Indoor and Built Environment,
Journal Year:
2023,
Volume and Issue:
32(7), P. 1335 - 1348
Published: March 2, 2023
The
current
calculation
methods
of
mean
skin
temperature
did
not
work
so
well
in
some
thermal
comfort
evaluations,
especially
under
local
stimulation
or
uniform
environment.
In
this
paper,
a
new
method
for
was
established,
at
the
same
time,
distribution
receptors,
gender
difference,
ambient
and
spots.
A
subject
experiment
conducted
to
validate
method.
three
conditions
with
different
indoor
air
temperatures,
temperatures
given
forehead,
back
sole
feet
10
subjects
winter
24
summer,
respectively.
Results
showed
that
much
higher
accuracy
predicting
subjects’
than
conventional
methods,
females.
This
provides
an
improved
tool
assessment,
it
has
guiding
significance
future
research
on
comfort.
Energy and Built Environment,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 1, 2024
The
role
of
skin
temperature
as
a
determinant
human
thermal
sensation
and
comfort
has
gained
increasing
recognition,
prompting
need
for
systematic
review.
This
review
examines
the
relationship
between
sensation,
synthesizing
insights
from
172
studies
published
since
2000.
It
uniquely
focuses
on
indispensable
roles
local
mean
temperatures,
perspective
not
comprehensively
explored
in
previous
literature.
reveals
that
most
common
measurement
points
are
face
hands,
attributed
to
their
higher
sensitivity
practical
ease
measurement.
establishes
clear
linear
user
though
affected
by
choice
locations
number
points.
A
notable
finding
is
varying
impact
overall
changing
environments,
with
heating
less
influential
than
cooling.
also
uncovers
significant
demographic
variations
strongly
influenced
differing
temperatures
across
age
groups,
genders,
climatic
regions.
For
example,
elderly
populations
exhibit
decreased
sensitivity,
especially
towards
warmth.
Gender
differences
significant,
females
experiencing
warmer
environments
lower
colder
ones.
Machine
learning
(ML)-based
methods,
classification
tree-based
support
vector
machine
(SVM)
techniques,
dominate
predicting
comfort,
leveraging
data.
While
ML
methods
prevalent,
statistical
regression-based
approaches
offer
valuable
empirical
insights.
Thermo-physiological
model-based
provide
reliable
results
incorporating
detailed
dynamics.
identifies
gap
understanding
how
gender,
age,
regional
influence
diverse
environments.
study
recommends
conducting
more
nuanced
experiments
dissect
these
factors
proposes
integration
individual
variables
into
models
personalize
predictions.
Energy and Built Environment,
Journal Year:
2023,
Volume and Issue:
5(6), P. 829 - 839
Published: June 28, 2023
Thermal
environment
may
affect
sleep
quality
and
sleeping
thermal
comfort
at
the
same
time.
Up
to
now,
there
is
no
direct
evidence
or
physiological
theory
can
prove
idea
that
equal
good
quality,
but
how
balance
relationship
between
them
often
ignored
when
designing
environment.
This
review
took
body
temperature
distribution
as
a
bridge
for
connection
of
comfort.
At
first,
we
reviewed
quantitative
relationships
among
environment,
temperature,
comfort,
then
based
on
reverse
derivation,
recommended
design
process
bedroom
was
proposed.
Each
step
corresponded
impact
mechanism
described
above.
The
results
showed
that,
closely
related
both
thus
it
suitable
be
used
them;
temperatures
fluctuated
dynamically
during
sleep,
heat
transfer
regulation
models
should
describe
most
current
researches
regarded
skin
representative
value
distribution,
yet
core
needs
paid
more
attention
in
future
because
rhythm;
furthermore,
addition
young
people,
subjects
age
groups
tested
enrich
China's
research
database.
In
general,
it's
theoretically
possible
guarantee
this
reliable
reference
design.
