Moving Forward in Effective Deployment of the Smart Readiness Indicator and the ISO 52120 Standard to Improve Energy Performance with Building Automation and Control Systems
Energies,
Год журнала:
2025,
Номер
18(5), С. 1241 - 1241
Опубликована: Март 3, 2025
The
transition
towards
energy-efficient
and
sustainable
buildings
is
a
cornerstone
of
global
efforts
to
combat
climate
change.
Building
automation
control
systems
(BACSs),
standardized
under
EN
ISO
52120,
the
Smart
Readiness
Indicator
(SRI)
have
emerged
as
pivotal
tools
for
optimizing
energy
performance,
integrating
smart
technologies,
enhancing
building
adaptability.
This
review
provides
comprehensive
analysis
current
research
landscape
practical
applications
these
frameworks,
focusing
on
their
role
in
advancing
efficiency,
occupant
comfort,
environmental
sustainability.
Key
contributions
include
an
exploration
challenges
SRI
evaluation,
considering
limitations
simplified
methods,
need
long-term
validation,
gaps
advanced
functions.
study
emphasizes
innovative
solutions
adapting
assessments
diverse
types,
conditions,
regulatory
frameworks.
Furthermore,
it
presents
original
insights
into
leveraging
including
information
modeling
(BIM)
digital
twins
(DTs),
refine
evaluation
methods
optimize
BACS
designs.
These
findings
contribute
development
sustainable,
intelligent
that
align
with
EU
goals.
authors
conclude
by
highlighting
promising
directions
future
further
enhance
strategic
facility
management
practices.
Язык: Английский
AI-Driven Digital Twins for Enhancing Indoor Environmental Quality and Energy Efficiency in Smart Building Systems
Buildings,
Год журнала:
2025,
Номер
15(7), С. 1030 - 1030
Опубликована: Март 24, 2025
Smart
buildings
equipped
with
diverse
control
systems
serve
the
objectives
of
gathering
data,
optimizing
energy
efficiency
(EE),
and
detecting
diagnosing
faults,
particularly
in
domain
indoor
environmental
quality
(IEQ).
Digital
twins
(DTs)
offering
an
environmentally
sustainable
solution
for
managing
facilities
incorporated
artificial
intelligence
(AI)
create
opportunities
maintaining
IEQ
EE.
The
purpose
this
study
is
to
assess
impact
AI-driven
DTs
on
enhancing
EE
smart
building
(SBS).
A
scoping
review
was
performed
establish
theoretical
background
about
DTs,
AI,
IEQ,
SBS,
semi-structured
interviews
were
conducted
specialists
industry
obtain
qualitative
quantitative
data
gathered
via
a
computerized
self-administered
questionnaire
(CSAQ)
survey,
focusing
how
can
improve
SBS.
results
indicate
that
DT
enhances
occupants’
comfort
energy-efficiency
performance
enables
decision-making
automatic
fault
detection
maintenance
conditioning
buildings’
serviceability
real
time,
response
key
industrial
needs
management
(BEMS)
interrogative
predictive
analytics
maintenance.
integration
AI
presents
transformative
approach
improving
practical
implications
advancement
span
across
design,
construction,
policy
domains,
significant
challenges
need
be
carefully
considered.
Язык: Английский
Building Information Modeling and Digital Twin Approaches in Building Automation and Distributed IoT Networks – Review and New Challenges Discussion
Опубликована: Май 27, 2024
Modern
building
automation
systems
implement
plenty
of
advanced
control
and
monitoring
functions
considering
various
parameters
like
users’
activity,
lighting,
temperature
changes
etc.
Moreover,
new
solutions
based
on
Internet
Things
cloud
services
are
also
being
developed
for
smart
buildings
to
ensure
comfort
use,
user
safety,
energy
efficiency
improvements
integration
with
grids
city
platforms.
Such
a
wide
spectrum
technologies
requires
approach
in
design
provide
effective
way
their
implementation
flexibility
during
operation.
At
the
same
time,
operation
industries,
tools
information
modeling
digital
twins
developed.
In
this
paper,
authors
discuss
development
directions
application
areas
these
solutions,
identifying
trends
possibilities
use
homes
buildings.
particular,
focus
is
procedures
selecting
functions,
integration,
interoperability
management
organization
prediction
mechanisms
dynamic
functional
networks.
Chosen
should
consider
requirements
from
EN
ISO
52120
standard
guidelines
defined
Smart
Readiness
Indicator.
Язык: Английский