Forests,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1880 - 1880
Published: Oct. 25, 2024
Trees
positively
improve
the
annual
thermal
comfort
of
built
environment
in
tropical
areas,
where
climate
change
is
slight
throughout
year.
However,
for
areas
with
high
changes
all
year,
current
studies
have
only
explored
summer
cooling
performance
trees
without
impact
different
types
on
comfort,
especially
cold
seasons.
Therefore,
to
quantify
impacts
and
scientifically
guide
optimization
green
space
layout
hot
winter
this
study
selected
Changsha
City
as
area
analyzed
how
affected
by
evergreen
deciduous
trees,
which
are
two
common
areas.
The
analytical
results
indicated
that
difference
effect
outdoor
was
insignificant
summer,
monthly
mean
PET
three
months
slight,
being
0.28
°C,
0.14
0.29
respectively.
greatly
exacerbated
compared
a
decrease
nearly
1.0
°C
an
hourly
reduced
up
3.57
°C.
mainly
attributed
absorption
reflection
solar
radiation
tree
canopy,
well
humidifying
leaf.
In
still
“comfortable”
“slightly
warm”
acceptable
stage
despite
warming
spring
autumn
Planting
inevitable
mitigation
choice
change,
such
China,
empirical
planting
patterns
selecting
appropriate
will
year-round
comfort.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(6), P. 2724 - 2724
Published: March 19, 2025
Climate
change
is
increasingly
affecting
the
livability
and
functionality
of
urban
environments,
particularly
public
open
spaces
(POSs),
impacting
user
behavior
in
complex
ways
that
require
a
comprehensive,
multi-perspective
approach
to
understanding.
This
study
reviews
current
progress,
methodologies,
findings
POS
research
by
proposing
critical
analytical
framework
focused
on
key
spatial
temporal
factors
contribute
design
climate
adaptive
solutions.
Overall,
62
significant
influencing
were
identified
categorized
into
four
subject
areas,
environmental
factors,
attributes,
population
society,
behavioral
perceptions,
which
further
divided
12
themes.
These
analyzed
through
two-dimensional
using
co-occurrence
matrix
examine
interactions.
The
reveal
dimensions
do
not
operate
independently
but
interact
significantly
influence
usability.
also
indicate
such
as
temperature,
solar
radiation
intensity,
wind
speed
when
combined
with
like
site
facilities,
greenness,
walkability.
Understanding
these
interactions
essential
for
optimizing
enhance
adaptability
long-term
By
promoting
principles
based
empirical
research,
this
review
offers
insights
practical
guidance
future
planning
address
change.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(21), P. 9324 - 9324
Published: Oct. 27, 2024
As
the
global
energy
demand
rises
and
climate
change
creates
more
challenges,
optimizing
performance
of
non-residential
buildings
becomes
essential.
Traditional
simulation-based
optimization
methods
often
fall
short
due
to
computational
inefficiency
their
time-consuming
nature,
limiting
practical
application.
This
study
introduces
a
new
framework
that
integrates
Bayesian
optimization,
XGBoost
algorithms,
multi-objective
genetic
algorithms
(GA)
enhance
building
metrics—total
(TE),
indoor
overheating
degree
(IOD),
predicted
percentage
dissatisfied
(PPD)—for
historical
(2020),
mid-future
(2050),
future
(2080)
scenarios.
The
employs
IOD
as
key
indicator
(KPI)
optimize
design
operation.
While
traditional
indices
such
mean
vote
(PMV)
thermal
sensation
(TSV)
are
widely
used,
they
fail
capture
individual
comfort
variations
dynamic
nature
conditions.
addresses
these
gaps
by
providing
comprehensive
objective
measure
discomfort,
quantifying
both
frequency
severity
events.
Alongside
IOD,
use
intensity
(EUI)
index
is
used
assess
consumption
per
unit
area,
critical
insights
into
efficiency.
integration
with
EUI
PPD
enhances
overall
assessment
performance,
creating
precise
holistic
framework.
combination
ensures
efficiency,
comfort,
occupant
well-being
optimized
in
tandem.
By
addressing
significant
gap
existing
methodologies,
current
approach
combines
advanced
techniques
modern
simulation
tools
EnergyPlus,
resulting
efficient
accurate
model
performance.
reduces
time
Utilizing
SHAP
(SHapley
Additive
Explanations)
analysis,
this
research
identified
factors
influence
metrics.
Specifically,
window-to-wall
ratio
(WWR)
impacts
TE
increasing
through
higher
heat
gain
cooling
demand.
Outdoor
temperature
(Tout)
has
complex
effect
on
depending
seasonal
conditions,
while
(Tin)
minor
impact
TE.
For
PPD,
Tout
major
negative
factor,
indicating
improved
natural
ventilation
can
reduce
whereas
Tin
larger
open
areas
exacerbate
it.
Regarding
WWR
significantly
affect
internal
gains,
windows
temperatures
contributing
increased
reduced
comfort.
also
positive
its
varying
over
time.
demonstrates
conditions
evolve,
effects
become
pronounced,
highlighting
need
for
effective
management
envelopes
HVAC
systems.
