Buildings,
Journal Year:
2024,
Volume and Issue:
14(11), P. 3562 - 3562
Published: Nov. 8, 2024
This
study
explores
the
impact
of
Indoor
Environment
Quality
(IEQ)
on
health
and
productivity
office
workers
in
an
building
Fujisawa,
Kanagawa,
Japan.
Previous
studies
have
shown
that
IEQ
can
affect
physiological
responses
occupants,
such
as
skin
temperature,
heart
rate,
metabolic
which
are
indicators
productivity.
However,
most
took
place
controlled
laboratory
environments,
may
not
accurately
represent
real-life
experiences.
The
collected
subjective
objective
data
from
actual
occupied
space,
including
perceptions
IEQ,
health,
productivity,
measurements
parameters
thermal
environment,
light
indoor
air
quality,
acoustics.
used
correlation
linear
regression
methods
to
examine
relationship
between
data,
stable
environment
low
physical
intensity
work
contribute
weak
responses,
health–productivity
variables.
results
this
provide
insights
into
how
affects
psychological
well-being,
performance
real-world
settings.
SSRN Electronic Journal,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
This
research
paper
offers
a
thorough
examination
of
strategies
geared
towards
enhancing
thermal
comfort
within
constructed
spaces
through
the
incorporation
state-of-the-art
design,
monitoring,
and
optimization
technologies.
In
light
escalating
challenges
brought
about
by
climate
change
increasing
demand
for
sustainable
energy-efficient
building
solutions,
quest
improved
has
emerged
as
central
focus
in
architectural
engineering
research.
The
initiates
its
exploration
delving
into
contemporary
design
principles
that
underscore
significance
passive
strategies,
such
optimal
orientation,
shading
devices,
natural
ventilation.
It
elucidates
synergies
between
elements
comfort,
emphasizing
how
innovative
designs
can
foster
ideal
indoor
conditions
while
reducing
reliance
on
energy-intensive
heating,
ventilation,
air
conditioning
(HVAC)
systems.
A
substantial
segment
review
is
dedicated
to
monitoring
technologies
enabling
real-time
assessment
environmental
parameters.
integration
sensors,
data
analytics,
Building
Information
Modelling
(BIM)
facilitates
nuanced
comprehension
dynamics,
allowing
adaptive
responses
evolving
conditions.
discusses
role
wearable
devices
occupant
feedback
systems
capturing
subjective
perceptions,
thereby
enriching
pool
more
comprehensive
analysis.
Moreover,
delves
burgeoning
field
technologies,
encompassing
utilization
machine
learning
algorithms
artificial
intelligence
management
These
empower
predictive
modeling
optimizing
HVAC
operations,
minimizing
energy
consumption.
synthesis
these
not
only
enhances
well-being
but
also
aligns
with
global
endeavours
forge
resilient
built
environments
amid
challenges.
