District
heating
(DH)
is
a
cornerstone
of
Denmark’s
energy
infrastructure
where
producers
emphasize
efficiency
and
emissions
reductions.
However,
in
2020,
30.7%
DH
production
came
from
nonrenewable
(coal,
gas,
oil,
solid
waste).
The
purpose
this
research
to
(1)
evaluate
Danish
producers’
ability
address
sustainability
challenges
using
Multi
Criteria
Analysis
(MCA)
(2)
streamline
an
MCA
methodology
for
policymakers
understand
at
the
sector
level
plan
policy
interventions.
This
uses
Weighted
Sum
Model
facing
Large-scale
CHP,
Small-scale
units,
Autoproducers
Denmark.
These
are
evaluated
on
23
indicators
categorized
into
8
criteria
under
3
thematic
challenges:
Technology
&
Planning,
Energy
Transition,
Heat
Supply
Diversity.
analysis
shows
CHP
face
greatest
overall
challenge.
next
challenge
difficulty,
followed
by
Heating
Units,
Autoproducers.
all
have
difficulty
addressing
their
Transition
while
Units
elevated
rating
Planning.
accessibility
allows
its
cross-sector
cross-national
use
implementation
evaluation.
Sustainable Cities and Society,
Journal Year:
2023,
Volume and Issue:
95, P. 104629 - 104629
Published: May 4, 2023
Sustainability
indicators
(SIs)
are
important
instruments
to
quantify,
analyse,
and
communicate
complex
sustainability
information,
with
a
history
of
application
in
energy
research.
It
is
critical
identify
an
effective
set
which
can
holistically
evaluate
the
systems
encompassing
three
facets
sustainability:
environment,
economy,
society.
However,
literature
has
been
lacking
either
proportionally
representing
dimensions
or
reflecting
stakeholders'
preferences.
This
paper
develops
framework
prioritise
SIs,
critically
reviewed
ensure
reflection
wide
array
factors
conceptions
what
entails.
The
developed
utilises
series
methods
within
phases:
identification,
refinement,
prioritisation.
Applying
proposed
building
heating
technologies,
22
SIs
consisting
4
economic,
8
environmental,
10
social
were
identified.
According
results,
economic
Operation
&
Maintenance
Cost
Net
Present
Value
found
be
most
impactful
factors,
while
environmental
contribute
overall
weight.
identified
apply
assessment
policies,
could
more
broadly
support
analysis
key
criteria
various
fields.
Land,
Journal Year:
2024,
Volume and Issue:
13(9), P. 1471 - 1471
Published: Sept. 11, 2024
Evaluating
the
sustainability
of
smart
cities
is
crucial
for
promoting
sustainable
development.
Traditionally,
this
evaluation
process
has
traditionally
been
carried
out
using
Multi-Criteria
Decision
Analysis
approach.
However,
approach
relies
upon
a
unified
input
dataset,
which
can
lead
to
oversimplification,
particularly
in
context
sustainability.
Further,
does
not
take
account
how
evolves
over
time.
This
paper
introduces
time-based
assessment
technique
that
combines
with
an
established
method
assessing
performance
variability,
recognized
as
Preference
Ranking
Organization
Method
Enrichment
Evaluations.
The
resulting
framework,
called
Enhanced
Evaluations,
was
used
evaluate
and
communities
across
G20
countries,
based
on
aggregated
data,
individual
dimensions,
scenarios.
results
demonstrate
effectiveness,
relevance,
applicability
new
approach,
provides
significant
advance
field
city
by
facilitating
multi-period
evaluations
enabling
multi-perspective
assessments.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(11), P. 8869 - 8869
Published: May 31, 2023
The
rise
of
Industry
4.0
tools
transforms
the
way
production
plants
are
planned,
controlled,
and
monitored,
allowing
organizations
to
achieve
greater
flexibility,
efficiency,
cost
reduction.
This
way,
use
emerging
technologies
provides
a
new
look
at
industrial
sector,
particularly
concerning
sustainability
issues
in
society
that
suffers
worsening
effects
from
climate
change.
On
other
hand,
degree
success
when
implementing
practices
sustainable-oriented
manufacturing
systems
is
closely
related
hard
decision-making,
which
involves,
practice,
multiple
even
conflicting
criteria
model
multidimensional
problems.
For
reason,
it
worth
recognizing
importance
multi-criteria
decision-making/aid
(MCDM/A)
approach
support
decision
modeling
application
so
this
research
field
can
be
better
explored
enhance
implementation
innovative
advances
operations
management.
Given
backdrop,
paper
undertakes
systematic
literature
review
(SLR)
118
papers,
thereby
combining
set
predefined
keywords
with
several
exclusion
detect
sustainable
decisions
introduced
Web
Science
(Clarivate
Analytics)
database.
Cross-matching
important
metrics
these
papers
encourages
work
provide
readers
two
axes
discussion
aid
five
questions:
bibliometric
analysis
content
analysis.
Among
many
findings,
some
guidelines
for
decision-making
put
forward
share
insights
decision-makers,
scholars,
experts,
stakeholders,
professionals
an
overall
managerial
background
applying
multicriteria
models
systems.
Energies,
Journal Year:
2023,
Volume and Issue:
16(23), P. 7703 - 7703
Published: Nov. 22, 2023
Due
to
the
environmental
policy
adopted
by
European
Union
(EU),
EU
countries
are
obliged
reduce
greenhouse
gas
emissions.
They
emissions
largely
through
energy
transformation
and
switching
renewable
sources
(RES).
Therefore,
it
is
important
assess
progress
of
individual
countries.
This
related
aim
article,
which
a
temporal
analysis
process
towards
transition
RES
reducing
use
fossil
fuels
in
production.
To
achieve
this
goal,
new
Temporal/Dynamic
Multi-Criteria
Decision-Making
(T/DMCDM)
method
called
Temporal
PROSA
was
developed,
based
on
PROMETHEE
family
methods.
The
method,
unlike
many
other
T/DMCDM
methods,
enables
aggregation
data
from
periods
into
single
final
assessment,
as
well
direct
transfer
information
examined
overall
result.
As
result
research,
that
dominated
terms
years
2004–2021were
identified.
Based
methodology
used,
indicated
these
primarily
Sweden
Portugal,
recently
also
Denmark
Finland.
On
hand,
such
Belgium,
Bulgaria,
Cyprus,
Luxembourg,
Poland
made
least
between
2004
2021.
