Journal of Building Performance Simulation,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 28
Published: Dec. 30, 2024
Despite
recent
progress
in
the
field
of
urban
building
energy
modelling
(UBEM),
integration
occupant
behaviour
models
is
still
an
area
need
development.
Although
abundant
for
(BEM),
stochastic
occupancy
tailored
urban-level
simulations
are
lacking,
as
well
systematic
analyses
accuracy
versus
complexity.
Occupancy
aimed
BEM
typically
introduce
a
heavy
computational
load,
but
small
reduction
might
allow
large
increase
speed.
This
paper
proposes
methods
scaling
up
Markov-chain
(MC)
previously
developed
to
fit
UBEM,
and
compares
them
terms
efficiency.
For
scales
normally
involved
UBEM
(tens
hundreds
occupants
per
zone
hourly
time
resolution),
model
based
on
multinomial
sampling
proposed
that
several
hundred
times
faster
than
original
MC
only
slightly
overestimates
variability
patterns.
Renewable and Sustainable Energy Reviews,
Journal Year:
2023,
Volume and Issue:
185, P. 113558 - 113558
Published: Aug. 3, 2023
Occupant
Behavior
(OB)
is
one
of
the
major
drivers
building
energy
consumption.
However,
OB
usually
oversimplified
in
Building
Performance
Simulation
(BPS),
resulting
a
significant
performance
gap
between
actual
and
simulated
use.
Thus,
understanding
true
nature
its
accurate
representation
within
BPS
crucial.
Despite
existence
many
review
articles
that
focus
on
several
aspects
OB,
vast
majority
reviews
are
centered
specific
aspect
modeling,
scattering
main
findings
among
various
studies.
The
literature
still
lacks
comprehensive
compiles
analyzes
recent
studies
each
stage
such
as
data
collection
analysis,
integration
models
into
BPS,
validation,
presentation
suitable
format.
To
this
end,
present
summarizes,
compiles,
every
presents
an
up-to-date
evaluation
multiple
facets
modeling
BPS.
It
aims
to
development
implementation
steps
model
tools.
A
general
outline
characterizing
recommended
workflow
for
described.
brief
categorization
methods
used
presented.
Common
quantitative
approaches
i.e.,
Stochastic,
Statistical,
Data
mining,
Agent-based
methods,
elucidated.
applications,
advantages,
limitations
discussed.
available
influence
different
patterns
occupants'
interaction
with
systems,
cooling,
lighting,
shading,
appliances,
evaluated.
In
brief,
study
provides
offering
valuable
insights
both
academic
researchers
industrial
professionals
aid
them
choosing
adopting
correct
strategies
accurately
incorporate
it
Climate,
Journal Year:
2023,
Volume and Issue:
11(9), P. 184 - 184
Published: Sept. 7, 2023
The
interest
in
sustainability
and
energy
efficiency
is
constantly
increasing,
the
noticeable
effects
of
climate
change
rising
prices
are
fueling
this
development.
residential
sector
one
most
energy-intensive
sectors
plays
an
important
role
shaping
future
consumption.
In
context,
modeling
has
been
extensively
employed
to
identify
relative
key
drivers,
evaluate
impact
different
strategies
reduce
consumption
emissions.
This
article
presents
a
detailed
literature
review
approaches
techniques
use,
including
case
studies
assess
predict
patterns
sector.
purpose
not
only
research
date
field,
but
also
possible
challenges
opportunities.
Mobility,
electrical
devices,
cooling
heating
systems,
storage
production
technologies
will
be
subject
presented
research.
Furthermore,
upgrades
buildings,
their
classification,
as
well
labels
electric
appliances
discussed.
Previous
provided
valuable
insights
into
application
address
complexities
paper
offers
thorough
resource
for
researchers,
stakeholders,
other
parties
interested
promoting
sustainable
practices.
information
gathered
can
contribute
development
effective
reducing
facilitating
energy-efficient
renovations,
helping
promote
greener
more
domain.
Buildings,
Journal Year:
2023,
Volume and Issue:
13(11), P. 2675 - 2675
Published: Oct. 24, 2023
Urban
building
energy
modeling
(UBEM)
has
attracted
wide
attention
to
the
requirement
for
global
carbon
emission
reduction.
This
paper
presents
a
UBEM
tool,
AutoBPS-Param,
generate
models
(BEMs)
with
parameterized
geometry
and
detailed
thermal
zones,
especially
complex
types,
considering
shading
effect
from
surrounding
buildings
simultaneously.
Three
number
scales
four
scenarios
were
analyzed
in
hotel-related
Changsha,
China.
For
prototype
of
Scenario
1,
eighteen
six
types
three
vintages
created,
their
simulation
results
aggregated
based
on
representative
floor
areas.
AutoBPS-Param
4,
method
created
one
EnergyPlus
(Version:
9.3.0)
model
each
building.
The
was
scaled
modified
target
building’s
length,
width,
stories.
also
added
better
capture
urban
dynamic
impact.
showed
that
annual
electricity
natural
gas
use
intensity
(EUI)
pre-2005
HotelOffice
172.25
140.45
kWh/m2.
In
contrast,
method,
EUIs
71
constructed
before
2005
ranged
159.51
213.58
kWh/m2
an
average
173.14
kWh/m2,
68.02
229.12
108.89
proposed
can
diversity
consumption.
