
moderate,
33%
high,
and
31%
high
suitability.
highlights
substantial
impact
selecting
appropriate
spatial
techniques
uses
normalization
standardize
input
criteria
with
varied
units
ranges,
enhancing
comparability
within
MCDM
process.
Eslamabad-e
Gharb,
Kangavar,
Gilan-e
Gharb
counties
emerged
suitable
locations
solar
power
plant
(SPP)
development.
Language: Английский
Prioritizing the European Investment Sectors Based on Different Economic, Social, and Governance Factors Using a Fuzzy-MEREC-AROMAN Decision-Making Model
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(17), P. 7790 - 7790
Published: Sept. 6, 2024
This
study
tackles
the
challenge
of
identifying
optimal
investment
sectors
amid
growing
importance
environmental,
social,
and
governance
(ESG)
factors,
which
are
often
complex
conflicting.
research
aims
to
effectively
evaluate
prioritize
ten
based
on
twelve
ESG
criteria
by
integrating
expert
evaluations
with
two
advanced
multi-criteria
decision-making
(MCDM)
methods.
Three
teams
assessed
each
sector’s
performance
these
using
fuzzy
logic
manage
uncertainties
in
judgments.
The
MEREC
(MEthod
Removal
Effects
Criteria)
identified
biodiversity
land
use
as
most
critical
factor,
while
transparency
disclosure
was
least
significant.
AROMAN
(Alternative
Ranking
Order
Method
Accounting
for
two-step
Normalization)
method
further
used
rank
alternative
sectors,
impact
investing
funds
emerging
top
choice,
followed
renewable
energy
sustainable
responsible
funds.
Conversely,
ESG-compliant
stocks,
ESG-focused
exchange-traded
funds,
real
estate
trusts
ranked
lowest.
study’s
findings
were
validated
through
comparisons
other
MCDM
tools
sensitivity
analysis,
confirming
robustness
proposed
model.
offers
a
valuable
framework
investors
looking
incorporate
considerations
into
their
decision-making,
promoting
practices.
Language: Английский