Energies,
Год журнала:
2024,
Номер
17(20), С. 5053 - 5053
Опубликована: Окт. 11, 2024
While
aspects
of
indoor
environmental
quality,
such
as
thermal
comfort,
air
quality
(IAQ),
acoustic,
and
visual
are
usually
studied
separately,
their
interactions
crucial
yet
often
overlooked.
Understanding
how
these
factors
influence
each
other
is
essential
for
a
comprehensive
perception
the
environment.
This
paper
investigates
relationship
between
(IAQ)
comfort
using
an
extensive
field
investigation
conducted
in
university
classrooms
during
heating
season,
collecting
712
samples
subjective
responses
correlated
with
measurements.
Key
findings
reveal
significant
correlations
related
to
environment
those
quality.
Perceived
control
over
shows
stronger
IAQ
than
responses,
particularly
perceived
ventilation
(r
=
0.41),
COVID-19
risk
0.28),
0.28).
Additionally,
parameters
demonstrate
responses.
Higher
CO2
concentration
associated
increased
sensation
decreased
preference
control.
Conversely,
remain
relatively
stable
changes
operative
temperature.
The
difference
temperature
which
occupants
exposed
expressed
neutral
widens
rises,
indicating
reduced
adaptive
capacity
increasing
levels.
These
insights
providing
HVAC
system
management
strategies
that
consider
interaction
different
IEQ,
aiming
improve
occupants’
well-being
reduce
energy
consumption.
Journal of Building Engineering,
Год журнала:
2024,
Номер
84, С. 108677 - 108677
Опубликована: Янв. 29, 2024
Indoor
thermal
conditions
are
essential
in
educational
buildings.
The
health
and
well-being
of
students
can
be
affected
by
a
poor
environment,
which
also
has
clear
impact
on
building
energy
consumption.
In
this
context,
the
indoor
environment
naturally
ventilated
university
classrooms
is
explored
study
during
complete
academic
year.
A
monitoring
campaign
questionnaire
survey
were
conducted
simultaneously
higher
education
buildings
Spain.
total
2115
sets
data
collected.
Thermal
sensation
prediction
indices
(predicted
mean
vote,
extended
predicted
vote
adaptive
vote)
applied
to
evaluate
student’s
perception
their
accuracy
was
assessed.
Additionally,
two
machine-learning
models,
based
Artificial
neural
network
(ANN)
random
forest
(FR)
algorithms,
formulated
predict
occupants’
sensation.
obtained
results
evidenced
that
proposed
ANN
RF
models
outperform
traditional
indices.
Finally,
it
an
comfort
model.
suggest
have
greater
capacity
changes
environmental
than
suggested
ASHRAE-55
model
they
preferred
with
lower
temperatures
those
EN-16798
Energy and Buildings,
Год журнала:
2024,
Номер
308, С. 114022 - 114022
Опубликована: Фев. 17, 2024
The
quality
of
the
indoor
thermal
environment
is
essential
because
its
impact
on
energy
efficiency
buildings
and
health
well-being
those
who
occupy
them.
This
particularly
important
in
educational
direct
student
performance.
Various
factors,
such
as
natural
ventilation,
have
become
relevant
since
COVID-19.
Although
this
measure
no
longer
mandatory,
usefulness
has
been
proven,
it
therefore
interesting
to
evaluate
understand
comfort
classrooms.
In
addition
other
aspects
clothing,
gender
habits
can
also
influence
perception
occupants.
Therefore,
study
investigates
these
factors
university
Spain
Portugal
through
a
campaign
measurements
questionnaires.
results
showed
that,
according
CO2
concentrations,
ventilation
strategies
maintained
more
than
Portugal.
Also,
protocols
did
not
negative
effect
On
hand,
there
were
significant
differences
between
student's
responses
two
countries.
fact,
Portuguese
students
warmer
preferences
(Tn
=
26.40
°C)
Spanish
24.70
°C).
Finally,
clothing
crucial
factor
comfort,
with
by
country
gender.
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.
Total Environment Research Themes,
Год журнала:
2023,
Номер
8, С. 100083 - 100083
Опубликована: Окт. 7, 2023
Thermal
comfort
prediction
is
an
important
issue,
as
it
can
largely
influence
occupants'
well-being
and
buildings'
energy
consumption.
Nowadays,
models
used
to
assess
thermal
have
been
increasingly
discussed,
a
growing
number
of
data-driven
with
several
input
parameters
developed.
Although
these
allow
reasonably
accurate
predictions
comfort,
using
complex
algorithms
determine
might
be
unsuitable
for
some
use
cases,
such
quick
estimations
or
real-time
control
Heating
Ventilation,
Air
Conditioning
(HVAC)
systems.
In
this
paper,
model
was
developed
based
on
61710
samples
subjective
responses
associated
environmental
from
field
studies
available
in
two
ASHRAE
databases.
Two
resulted
analysis,
one
higher
accuracy
simplified,
which
improved
the
comparison
other
regression
PMV.
However,
since
cannot
conceived
punctual
condition,
areas
were
derived,
i.e.,
respective
ranges
at
90%,
80%,
70%
acceptability.
The
result
that
error
new
below
90%
acceptable
range,
means
models'
does
not
lead
reduction
evaluation
occupant
comfort.
Built
upon
influential
parameters,
enable
estimates
occupant-cantered
HVAC
control.
notion
non-fixed
state
empowers
more
flexible
building
management
criteria,
reducing
while
upholding
indoor
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.
Indoor and Built Environment,
Год журнала:
2024,
Номер
33(8), С. 1380 - 1396
Опубликована: Март 22, 2024
The
assessment
of
indoor
environmental
conditions
educational
buildings
is
not
only
essential
to
ensure
the
correct
performance
heating,
cooling
and
ventilation
systems
but
it
also
fundamental
guarantee
a
suitable
environment.
This
study
aims
analyse
thermal
comfort
students
in
teaching–learning
spaces
university
with
natural
ventilation.
A
field
measurement
campaign
questionnaire
survey
were
carried
out
from
September
2021
June
2022
southern
Spain.
collected
data
analysed
neutral
temperature
each
season
was
obtained,
based
on
sensation
votes
1966.
temperatures
found
this
23.5°C,
23.1°C,
23.3°C
23.9°C,
for
autumn,
winter,
spring
summer,
respectively.
ranges
obtained
90%
acceptability
winter
(21.1°C–25.1°C)
provided
lower
limits
than
summer
months
(22.6°C–25.3°C).
highest
values
clothing
insulation
autumn
(0.90
clo)
(0.75
seasons,
compared
(0.5
(0.4
seasons.
An
adaptive
model
applied.
These
findings
could
be
used
improve
optimise
energy
consumption
according
students’
actual
perception.