Digital Twins for Reducing Energy Consumption in Buildings: A Review
Sustainability,
Год журнала:
2024,
Номер
16(21), С. 9275 - 9275
Опубликована: Окт. 25, 2024
This
research
investigates
the
use
of
digital
twin
(DT)
technology
to
improve
building
energy
management
and
analyse
occupant
behaviour.
DTs
perform
function
acting
as
virtual
replicas
physical
assets,
which
facilitates
real-time
monitoring,
predictive
maintenance,
data-driven
decision-making.
Consequently,
performance
comfort
can
be
enhanced.
study
evaluates
efficiency
in
optimising
usage
by
a
mix
systematic
literature
review
scientometric
analysis
466
articles
from
Scopus
database.
Among
main
obstacles
noted
are
interoperability
issues,
privacy
data
quality
difficulties,
requirement
for
more
thorough
integration
interactions.
The
results
highlight
necessity
standardised
frameworks
direct
DT
implementations
suggest
areas
further
study,
especially
improving
cybersecurity
incorporating
behaviour
into
models.
makes
practical
recommendations
using
increase
sustainability
built
environment.
Язык: Английский
AI-Enabled Cognitive Predictive Maintenance of Urban Assets Using City Information Modeling—Systematic Review
Buildings,
Год журнала:
2025,
Номер
15(5), С. 690 - 690
Опубликована: Фев. 22, 2025
Predictive
maintenance
of
built
assets
often
relies
on
scheduled
routine
practices
that
are
disconnected
from
real-time
stress
assessment,
degradation
and
defects.
However,
while
Digital
Twin
(DT)
technology
within
building
urban
studies
is
maturing
rapidly,
its
use
in
predictive
limited.
Traditional
preventive
reactive
strategies
more
prevalent
facility
management
not
intuitive,
resource
efficient,
cannot
prevent
failure
either
underserve
the
asset
or
surplus
to
requirements.
City
Information
Modeling
(CIM)
refers
a
federation
BIM
models
accordance
with
real-world
geospatial
references,
it
can
be
deployed
as
an
Urban
(UDT)
at
city
level,
like
BIM’s
deployment
level.
This
study
presents
systematic
review
105
Scopus-indexed
papers
establish
current
trends,
gaps
opportunities
for
cognitive
framework
architecture,
engineering,
construction
operations
(AECO)
industry.
A
UDT
consisting
CIM
section
University
Florida
campus
proposed
bridge
knowledge
gap
highlighted
review.
The
illustrates
potential
CNN-IoT
integration
improve
through
advance
notifications.
It
also
eliminates
centralized
information
archiving.
Язык: Английский
Foundational AI in Insurance and Real Estate: A Survey of Applications, Challenges, and Future Directions
IEEE Access,
Год журнала:
2024,
Номер
12, С. 181282 - 181302
Опубликована: Янв. 1, 2024
Язык: Английский
Inhibiting Factors to the Implementation of Preferential Procurement Policy in the South African Construction Industry
Buildings,
Год журнала:
2024,
Номер
14(8), С. 2392 - 2392
Опубликована: Авг. 2, 2024
The
South
African
preferential
procurement
policy
emerged
from
the
demand
for
transparency,
fair
competition,
value-for-money,
standardised
and
benchmark
pricing,
regulation
of
public
arrangements
in
construction
industry.
aims
to
address
historical
inequalities,
support
economic
growth,
foster
sustainable
development.
effectiveness
Africa
is
affected
by
inhibiting
factors
its
implementation
system.
Given
this,
this
study
assesses
This
reviewed
extant
literature
online
databases
as
a
secondary
data
source
identify
understand
implementation.
A
quantitative
research
design
using
closed-ended
survey
questionnaire
surveyed
31
identified
affecting
review.
One
hundred
sixty-seven
(167)
questionnaires
were
retrieved
two
(200)
distributed,
representing
an
83.5
per
cent
response
rate,
distributed
through
Google
Forms
respondents
Northwest
Province,
Africa.
reliability
collection
instrument
was
determined
Bartlett’s
sphericity,
Cronbach’s
alpha,
Kaiser–Meyer–Olkin
tests.
exploratory
factor
analysis
findings
established
eight
components
implementation,
which
are
absence
due
diligence
screening,
corruption
political
interference
systems,
ineffective
regulatory
framework
supporting
policy,
discrepancies
award
contracts
dispute
resolution,
ambiguity
selection
criteria,
poor
enforcement
mechanisms,
cost
advance
payment,
excessive
bureaucracy
documentation.
study’s
practical
implications
provide
understanding
establishing
prioritising
such
project
requalification
requirements,
performance
technology
integration
prequalification
process,
contract
change
order
would
improve
systems
Язык: Английский
Современные подходы к оценке технического состояния строительных конструкций зданий на этапе эксплуатации
Н.В. КНЯЗЕВА,
Е. А. Назойкин,
Aleksej Orekhov
и другие.
Stroitel stvo nauka i obrazovanie [Construction Science and Education],
Год журнала:
2024,
Номер
14(3), С. 131 - 142
Опубликована: Сен. 30, 2024
Язык: Русский
Developing a design thinking artificial intelligence driven auto-marking/grading system for assessments to reduce the workload of lecturers at a higher learning institution in South Africa
Khanyisile Yanela Twabu,
Mathabo Nakene-Mginqi
Frontiers in Education,
Год журнала:
2024,
Номер
9
Опубликована: Дек. 17, 2024
This
study
explores
the
development
and
implementation
of
a
design
thinking
Artificial
Intelligence
(AI)-driven
auto-marking/grading
system
for
practical
assessments
accurate
feedback
aimed
at
alleviating
workload
lecturers
an
Online
Distance
eLearning
(ODeL)
institution
in
South
Africa.
The
adopts
iterative
approach
to
designing
prototyping
system,
ensuring
alignment
with
unique
needs
challenges
ODeL
higher
learning
(HLI).
outlines
Design
framework
developing
AI
emphasizing
empathy
user
needs,
clear
problem
definition,
ideation,
prototyping,
testing,
improvements.
Integrating
such
promises
enhance
operational
efficiency,
ensure
fair
unbiased
grading
assessments,
provide
students
consistent,
timely,
personalized
feedback.
Tapping
on
theorists
as
Michael
Foucault
Joseph
Schumpeter,
this
contributes
ongoing
discourse
innovative
solutions
educational
Africa
by
employing
qualitative
research
methods.
It
provides
insights
implementing
AI-driven
systems
education
settings.
Cognizant
data
privacy
laws,
will
highlight
essential
adherence
ethical
guidelines
automated
assessment
processes
successful
ODeL.
Additionally,
aligns
several
Sustainable
Development
Goals
(SDGs),
Good
Health
Wellbeing
(SDG
3),
Quality
Education
4),
Decent
Work
Economic
Growth
8),
Industry,
Innovation,
Infrastructure
9).
have
follow-up
article
that
report
collected,
we
conduct
another
where
seek
users’
regarding
system.
Язык: Английский
The Role of Artificial Intelligence in Aviation Construction Projects in the United Arab Emirates: Insights from Construction Professionals
Applied Sciences,
Год журнала:
2024,
Номер
15(1), С. 110 - 110
Опубликована: Дек. 27, 2024
The
applications
of
Artificial
Intelligence
(AI)
in
the
airport
industry
are
significantly
transforming
operational
efficiency,
safety,
and
passenger
experiences.
This
study
investigates
integration
AI
within
aviation
construction
projects,
with
a
focus
on
United
Arab
Emirates
(UAE).
While
technologies
such
as
facial
recognition,
IoT,
biometric
systems
have
advanced
security
operations,
their
use
project
management
remains
limited.
A
survey
was
conducted
among
101
engineering
professionals
experts
experience
or
involvement
managing
aviation-related
projects.
Participants,
many
whom
had
familiarity
tools,
provided
insights
into
applicability
areas
planning,
scheduling,
safety
monitoring.
majority
agreed
that
has
potential
to
revolutionize
processes,
improving
decision-making,
efficiency.
tools
can
predict
delays,
optimize
workflows,
enhance
through
real-time
data
analytics
machine
learning
algorithms,
reducing
risks
human
error.
Despite
UAE’s
leadership
AI-driven
advancements,
its
is
still
underdeveloped.
research
highlights
for
broader
across
entire
lifecycle
By
adopting
these
areas,
UAE
airports
could
set
new
benchmarks
cost
effectiveness,
sustainability,
delivery,
reinforcing
region’s
status
leader
technological
innovation
industry.
Язык: Английский
Leveraging AI for Continuous Integration and Delivery Enhancing Developer Productivity in Smart Education and Sustainable Learning
Gangadhararamachary Ramadugu
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 287 - 300
Опубликована: Дек. 20, 2024
Continuous
Integration
and
Delivery
(CI/CD)
practices
are
crucial
for
enhancing
developer
productivity
ensuring
seamless
software
development
in
smart
education
sustainable
learning
environments.
Leveraging
Artificial
Intelligence
(AI)
within
CI/CD
pipelines
introduces
automation,
predictive
analysis,
intelligent
monitoring,
reducing
manual
intervention
accelerating
the
cycle.
This
chapter
explores
how
AI-driven
enhances
efficiency
of
delivery
technology
(EdTech)
systems.
It
covers
AI's
role
automating
testing,
debugging,
deployment
processes
while
scalability
adaptability.
Furthermore,
discusses
implications
AI-powered
promoting
ecosystems,
improving
resource
utilization,
fostering
a
more
personalized
adaptive
experience
students.
Язык: Английский
Predictive Scheduling in the Age of AI
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 333 - 346
Опубликована: Дек. 20, 2024
Predictive
scheduling
powered
by
AI
is
transforming
the
way
project
timelines
are
managed
in
sustainable
learning
environments.
This
chapter
explores
how
AI-driven
predictive
models
optimize
analyzing
historical
data,
resource
availability,
and
complexity.
By
automating
timeline
adjustments
forecasting
potential
delays,
enhances
efficiency
minimizes
wastage.
The
implementation
of
educational
technology
projects
ensures
more
adaptive,
scalable,
also
discusses
key
benefits,
challenges,
future
implications
AI-based
EdTech
development.
Язык: Английский