Energies,
Journal Year:
2024,
Volume and Issue:
17(20), P. 5207 - 5207
Published: Oct. 19, 2024
Urban
energy
systems
planning
presents
significant
challenges,
requiring
the
integration
of
multiple
objectives
such
as
economic
feasibility,
technical
reliability,
and
environmental
sustainability.
Although
previous
studies
have
focused
on
optimizing
renewable
systems,
many
lack
comprehensive
decision
frameworks
that
address
complex
trade-offs
between
these
in
urban
settings.
Addressing
this
study
introduces
a
novel
Multi-Criteria
Decision
Analysis
(MCDA)
framework
tailored
for
evaluation
prioritization
scenarios
contexts,
with
specific
application
to
city
Bozen-Bolzano.
The
proposed
integrates
various
performance
indicators
provide
assessment
tool,
enabling
planners
make
informed
decisions
balance
different
strategic
priorities.
At
core
is
Technique
Order
Preference
by
Similarity
Ideal
Solution
(TOPSIS),
which
employed
systematically
rank
based
their
proximity
an
ideal
solution.
This
method
allows
clear,
quantifiable
comparison
diverse
strategies,
facilitating
identification
best
align
city’s
overall
objectives.
flexibility
MCDA
framework,
particularly
through
adjustable
criteria
weights
TOPSIS,
it
accommodate
shifting
priorities
planners,
whether
they
emphasize
economic,
environmental,
or
outcomes.
study’s
findings
underscore
importance
holistic
approach
planning,
where
are
inevitable
but
can
be
managed
effectively
structured
decision-making
process.
Finally,
addresses
key
gaps
literature
providing
flexible
adaptable
tool
replicated
contexts
support
transition
toward
100%
systems.
Innovation and Green Development,
Journal Year:
2024,
Volume and Issue:
3(3), P. 100139 - 100139
Published: Feb. 15, 2024
Global
climate
change
triggered
by
the
escalating
carbon
dioxide
(CO2)
emissions
resulting
from
heightened
economic
expansion
and
consumption
of
energy
represents
foremost
environmental
concern
in
contemporary
global
context.
China
is
accountable
for
nearly
27%
total
CO2
emissions,
making
it
largest
emitter
worldwide.
This
study
explores
consequences
outgrowth,
fossil
fuel,
renewable
utilization
on
China's
CO2.
The
utilized
an
autoregressive
distributed
lag
(ARDL)
model
to
analyze
annual
data
1965
2022.
ARDL
bounds
test
results
indicate
presence
long-term
cointegration
among
variables.
empirical
specify
that
a
1%
growth
fuels
economy
leads
4.97%
0.58%
emissions.
In
short
term,
these
increases
amount
2.42%
1.21%,
respectively.
Conversely,
enhancement
could
result
reduction
1.39%,
whereas
would
be
0.50%.
proposes
policy
suggestions
attainment
sustainable
development
neutrality.