Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review
Renewable and Sustainable Energy Reviews,
Год журнала:
2023,
Номер
192, С. 114165 - 114165
Опубликована: Дек. 23, 2023
Язык: Английский
Zonal demand-controlled ventilation strategy to minimize infection probability and energy consumption: A coordinated control based on occupant detection
Environmental Pollution,
Год журнала:
2024,
Номер
345, С. 123550 - 123550
Опубликована: Фев. 12, 2024
Язык: Английский
Multi-objective ventilation optimization for indoor air quality, thermal comfort, and energy conservation in the post-pandemic era: A case study for a moving elevator
Physics of Fluids,
Год журнала:
2024,
Номер
36(6)
Опубликована: Июнь 1, 2024
Cases
of
respiratory
disease
transmission
in
enclosed
elevators
have
been
reported
frequently.
In
the
post-pandemic
era,
order
to
mitigate
spread
diseases
moving
elevators,
a
multi-objective
genetic
optimization
method
based
on
response
surface
model
is
used
optimize
elevator
ventilation.
The
ventilation
parameters
were
optimized
for
three
objectives:
reducing
carbon
dioxide
concentration,
maintaining
human
thermal
comfort,
and
achieving
energy
conservation.
First,
established
using
computational
fluid
dynamics
Kriging
correlate
design
variables
(air
supply
velocity
x,
y,
z
directions
air
temperature)
with
output
function
(CO2
average
temperature,
velocity).
Subsequently,
Pareto
optimal
solution
set
was
obtained
by
employing
algorithm.
Finally,
velocity,
angle,
temperature
both
peak
periods
traffic
(13
passengers)
other
situations
(4
when
up
down,
which
satisfy
objectives
health,
Язык: Английский
A Dynamic Cluster-Aware Modeling Approach for Distribution Networks Based on New Energy Intelligent Individuals
Lecture notes in electrical engineering,
Год журнала:
2025,
Номер
unknown, С. 140 - 146
Опубликована: Янв. 1, 2025
Язык: Английский
Numerical investigation and dynamics of pollutant dispersion in underground restroom ventilation
Journal of Building Engineering,
Год журнала:
2024,
Номер
88, С. 109132 - 109132
Опубликована: Март 26, 2024
Язык: Английский
Application of Mixed-Mode Ventilation to Enhance Indoor Air Quality and Energy Efficiency in School Buildings
Energies,
Год журнала:
2024,
Номер
17(23), С. 6097 - 6097
Опубликована: Дек. 4, 2024
Indoor
air
quality
and
energy
efficiency
are
instrumental
aspects
of
school
facility
design
construction,
as
they
directly
affect
the
physical
well-being,
comfort,
academic
output
both
pupils
staff.
The
challenge
balancing
need
for
adequate
ventilation
to
enhance
indoor
with
goal
reducing
consumption
has
long
been
a
topic
debate.
implementation
mixed-mode
systems
automated
controls
presents
promising
solution
address
this
issue.
However,
comprehensive
literature
review
on
subject
is
still
missing.
To
gap,
examines
potential
application
attaining
improved
savings
without
compromising
thermal
comfort
in
educational
environments.
Mixed-mode
systems,
which
combine
natural
mechanical
ventilation,
provide
versatility
alternate
between
or
merge
methods
based
real-time
outdoor
environmental
conditions.
By
analyzing
empirical
studies,
case
theoretical
models,
investigates
efficacy
minimizing
use
enhancing
quality.
Essential
elements
such
operable
windows,
sensors,
sophisticated
control
technologies
evaluated
illustrate
how
dynamically
optimize
sustain
comfortable
healthy
climates.
This
paper
further
addresses
challenges
linked
including
complexities
necessity
climate-adaptive
strategies.
findings
suggest
that
can
considerably
lower
heating,
conditioning
usage,
ranging
from
20%
60%
across
various
climate
zones,
while
also
advanced
data-driven
In
conclusion,
offer
approach
buildings
achieve
effective
sacrificing
environment
Язык: Английский
Temperature Control Response Study of Data Centers Based on Gappy Pod
Опубликована: Янв. 1, 2023
As
the
size
and
load
of
data
centers
continue
to
grow,
how
ensure
stable
operation
center
equipment
has
become
an
important
issue.
Therefore,
this
study
developed
a
“smart
box”
system
for
temperature
prediction
control
response.
A
test
bench
is
also
constructed
verify
reliability
system.
The
Results
show
that
in
six
randomly
selected
working
conditions,
average
errors
predicted
temperatures
ranged
from
1.17%
2.1%.
Furthermore,
able
reduce
time
required
lower
safety
threshold
by
10%
effectively
fluctuation
range
compared
with
fixed
air
volume
through
dynamic
ventilation
control.
result,
it
can
improve
stability
equipment.
In
future,
expected
be
widely
used
field
centers.
Язык: Английский
Temperature Control Response Study of Data Centers Based on Gappy Pod
Опубликована: Янв. 1, 2023
As
the
size
and
load
of
data
centers
continue
to
grow,
how
ensure
stable
operation
center
equipment
has
become
an
important
issue.
Therefore,
this
study
developed
a
“smart
box”
system
for
temperature
prediction
control
response.
A
test
bench
is
also
constructed
verify
reliability
system.
The
Results
show
that
in
six
randomly
selected
working
conditions,
average
errors
predicted
temperatures
ranged
from
1.17%
2.1%.
Furthermore,
able
reduce
time
required
lower
safety
threshold
by
10%
effectively
fluctuation
range
compared
with
fixed
air
volume
through
dynamic
ventilation
control.
result,
it
can
improve
stability
equipment.
In
future,
expected
be
widely
used
field
centers.
Язык: Английский