Building Simulation,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 18, 2024
Abstract
European
directives
advocate
for
end-users
to
be
aware
of
their
energy
consumption.
However,
individual
monitoring
tools,
such
as
meters
or
cost
allocators,
are
not
always
affordable
technically
feasible
install.
Therefore,
the
development
virtual
tools
that
enable
study
consumption
in
existing
buildings
is
necessary.
Virtual
sensors,
particularly
based
on
white-box
models,
offer
opportunity
recreate
these
behaviours.
When
calibrated
with
measured
data,
which
incorporate
detailed
building
physics,
become
increasingly
valuable
designing
energy-efficient
buildings.
This
research
explores
a
novel
approach
identifying
building’s
load
period
directly
from
data
generated
by
models.
The
volume
models
can
overwhelming
visual
analysis,
but
hypothesis
here
analysing
this
through
clustering
techniques
reveal
patterns
related
occupant
behaviour
and
operational
schedules.
By
feeding
indoor
temperature
into
model
resulting
outputs,
proposes
method
identify
heating,
ventilation
air
conditioning
(HVAC)
system
operation
schedule,
free
oscillation
periods
non-recurrent
events.
Validation
achieved
comparing
identified
actual
data.
methodology
enables
sensor
allocation,
minimises
need
physical
deployment
while
complying
Union
directives.
only
demonstrates
high
accuracy
also
potential
outperform
schedule.
suggests
ability
missing
other
factors
affecting
curves,
enabling
fault
detection
diagnostics
(FDD).
Consequently,
opens
doors
setting
optimised
schedules
balance
efficiency
comfort.
Journal of Building Performance Simulation,
Год журнала:
2025,
Номер
unknown, С. 1 - 26
Опубликована: Янв. 6, 2025
This
contribution
introduces
an
airflow
zonal
model
(AZM)
for
block-scale
urban
environments,
designed
to
assess
key
climatic
variables
involved
in
heat
stress
wind-driven
configurations.
The
relies
on
prior
steady
CFD
calculations
using
the
RANS
realizable
k−ϵ
turbulence
and
linear
interpolation
predict
average
mass
flow
rates,
wind
speeds,
convective
transfer
coefficients,
pressure
coefficients.
Dynamic
energy
balances
are
solved
each
airzone.
validity
of
setting
is
established
by
comparing
simulation
results
with
experimental
data
isolated
cube.
A
case
study
a
building
block
illustrates
AZM's
ability
replicate
patterns
consistent
CFD,
emphasizing
impact
geometry
thermal
properties
spatial
temporal
distribution
air
temperature,
velocity,
mean
radiant
temperature.
AZM
offers
computationally
efficient
alternative
enabling
simulations
over
seasonal
timescales.
Energies,
Год журнала:
2025,
Номер
18(3), С. 692 - 692
Опубликована: Фев. 2, 2025
This
study
presents
a
novel
framework
for
city-level
energy
planning
and
retrofitting,
tailored
to
Danish
cities
neighborhoods.
The
addresses
the
challenges
of
large-scale
urban
modeling
by
integrating
automated
processes
data
collection,
demand
prediction,
renewable
integration.
It
combines
open-source
simulation
tools
validated
datasets,
enabling
efficient
scalable
predictions
performance
across
areas,
including
streets,
districts,
entire
cities,
with
minimal
user
input.
key
components
include
collection
modeling,
resource
estimation,
gap
evaluation,
design
retrofitting
strategies
DanCTPlan
tool,
developed
based
on
this
framework,
was
applied
two
case
studies
in
Denmark:
single
street
101
buildings
district
comprising
five
streets
1284
buildings.
In
single-street
case,
all
meet
current
regulations
resulted
60.8%
reduction
heat
5.8%
electricity
demand,
significant
decreases
peak
demands.
district-level
measures
led
29.5%
2.4%
demand.
Renewable
scenarios
demonstrated
that
photovoltaic
systems
supplying
30%
solar
thermal
meeting
10%
heating
would
require
capacities
2218
kW
3540
kW,
respectively.
framework’s
predictive
capabilities
flexibility
position
it
as
robust
tool
support
decision-makers
developing
sustainable
cost-effective
strategies,
paving
way
toward
establishing
energy-efficient
positive
districts.
