Advancing GIS-based suitability analysis of BtX, PtX, PBtX, and eBtX facilities using the fuzzy analytic hierarchy process
MethodsX,
Journal Year:
2025,
Volume and Issue:
14, P. 103194 - 103194
Published: Jan. 29, 2025
To
address
the
urgent
need
for
sustainable
fuel
production,
this
study
proposes
a
novel
methodology
that
integrates
Geographic
Information
Systems
(GIS)
and
Multi-Criteria
Decision
Analysis
(MCDA)
techniques
to
identify
optimal
sites
Biomass-to-X
(BtX),
Power-to-X
(PtX),
or
hybrid
(e-/PBtX)
facilities.
The
proposed
provides
systematic
quantitative
approach
evaluate
location
suitability,
offering
valuable
insights
spatial
decision-making
in
production
from
BtX,
PtX,
e-/PBtX.
CES-GIS-SAFAHP
uses
selected
relevant
geospatial
data,
which
is
processed
derive
criteria-specific
datasets,
such
as
spatially
resolved
energy
density
maps
biomass-based
systems
combined
wind
solar
datasets
processes.
These
data
are
then
subjected
Fuzzy
Analytic
Hierarchy
Process
(FAHP),
involves
use
of
pairwise
comparisons
normalization
assign
weights
criteria,
ultimately
resulting
generation
weighted
overlay
maps.
results
both
weighed
concurrently
performed
exclusion
analysis,
delineating
areas
fail
meet
key
conditions
constraints,
produce
final
suitability
map
enabling
identification
plant
locations
based
on
their
overall
index.
offers
robust,
framework
optimization
siting
facilities
with
significant
applications
policy-makers,
industry,
researchers
involved
e-/PBtX
scale-up.
encompasses
comprehensive
…•Providing
recommended
list
categorized
into
``requisite,''
``infrastructure,''
``environmental''
tailored
site
selection.•Offering
structured
workflow
deriving
through
combination
GIS-based
FAHP
analysis.•Providing
practical,
replicable
algorithm
can
guide
users
process,
making
it
easier
apply
various
geographic
project
contexts.
Language: Английский
The Single-Valued Neutrosophic Extension of the PIPRECIA Method
Knowledge-Based Systems,
Journal Year:
2025,
Volume and Issue:
unknown, P. 113271 - 113271
Published: Feb. 1, 2025
Language: Английский
The impacts of whole life cycle project management on the sustainable development goals
Nannan Wang,
No information about this author
Naixiao Cui,
No information about this author
Shuangze Xue
No information about this author
et al.
Journal of Asian Architecture and Building Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 20
Published: March 27, 2025
Language: Английский
Evaluating the sustainable Development Goals in higher education institutions using Multi-Criteria Decision Making/Analysis: calculating the weights of criteria with the Analytic Hierarchy Process
Sustainability Science Practice and Policy,
Journal Year:
2025,
Volume and Issue:
21(1)
Published: March 5, 2025
Language: Английский
An Application of the Interval Type-2 Fuzzy TOPSIS Method for the Selection of Project Managers
Engineering Management Journal,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 14
Published: May 2, 2025
Language: Английский
Fuzzy normalization-based Multi-Attributive Border Approximation Area Comparison
Engineering Applications of Artificial Intelligence,
Journal Year:
2024,
Volume and Issue:
141, P. 109736 - 109736
Published: Dec. 4, 2024
Language: Английский
Navigating the Complexity of HRM Practice: A Multiple-Criteria Decision-Making Framework
Mathematics,
Journal Year:
2024,
Volume and Issue:
12(23), P. 3769 - 3769
Published: Nov. 29, 2024
A
myriad
of
diverse
factors
affect
the
contemporary
business
environment
and
all
areas,
causing
organisations
to
innovate
new
models,
or
use
innovations
navigate
complexity
HRM
practice
successfully.
Despite
plenitude
notable
studies,
a
particular
theoretical
gap
exists
regarding
innovation’s
impact
on
practices
understanding
how
multiple-criteria
decision-making
(MCDM)
methods
can
be
effectively
applied
in
context
human
resource
management
(HRM)
address
important
aspects
successful
prioritise
considered
alternative
solutions.
Recognising
potential
MCDM
field
highlighted
possibility
involving
detecting
most
influential
innovative
defining
rank
companies
that
are
applying
them.
The
approach
proposed
here
utilises
CRITIC
(CRiteria
Importance
Through
Intercriteria
Correlation)
method
PIPRECIA-S
(Simple
PIvot
Pairwise
RElative
Criteria
Assessment)
for
prioritising
practices,
COBRA
(COmprehensive
Distance
Based
RAnking)
assessing
under
evaluation.
research,
which
involved
21
respondent
experts
from
12
Republic
Serbia,
revealed
employee
participation
is
significant
yields
best
results
environment.
Consequently,
first-ranked
company
successfully
met
requirements
presented.
Language: Английский