Multi-objective optimization of daylighting performance and energy consumption of educational buildings in different climatic zones of China
Journal of Building Engineering,
Год журнала:
2024,
Номер
95, С. 110322 - 110322
Опубликована: Авг. 3, 2024
Язык: Английский
Towards Urban Digital Twins: A Workflow for Procedural Visualization Using Geospatial Data
Remote Sensing,
Год журнала:
2024,
Номер
16(11), С. 1939 - 1939
Опубликована: Май 28, 2024
A
key
feature
for
urban
digital
twins
(DTs)
is
an
automatically
generated
detailed
3D
representation
of
the
built
and
unbuilt
environment
from
aerial
imagery,
footprints,
LiDAR,
or
a
fusion
these.
Such
models
have
applications
in
architecture,
civil
engineering,
planning,
construction,
real
estate,
Geographical
Information
Systems
(GIS),
many
other
areas.
While
visualization
large-scale
data
conjunction
with
often
recurring
resource-intensive
task,
automated
workflow
complex,
requiring
steps
to
achieve
high-quality
visualization.
Methods
building
reconstruction
approaches
come
long
way,
previously
manual
semi-automatic
automatic
approaches.
This
paper
aims
complement
existing
methods
generation.
First,
we
present
literature
review
covering
different
options
procedural
context
generation
methods,
focusing
on
workflows
pipelines.
Next,
semi-automated
that
extends
pipeline
include
using
Python
Unreal
Engine.
Finally,
propose
integrating
various
types
analysis
We
conclude
series
challenges
faced
achieving
such
pipelines
limitations
current
approach.
However,
complete,
end-to-end
solution
involve
further
developing
robust
systems
detection,
rooftop
recognition,
geometry
importing
visualizing
same
environment,
highlighting
need
research
development
this
field.
Язык: Английский
The Sustainability of Smart Cities: Improving Evaluation by Combining MCDA and PROMETHEE
Land,
Год журнала:
2024,
Номер
13(9), С. 1471 - 1471
Опубликована: Сен. 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.
Язык: Английский
BIM-based embodied carbon evaluation during building early-design stage: A systematic literature review
Environmental Impact Assessment Review,
Год журнала:
2024,
Номер
112, С. 107768 - 107768
Опубликована: Дек. 12, 2024
Язык: Английский
Usability and fitness testing for building performance simulation tools
Journal of Building Performance Simulation,
Год журнала:
2024,
Номер
17(4), С. 460 - 479
Опубликована: Апрель 12, 2024
Architects
and
engineers
who
seek
design
decision
aid
for
sustainable
building
city
frequently
experience
decisional
conflict
require
support
across
the
process.
Building
performance
simulations
have
become
central
to
supporting
process,
but
little
is
known
about
fit
usability
of
simulation
tools
factors
influencing
implementation
simulation-based
in
practice.
This
paper
presents
a
novel
framework
tool
called
USER-FIT.
The
defines
based
on
ISO
definitions,
review
evidence
literature,
our
development
framework.
USER-FIT
provides
six
measures
modelers
software
developers
test
how
useful,
usable,
satisfactory
intended
users
inform
decision-making.
Further
research
testing
are
needed
better
acquisition
implantation
applications.
Язык: Английский
BIM-Based Machine Learning Application for Parametric Assessment of Building Energy Performance
Energies,
Год журнала:
2025,
Номер
18(1), С. 201 - 201
Опубликована: Янв. 5, 2025
The
energy
performance
of
buildings
has
become
a
main
concern
globally
in
response
to
increased
demand,
the
environmental
impacts
production,
and
reality
poverty.
To
improve
efficiency,
proper
building
design
should
be
secured
at
early
phase.
Digital
tools
are
currently
available
for
performing
assessment
analyses
can
efficiently
handle
complex
technically
demanding
buildings.
However,
alternative
designs
checked
individually,
this
makes
process
time-consuming
prone
errors.
Machine
learning
techniques
provide
valuable
assistance
developing
decision
support
tools.
In
paper,
typical
residential
considered
along
with
eleven
factors
that
highly
affect
performance.
A
dataset
337
instances
such
parameters
is
developed.
For
each
dataset,
estimated
based
on
BIM
analysis.
Next,
statistical
machine
implemented
artificial
models
They
include
regression
modeling
(SRM),
trees
(DTs),
random
forests
(RFs),
neural
networks
(ANNs).
analysis
reveals
contribution
factor
highlights
ANN
as
best
model.
An
easy-to-use
interface
tool
been
developed
instantaneous
calculation
independent
parameter
values.
Язык: Английский
Automatic Information Gain-guided Convergence for refining building design parameters: Enhancing effectiveness and interpretability in Simulation-based Optimization
Building and Environment,
Год журнала:
2025,
Номер
unknown, С. 112788 - 112788
Опубликована: Март 1, 2025
Язык: Английский
Setting Benchmark Values for Apartment Blocks in Norway as the Basis for GHG Emission Reduction Along the Building Process
Building and Environment,
Год журнала:
2025,
Номер
unknown, С. 113127 - 113127
Опубликована: Май 1, 2025
Язык: Английский
Theorizing Security-Pandemic Aspects and Variables for Post-Pandemic Architecture
Building and Environment,
Год журнала:
2024,
Номер
258, С. 111579 - 111579
Опубликована: Май 10, 2024
Язык: Английский
Renaturing the City in Architectural Design Through Camouflage Strategy
E3S Web of Conferences,
Год журнала:
2024,
Номер
576, С. 05004 - 05004
Опубликована: Янв. 1, 2024
The
urban
environment
is
built
on
the
natural
environment.
presence
of
architectural
design
dominates
through
materials.
solid
nature
material
causes
to
be
unable
absorb
rainwater
optimally.
Decreased
soil
quality
can
have
a
negative
impact
humans.
Therefore,
naturalization
needed
reduce
This
research
explores
optimal
form
channel
into
ground.
qualitative
in
nature.
method
used
experimental.
Experiments
were
carried
out
find
small-scale
models.
results
are
full-slooping
that
maximize
water
absorption
soil.
caused
by
application
camouflage
strategy
finding
most
shape.
allows
renaturalizing
risk
impacts
Язык: Английский