JISA(Jurnal Informatika dan Sains),
Journal Year:
2024,
Volume and Issue:
7(2), P. 148 - 152
Published: Dec. 27, 2024
Carbon
emissions
represent
a
critical
driver
of
global
climate
change,
exerting
profound
impacts
on
environmental
sustainability
and
public
health.
This
research
examines
Indonesia's
carbon
emission
trends
using
comprehensive
dataset
spanning
from
1960
to
2018,
with
specific
focus
Indonesia,
obtained
Kaggle.
Employing
Linear
Regression
(LR)
as
the
primary
machine
learning
technique,
study
effectively
models
forecasts
future
levels
for
Indonesia.
The
findings
indicate
projected
increase
in
2.38
tons
per
capita
annually
by
2030,
underscoring
urgent
need
robust
policies.
Buildings,
Journal Year:
2025,
Volume and Issue:
15(7), P. 994 - 994
Published: March 21, 2025
With
the
rapid
advancement
of
machine
learning
(ML)
technologies,
their
innovative
applications
in
enhancing
building
energy
efficiency
are
increasingly
prominent.
Utilizing
tools
such
as
VOSviewer
and
Bibliometrix,
this
study
systematically
reviews
body
related
literature,
focusing
on
key
emerging
trends
cutting-edge
ML
techniques,
including
deep
learning,
reinforcement
unsupervised
optimizing
performance
managing
carbon
emissions.
First,
paper
delves
into
role
prediction,
intelligent
management,
sustainable
design,
with
particular
emphasis
how
smart
systems
leverage
real-time
data
analysis
prediction
to
optimize
usage
significantly
reduce
emissions
dynamically.
Second,
summarizes
technological
evolution
future
sector
identifies
critical
challenges
faced
by
field.
The
findings
provide
a
technology-driven
perspective
for
advancing
sustainability
construction
industry
offer
valuable
insights
research
directions.
Built Environment Project and Asset Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 5, 2025
Purpose
With
the
use
of
increased
number
measures
and
strategies
towards
mitigating
operational
carbon
emissions,
a
greater
emphasis
has
now
been
placed
on
reducing
resultant
embodied
(EC).
However,
assessment
practice
seems
cumbersome
due
to
variation
in
data
methodologies.
To
this
end,
study
aims
develop
basis
that
would
facilitate
early-stage
EC
for
proposed
building.
Design/methodology/approach
This
primarily
involved
quantitative
analysis
50
Bill
Quantities
(BOQs)
two-story
house
projects.
Additional
information
such
as
materials,
vehicle
plant
equipment
used
construction
was
obtained
from
technical
specifications,
industry
practiced
norms
databases.
The
emission
calculated
using
basic
statistics.
Findings
total
two-storey
residential
building
is
equivalent
0.0607
tCO2e
per
square
feet
Gross
Internal
Floor
Area
(GIFA).
Concrete
highest
contributor
material
production
with
36%
stage
responsible
94%
EC.
excavation
earthwork
emitter
during
transportation
(93%
stage).
During
stage,
reinforcement
shows
85%
construction.
concludes
distribution
among
elements
contributes
efficient
resource
allocation
achieving
sustainability
buildings.
Originality/value
provides
forecast
emitted
cradle-to-end-of-construction
From
implication
perspective,
it
expected
which
enable
determine
appropriate
tax
account
potential
client
his
contribution
GHGs.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: July 13, 2024
Abstract
Sustainable
multi-story
building
designs
are
gaining
increasing
attention
in
light
of
the
green
development
industry.
Recently,
many
studies
have
been
conducted
to
determine
optimized
embodied
energy
considering
size
structural
members
and
materials
strength
using
a
single
objective
function.
In
this
context,
current
study
adopted
multi-objective
function
based
on
cost
Embodied
Energy
(EE)
for
sustainable
design
entire
building.
A
BuildingEnergy
computer
program
is
used
assess
consumption
performance
reinforcement
cement
concrete
Based
proposed
method,
an
analysis
carried
out
compare
optimal
solutions
Furthermore,
detailed
parametric
was
explore
main
factors
energy-efficient
column
beam
design.
The
results
revealed
that
with
comparison
most
“carbon-friendly”
“cost-friendly”
solutions,
added
6–7%
can
contribute
up
13%
emission
reduction.
sectional
dimensions,
steel
rebar,
strengths,
ratio,
height,
eccentricity
remarkably
influence
design,
optimization,
minimum
carbon
emission.
Overall,
could
help
define
cost-effective
members.
Eventually,
EE
confirmed
be
feasible
parameter
designing
more
RCC
buildings.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(16), P. 6770 - 6770
Published: Aug. 7, 2024
The
standard
of
living
has
significantly
risen
along
with
ongoing
economic
progress,
but
CO2
emissions
have
also
been
rising.
reduction
in
resulting
from
the
daily
activities
residents
become
a
crucial
priority
for
every
province.
A
relevant
study
on
carbon
Hebei
Province
was
conducted
this
publication,
aiming
to
provide
theoretical
basis
sustainable
development
Province.
first
part
article
calculates
people
2005
2020
using
emission
factor
method
and
Consumer
Lifestyle
Approach
(CLA).
Secondly,
Logarithmic
Mean
Divisia
Index
(LMDI)
decomposition
approach
is
used
assess
components
that
influence
both
direct
indirect
emissions.
Finally,
scenario
analysis
employed
conjunction
LEAP
model
establish
baseline,
low-carbon,
ultra-low-carbon
scenarios
predict
trend
residents’
2021
2040.
results
show
total
rose,
77.45
million
tons
153.35
tons.
Income
level,
energy
consumption
intensity,
population
scale
are
factors
contribute
increase
emissions,
while
tendency
mitigating
effect
Economic
structure,
intensity
structure
prediction
under
baseline
scenario,
cumulative
will
not
reach
zenith
However,
low-carbon
situation,
peak
2029,
174.69
tons,
whereas
it
2028,
173.27
