Electronics,
Journal Year:
2024,
Volume and Issue:
13(16), P. 3255 - 3255
Published: Aug. 16, 2024
Digital
Twins
(DT)
play
a
key
role
in
Industry
4.0
applications,
and
the
technology
is
process
of
being
mature.
Since
its
conceptualisation,
it
has
been
heavily
contextualised
often
misinterpreted
as
merely
virtual
model.
Thus,
crucial
to
define
clearly
have
deeper
understanding
architecture,
workflow,
implementation
scales.
This
paper
reviews
notion
Twin
represented
literature
analyses
different
kinds
descriptions,
including
several
definitions
architectural
models.
A
new
fit-for-all
definition
proposed
which
describes
underlying
without
context-specific
also
overcomes
pitfalls
existing
generalised
definitions.
In
addition,
three-dimensional
five-dimensional
models
DT
architecture
their
characteristic
features
are
analysed.
simplified
two-branched
model
introduced,
retains
clear
separation
between
real
spaces
outlines
latter
based
on
two
modelling
approaches.
then
extended
for
condition
monitoring
electronic
components
systems,
hybrid
approach
Prognostics
Health
Management
(PHM)
further
elaborated
on.
The
framework,
enabled
by
model,
combines
physics-of-degradation
data-driven
approaches
empowers
next
generation
reliability
assessment
methods.
Finally,
benefits,
challenges,
outlook
discussed.
Energies,
Journal Year:
2024,
Volume and Issue:
17(11), P. 2456 - 2456
Published: May 21, 2024
As
the
demand
for
sustainable
energy
solutions
grows,
there
is
a
critical
requirement
continuous
innovation
to
optimize
performance
and
safety
of
renewable
systems
(RESs).
Closed-loop
digital
twins
(CLDTs)—synchronized
virtual
replicas
embedded
with
real-time
data
control
loops
mirror
behavior
physical
systems—have
emerged
as
promising
tool
achieving
this
goal.
This
paper
presents
systematic
literature
review
on
application
twin
(DT)
technology
in
context
RESs
an
emphasis
impact
DTs
efficiency,
performance,
assurance
RESs.
It
explores
concept
CLDTs,
highlighting
their
key
functionalities
potential
benefits
various
technologies.
However,
effective
implementation
requires
structured
approach
integrate
observation,
orientation,
decision,
action
(OODA)
processes.
study
novel
OODA
framework
specifically
designed
CLDTs
systematically
identify
manage
components.
These
components
include
monitoring,
decision-making,
actuation.
The
comparison
carried
out
against
capabilities
DT
utilizing
framework.
By
analyzing
current
literature,
how
empowers
enhanced
reduced
risks,
improved
assurance.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 11, 2025
The
increasing
complexity
of
hydropower
systems
necessitates
advanced
control
strategies
to
optimize
performance
and
enhance
system
reliability.
This
paper
presents
a
novel
approach
that
integrates
Type-2
Fuzzy
Logic
Controllers
(T2FLC),
Digital
Twin
technology,
Neural
Networks
for
comprehensive
management
systems.
proposed
hybrid
aims
improve
load
management,
fault
detection,
operational
efficiency.
Our
method
employs
Controller
handle
uncertainty
imprecision
in
control.
creates
dynamic
simulation
model
the
system,
allowing
real-time
monitoring
predictive
analysis.
further
this
by
providing
insights
based
on
historical
data.
Specifically,
achieved
10.96%
increase
efficiency
12.64%
reduction
detection
time
compared
traditional
methods.
contributed
18.21%
improvement
accuracy,
while
enhanced
decisions,
resulting
8.05%
deviations.
Furthermore,
showed
11.48%
overall
reliability
13.04%
maintenance
costs,
illustrating
practical
benefits
integrating
technologies.
These
results
underscore
effectiveness
combining
T2FLC,
Twin,
Networks,
offering
substantial
advancement
management.
not
only
enhances
but
also
provides
robust
framework
future
advancements
intelligent
strategies.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 5, 2025
Smart
cities
are
designed
to
improve
the
quality
of
life
by
efficiently
using
resources
and
smart
parking
is
an
important
part
this
puzzle
help
alleviate
traffic
congestion
address
energy
consumption
search
time
for
spaces.
However,
existing
management
systems
have
issues
with
resource
management,
system
scalability,
real-time
dynamic
changes.
In
response
these
challenges,
paper
proposes
a
Multi-Objective
Optimization
Framework
Parking
incorporating
Digital
Twin
Technology,
Pareto
Front
Optimization,
Markov
Decision
Process
(MDP),
Particle
Swarm
(PSO).
Hence,
proposed
framework
utilizes
whereby
there
generation
virtual
model
infrastructure
that
can
give
prospective
estimation
entire
system.
The
then
used
multi-objective
optimization
domain,
where
goal
minimize
time,
use
energy,
disruption,
maximize
availability
MDP
splits
allocation
problem
into
value
function
which
requests.
Further,
PSO
refines
solutions
found
from
front
globally
superior
distribution.
evaluated
extensive
simulations
across
multiple
metrics:
level,
utilization.
Evaluation
outcomes
also
show
algorithm
better
than
Round
Robin,
Random
Allocation,
Threshold
Based
algorithms
in
terms
25%
improvement
18%
usage,
30%
less
congestion.
This
work
has
shown
prospects
combining
hybrid
decision-making
enhancement
efficiency
urban
mobility.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(23), P. 16386 - 16386
Published: Nov. 28, 2023
The
paper
focuses
on
the
bibliometric
review
of
Scopus
database
in
field
innovation
ecosystem
development,
aiming
to
reveal
key
trends
this
fast-growing
area
interdisciplinary
research
terms
different
quantitative
and
qualitative
parameters.
analysis
followed
PRISMA
protocol
guidelines
for
finding
extracting
relevant
scholarly
papers
based
selected
national,
institutional,
demographic,
scientific
variables.
procedure
resulted
401
open-access
articles
published
topic
development
from
2013
2023.
findings
indicate
that
has
seen
late
growth,
which
is
a
sign
still
underexplored
fields
potential
pioneers.
Researchers
institutions
Nordic
countries
UK
are
most
active
as
far
publications
concerned.
However,
researchers
USA,
Australia,
dominate
citation
records.
Research
collaborations
help
increase
productivity
levels.
cited
fall
into
4
clusters
citations:
innovation,
smart
tourism,
digitalization,
entrepreneurship.
Future
synergies
can
also
be
envisaged
with
domains
sustainable
environment.
IEEE Open Journal of Power Electronics,
Journal Year:
2024,
Volume and Issue:
5, P. 1045 - 1058
Published: Jan. 1, 2024
The
integration
of
Digital
Twin
(DT)
technology
into
the
photovoltaic
(PV)
sector
represents
a
significant
advancement
in
energy
management,
optimization,
servicing,
and
maintenance.
This
comprehensive
literature
review
aims
to
enhance
understanding,
categorization,
adoption
DT
data
fusion
technologies
within
PV
industry
guide
future
research
endeavors.
categorizes
models
three
types:
digital
models,
shadows,
twins,
based
on
their
connection
attributes.
It
recognizes
as
critical
enabling
for
development
complex
proposes
framework
integrating
with
systems.
A
detailed
examination
prevalent
modeling
methodologies
is
conducted
delineate
advantages
limitations,
serving
valuable
resource
practitioners.
paper
concludes
that
shadows
are
effective
initial
system
forecast
monitoring,
while
fully
integrated
offer
advantages,
including
real-time
analysis,
predictive
capabilities,
active
optimization.
However,
implementing
maintaining
require
advanced
analytics,
high
computational
costs,
robust
security,
presenting
important
challenges
be
addressed
