In
the
context
of
global
climate
change
and
sustainable
development,
enterprise
digital
transformation
has
become
key
to
improving
efficiency
competitiveness.
Digital
twin
technology,
as
an
emerging
tool,
enables
real-time
monitoring,
prediction,
optimization
by
creating
dynamic
virtual
models
real-world
processes.
This
paper
explores
impact
twin-based
on
renewable
energy
investment
decisions.
Through
empirical
analysis
over
200
companies
globally,
study
finds
that
using
technology
exhibit
higher
accuracy
in
These
show
improved
forecasting
consumption
returns,
gaining
a
competitive
edge.
On
average,
these
experience
15%
ROI
increase
for
their
investments
enjoy
20%
acceleration
decision-making
process.
Furthermore,
delves
into
how
adoption
differs
across
various
company
sizes
industries,
providing
actionable
insights
guidance
enterprises
embarking
journey.
Smart Cities,
Год журнала:
2024,
Номер
7(5), С. 2594 - 2615
Опубликована: Сен. 10, 2024
Digital
Twin
(DT)
technology
is
a
pivotal
innovation
within
the
built
environment
industry,
facilitating
digital
transformation
through
advanced
data
integration
and
analytics.
DTs
have
demonstrated
significant
benefits
in
building
design,
construction,
asset
management,
including
optimising
lifecycle
energy
use,
enhancing
operational
efficiency,
enabling
predictive
maintenance,
improving
user
adaptability.
By
integrating
real-time
from
IoT
sensors
with
analytics,
provide
dynamic
actionable
insights
for
better
decision-making
resource
management.
Despite
these
promising
benefits,
several
challenges
impede
widespread
adoption
of
DT
technology,
such
as
technological
integration,
consistency,
organisational
adaptation,
cybersecurity
concerns.
Addressing
requires
interdisciplinary
collaboration,
standardisation
formats,
development
universal
design
platforms
DTs.
This
paper
provides
comprehensive
review
definitions,
applications,
capabilities,
Architecture,
Engineering,
Construction
(AEC)
industries.
important
researchers
professionals,
helping
them
gain
more
detailed
view
DT.
The
findings
also
demonstrate
impact
that
can
on
this
sector,
contributing
to
advancing
implementations
promoting
sustainable
efficient
management
practices.
Ultimately,
set
revolutionise
AEC
industries
by
autonomous,
data-driven
operations
enhanced
productivity
performance.
International Journal of Computer Science and Information Technology,
Год журнала:
2025,
Номер
5(2), С. 13 - 21
Опубликована: Фев. 27, 2025
With
the
rapid
development
of
industrial
Internet,
Internet
Things
(IoT),
and
big
data
technologies,
digital
twin
technology
has
emerged
as
a
pivotal
tool
in
enhancing
productivity,
optimizing
resource
allocation,
driving
evolution
smart
manufacturing
systems.
This
paper
provides
comprehensive
review
current
state
research
on
twins,
exploring
their
applications
across
various
sectors
such
production
processes,
equipment
management,
quality
control.
The
highlights
technological
advances
that
have
enabled
widespread
adoption
including
virtual
modeling,
real-time
transmission
processing,
fusion.
It
also
discusses
key
challenges
faced
by
industries
implementing
accuracy
integration,
complexity
model
construction,
need
for
standardization
cross-platform
integration.
Additionally,
addresses
ongoing
trends
field,
increasing
integration
twins
with
artificial
intelligence,
machine
learning,
cloud
computing.
Finally,
an
outlook
future
directions
research,
identifying
areas
further
innovation
application,
offers
recommendations
overcoming
limitations
to
support
wider
adoption.
By
summarizing
progress
challenges,
this
aims
provide
theoretical
insights
practical
guidance
advancing
technology.
