Machine Learning for Leadership in Energy and Environmental Design Credit Targeting: Project Attributes and Climate Analysis Toward Sustainability
Ali Mansouri,
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Mohsen Naghdi,
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Abdolmajid Erfani
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et al.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(6), P. 2521 - 2521
Published: March 13, 2025
Achieving
Leadership
in
Energy
and
Environmental
Design
(LEED)
certification
is
a
key
objective
for
sustainable
building
projects,
yet
targeting
LEED
credit
attainment
remains
challenge
influenced
by
multiple
factors.
This
study
applies
machine
learning
(ML)
models
to
analyze
the
relationship
between
project
attributes,
climate
conditions,
outcomes.
A
structured
framework
was
implemented,
beginning
with
data
collection
from
USGBC
(LEED-certified
projects)
US
NCEI
(climate
data),
followed
preprocessing
steps.
Three
ML
models—Decision
Tree
(DT),
Support
Vector
Regression
(SVR),
XGBoost—were
evaluated,
XGBoost
emerging
as
most
effective
due
its
ability
handle
large
datasets,
manage
missing
values,
provide
interpretable
feature
importance
scores.
The
results
highlight
strong
influence
of
version
type,
demonstrating
how
criteria
project-specific
characteristics
shape
sustainability
Additionally,
factors,
particularly
cooling
degree
days
(CDD)
precipitation
(PRCP),
play
crucial
role
determining
attainment,
underscoring
regional
environmental
conditions.
By
leveraging
techniques,
this
research
offers
data-driven
approach
optimizing
strategies
enhancing
process.
These
insights
pave
way
more
informed
decision-making
green
design
policy,
future
opportunities
refine
predictive
even
greater
accuracy
impact.
Language: Английский
Sustainable Development in the Tunisian Hotel Sector: A Case Study of Using LED Lighting and Photovoltaic Systems
H. Trabelsi,
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Younés Boujelbène
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Energies,
Journal Year:
2025,
Volume and Issue:
18(8), P. 1902 - 1902
Published: April 9, 2025
Researchers
and
companies
are
placing
increasing
importance
on
sustainability
to
fight
climate
change.
This
study
analyzes
the
of
hotel
installation,
photovoltaic
(PV)
solar
panels,
transition
from
traditional
lighting
light-emitting
diode
(LED)
bulbs.
The
results
show
that
for
PV
system,
NPV
(net
present
value)
varied
between
3191
11,959
kTND/kW
installation
panels
has
a
positive
100%
in
case
high
market
scenario
79–84%
with
reduced
activity.
Regarding
energy
optimization,
use
LED
bulbs
generates
an
346
713
TND/bulb,
depending
self-consumption
cost
electricity.
Ecological
studies
installing
would
reduce
carbon
dioxide
emissions
by
424
gCO2eq/kWh,
or
61
tCO2eq/year.
Furthermore,
social
evaluations
have
shown
renewable
optimization
point
view
ecological
transition.
In
conclusion,
green
investments
improve
hotels.
However,
fully
exploit
this
potential,
change
consumer
attitudes
is
needed.
Hotels
must
continue
promote
their
efforts
while
making
guests
aware
eco-friendly
choices.
Only
combined
approach,
involving
both
hoteliers
guests,
will
achieve
sustainable
sector.
objective
article
therefore
examine
multidisciplinary
interactions
development
highlighting
inherent
opportunities
approach
success
hospitality
Our
methodological
combines
theoretical
numerical
study.
These
play
major
role
projects
due
economic,
environmental,
technical,
technological
contributions,
which
proves
address
holistic
way.
Language: Английский
Exploring the Impact of Spatial Arrangements on BREEAM Outstanding Projects in London, UK
Urban Science,
Journal Year:
2024,
Volume and Issue:
8(4), P. 239 - 239
Published: Dec. 2, 2024
The
spatial
configuration
of
urban
areas
impacts
environmental
sustainability,
social
equity,
and
economic
resilience.
This
study
examines
the
intricate
relationship
between
arrangements
planning
design
BREEAM
Outstanding
projects
in
London,
UK.
It
analyses
morphology
effectiveness
sustainable
building
practices
contributes
to
broader
objectives
sustainability.
research
focuses
on
UK—a
city
renowned
for
its
complex
fabric
architectural
heterogeneity—using
a
multi-case
approach
dissect
elements
that
facilitate
development
projects.
key
characteristics
such
as
land
use
diversity,
subway
network
analysis,
street
analysis
using
betweenness
centrality
edges
node
degrees.
These
factors
are
considered
due
their
impact
energy
performance,
carbon
emissions,
sustainability
metrics.
Furthermore,
this
explores
how
strategies,
enhanced
walkability
mixed-use
development,
reinforce
success
BREEAM-certified
Outstanding-rated
findings
investigation
reveal
correlation
environments
London.
By
aligning
organisation
form
with
principles,
planners,
policymakers,
architects
can
creation
cities
environmentally
sustainable,
socially
inclusive,
economically
prosperous.
offers
substantive
insights
actionable
recommendations
future
advocating
comprehensive
interdisciplinary
design.
arrangement
Findings
from
current
will
be
used
investigate
connections
various
categories
they
influence
set
benchmark
contributing
more
equitable
future.
Language: Английский
A Multi-Criteria Decision-Making Approach for Assessing the Sustainability of an Innovative Pin-Connected Structural System
Buildings,
Journal Year:
2024,
Volume and Issue:
14(7), P. 2221 - 2221
Published: July 19, 2024
Structural
design
plays
a
very
important
role
in
reducing
environmental
impacts
by
reusing
resources,
recycling
materials,
and
minimizing
waste
pollution
the
construction
sector.
Sustainable
becomes
more
effective
than
traditional
solutions
achieving
transition
to
sustainability.
The
decision-making
process
is
not
simple
due
different
preferences
of
clients,
architects,
engineers.
This
paper
aims
develop
decision
framework
for
assessing
sustainability
early
structural
stage.
Multi-criteria
decision-aiding
(MCDA)
methods
have
been
implemented
improve
selection
regulations.
A
technical
ranking
approach,
Fuzzy
Analytic
Hierarchy
Process
(FAHP)
method,
has
employed
identify
optimal
solution.
Three
alternatives
including
an
innovative
two
systems
selected
compared
terms
three
criteria—economic,
social,
impacts.
Nine
sub-criteria
importance
level
sustainable
determined
through
literature
review
professional
experts.
FAHP
show
that
economic
impact
(58%)
most
criterion
systems,
followed
environment
with
31%.
social
aspect
contributes
11%
this
it
ranked
as
least
criterion.
research
revealed
MCDA
can
be
used
guideline
engineers
design.
model
proposed
study
verified
and,
therefore,
applied
similar
projects.
Language: Английский