Sustainability,
Год журнала:
2023,
Номер
15(24), С. 16619 - 16619
Опубликована: Дек. 6, 2023
Effective
indoor
thermal
controls
can
have
quantifiable
advantages
of
improving
energy
efficiency
and
environmental
quality,
which
also
lead
to
additional
benefits
such
as
better
workability,
productivity,
economy
in
buildings.
However,
the
case
factory
buildings
whose
main
usage
is
produce
process
goods,
securing
comfort
for
their
workers
has
been
regarded
a
secondary
problem.
This
study
aims
explore
method
cooling
heating
air
supply
improve
by
use
data-driven
adaptive
model.
The
genetic
algorithm
using
idea
occupancy
rate
helps
model
effectively
analyze
environment
determine
optimized
conditions
comfort.
As
result,
proposed
successfully
shows
performance,
confirms
that
there
2.81%
saving
consumption
16–32%
reduction
dissatisfaction.
In
particular,
significance
this
dissatisfaction
be
reduced
simultaneously
despite
precise
air-supply
are
performed
response
building,
weather,
rate.
Journal of Building Engineering,
Год журнала:
2024,
Номер
87, С. 109081 - 109081
Опубликована: Март 18, 2024
Thermal
sensitivity
directly
impacts
occupants'
comfort
by
influencing
neutral
temperatures
and
models.
The
Griffiths
method,
commonly
used
to
derive
thermal
sensitivity,
often
assumes
a
constant
value
of
0.5°C-1
for
calculating
temperatures.
However,
it
is
important
note
that
can
vary
depending
on
factors
such
as
building
type,
climatic
conditions,
operation
mode
(i.e.,
natural
ventilation,
mechanical
or
mixed
mode),
age.
This
study
aims
define
whether
age-dependent
differences
in
exist
schools,
achieved
through
the
formulation
specific
coefficients
each
educational
stage.
A
field
was
conducted
naturally
ventilated
classrooms
within
same
climate
zone,
collecting
1548
subjective
responses
objective
measurements
from
students
across
different
stages.
results
demonstrate
schools
lower
than
assumed
values,
especially
primary
(0.085°C-1),
increases
with
students'
variation
reflected
corresponding
temperatures,
which
also
increase
Using
coefficient
lead
significant
estimation
errors
temperature,
potentially
up
1
°C,
impacting
both
energy
consumption.
emphasizes
there
are
expectations
related
To
improve
reliability
adaptive
models
ensure
accurate
estimations,
essential
future
research
consider
age
when
evaluating
sensitivity.
Sustainability,
Год журнала:
2024,
Номер
16(8), С. 3432 - 3432
Опубликована: Апрель 19, 2024
Building
performance
prediction
is
a
significant
area
of
research,
due
to
its
potential
enhance
the
efficiency
building
energy
management
systems.
Its
importance
particularly
evident
when
such
predictions
are
validated
against
field
data.
This
paper
presents
an
intelligent
computational
model
combining
Monte
Carlo
analysis,
Energy
Plus,
and
artificial
neural
network
(ANN)
refine
consumption
thermal
comfort
predictions.
addresses
various
combinations
architectural
design
parameters
their
distributions,
effectively
managing
complex
non-linear
relationships
between
response
variables
predictors.
The
model’s
strength
demonstrated
through
alignment
with
R2
values
exceeding
0.97
for
both
discomfort
hours
during
training
testing
phases.
Validation
investigation
data
further
confirms
accuracy,
demonstrating
average
relative
errors
below
2.0%
total
1.0%
hours.
In
particular,
underestimation
−12.5%
in
discrepancies
observed
comparing
simulation
data,
while
presented
smaller
overestimation
error
(of
+8.65%)
discrepancy
highlights
reliability
real-world
metrics,
marking
it
as
valuable
tool
practitioners
researchers
sustainability.
Energy and Buildings,
Год журнала:
2024,
Номер
321, С. 114663 - 114663
Опубликована: Авг. 14, 2024
Accurate
thermal
comfort
prediction
is
essential
for
enhancing
both
and
energy
efficiency
in
buildings.
The
heat
balance
adaptive
models,
while
widely
used,
have
been
often
questioned
relation
to
their
strengths
limitations.
To
overcome
these
challenges,
a
comprehensive
understanding
of
the
physical
parameters
influencing
exchange
occupants'
capacities
essential.
This
study
introduces
an
analytical
method
formulate
new
model,
adPMV,
which
integrates
models
considering
various
perception.
model
PMV
with
factor
associated
running
mean
outdoor
temperature,
line
theory.
Tested
on
1377
samples
from
European
university
classrooms,
adPMV
demonstrates
enhanced
accuracy
(MAE=0.74,
RMSE=1.01,
MBE=-0.11)
compared
other
models.
Validation
naturally
ventilated
classrooms
ASHRAE's
databases
further
confirms
promising
results,
showcasing
reduced
error
indices
(MAE=0.68,
RMSE=0.81,
MBE=-0.03).
Notably,
using
setpoints
not
only
improves
sensation
but
also
leads
substantial
reduction
heating
demand,
reaching
up
40
%.
adaptability
this
different
contexts,
such
as
building
types,
climates,
HVAC
system
operations,
presents
it
versatile
tool
exploring
principles.
Sustainable Engineering and Innovation ISSN 2712-0562,
Год журнала:
2023,
Номер
5(2), С. 177 - 188
Опубликована: Дек. 18, 2023
Over
the
years,
climate
change
has
generated
an
increase
in
average
temperature
of
planet,
which
led
to
greater
consumption
electrical
energy
for
use
air
conditioning
systems.
Insulating
envelope
materials
are
considered
a
viable
passive
solution
as
they
offer
internal
conditioning,
cooling,
and/or
heating
buildings
that
lead
thermal
comfort
with
reduced
consumption.
This
article
compares
application
different
insulating
existing
single-family
home
located
hot-dry
climate.
To
this
end,
procedural
methodology
been
applied
by
carrying
out
bibliographic
review
involutes
currently
used
construction
and
14
models
proposed
will
be
simulated
under
same
input
variables
base
model
meteorological
data
city
Bucaramanga
validated
from
station
on
site.
The
results
simulations
show
all
decrease
reference
"base
model";
difference
can
explained
presence
selected
slightly
properties
wall.
Finally,
research
allowed
us
determine
occupants
spaces
inside
range
61.96%,
represents
5,438
hours
modeled
year,
having
38.03%
discomfort
measured
time.
study
useful
selection
envelopes
cooling
requirements.
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction,
Год журнала:
2024,
Номер
177(4), С. 246 - 251
Опубликована: Фев. 22, 2024
The
thermal
comfort
of
rural
residents
is
a
major
issue
related
to
people’s
livelihood.
Due
differences
in
climatic
factors
(e.g.
local
climate)
and
non-climatic
(such
as
building
structures,
economic
social–cultural
levels,
living
habits
availability
environmental
control)
between
urban
areas,
participants
have
different
requirements
for
given
environment.
This
difference
means
that
standards
consider
only
conditions
may
not
be
applicable
situations.
Therefore,
field
study
was
conducted
on
the
traditional
residential
houses
with
natural
ventilation
located
areas
northern
Guizhou,
China.
aims
understand
indoor
perceptions
occupants
total
513
subjects
participated
questionnaire
survey.
Most
survey
respondents
accept
environment
which
they
reside,
even
if
temperature
within
recommended
range
specified
by
international
such
Ashrae
55.
adaptive
predicted
mean
vote
established
using
least-squares
method.
coefficient
λ
representing
capacity
twice
Chinese
standard,
GB/T
50785-2012.
confirms
stronger
adaptability
cold
winter.
findings
are
beneficial
improving
carbon
dioxide
emission
reduction
