Energies,
Journal Year:
2024,
Volume and Issue:
17(20), P. 5192 - 5192
Published: Oct. 18, 2024
Enhancing
the
energy
efficiency
and
climate
resilience
of
existing
buildings
is
crucial
amid
growing
environmental
challenges.
While
extensive
research
has
focused
on
non-residential
buildings,
studies
thermo-hygrometric
conditions
in
warehouse-type
particularly
subtropical
climates,
remain
limited.
This
study
investigated
impact
building
envelope
deficiencies
indoor
thermal
moisture
regulation
at
Nori
Distribution
Center.
Using
infrared
imaging
long-term
monitoring,
significant
fluctuations
were
identified,
primarily
due
to
design
construction
deficiencies.
Poor
insulation,
inadequate
sealing,
lack
barriers
contributed
unstable
temperature
humidity.
Seasonal
analysis
showed
that
during
summer,
median
second-floor
air
reached
28.8
°C,
peaking
39.2
with
relative
humidity
exceeding
70%
for
45%
time.
First-floor
surpassed
72%
condensation
risk
remains
low
year-round,
it
increases
significantly
infiltration
through
gaps
envelope.
recommends
enhancing
sealing
envelope,
upgrading
insulation
materials
barriers,
roof,
optimizing
HVAC
system
improve
storage
conditions.
These
findings
offer
valuable
recommendations
retrofitting
climates
resilience.
Journal of Building Engineering,
Journal Year:
2024,
Volume and Issue:
84, P. 108615 - 108615
Published: Jan. 26, 2024
In
order
to
meet
the
international
goals
for
a
sustainable
development,
it
is
mandatory
implement
energy
saving
solutions
on
existing
buildings
and
industrial
ones
should
be
also
addressed
since
industry
related
consumption
covers
approximately
one
third
of
global
demand.
Industrial
facilities
are
usually
characterized
by
low
overall
quality
standards
performance
levels,
largely
influenced
their
old
age
architectural/technological,
energy,
structural
issues.
The
paper
aims
at
outlining
current
state
research
manufacturing
facilities,
focusing
efficiency
redevelopment
solutions.
PRISMA
methodology
was
adopted
in
initial
stages,
coupled
with
computer-aided
bibliometric
review
tool:
globally,
203
scientific
papers
retrieved
Web
Of
Science
ScienceDirect
databases
were
analysed.
Three
main
areas
interest
pointed
out
referring
seismic
behaviour,
building
envelope
systems
performance,
energy-related
analysis
conducted
revealed
significant
gap
literature
concerning
integrated
retrofit
serves
as
robust
knowledge
base
development
comprehensive
guidelines
this
peculiar
stock.
Case Studies in Thermal Engineering,
Journal Year:
2024,
Volume and Issue:
55, P. 104124 - 104124
Published: Feb. 12, 2024
Metamodeling
is
a
promising
technique
for
alleviating
the
computational
burden
of
building
energy
simulation.
Although
various
machine
learning
(ML)
algorithms
have
been
applied,
interactive
effects
multiple
factors
on
ML
algorithm
performance
remain
unclear.
In
this
study,
six
popular
algorithms,
including
ridge
regression,
random
forest,
extreme
gradient
boosting
(XGBoost),
support
vector
regression
(SVR),
k-nearest
neighbor
(KNN)
and
multi-layer
perceptron
(MLP),
were
analyzed
benchmark
metamodeling
problem
in
simulation
under
impacts
four
factors:
input
dimension,
sample
size,
degree
input-output
sensitivity
hyperparameter
optimization
(HPO)
technique.
The
results
indicated
that
XGBoost
had
high
model
precision
strong
robustness,
while
KNN
SVR
performed
poorly
two
metrics.
Increasing
size
could
mitigate
impact
other
three
precision,
especially
MLP.
findings
will
assist
designers,
engineers
researchers
selecting
suitable
HPO
techniques
based
dataset's
characteristics
facilitate
application
design
optimization,
analysis
decision-making
processes.
Journal of Building Engineering,
Journal Year:
2024,
Volume and Issue:
95, P. 110203 - 110203
Published: July 14, 2024
Industrial
buildings
in
Italy
are
generally
aged
and
widely
outdated
from
an
architectural,
technological,
environmental
perspective.
Despite
the
current
limitations
affecting
both
envelope
system
installations,
enhancement
strategies
not
frequently
debated
literature
or
addressed
recurring
to
adequately
comprehensive
approaches.
This
research
examines
space
heating
options
for
integrated
retrofit
interventions
of
manufacturing
facilities
using
a
novel
methodology
that
combines
multi-criteria
decision
analysis
based
on
Analytic
Hierarchy
Process
(AHP)
with
building
energy
simulations.
Interviews
representatives
medium-sized
companies
Tuscany
provide
insights
into
exigencies
industrial
buildings,
while
on-site
surveys
identify
common
features
region
leading
identification
representative
case
study
building.
facility
is
examined
producing
several
models
account
different
alternatives
be
evaluated
according
criteria
including
economic,
environmental,
comfort,
space,
reliability.
Both
qualitative
judgments
quantitative
outputs
simulations
considered
rank
technological
encompassed
analysis.
In
addition,
sensitivity
analyses
carried
out
highlight
impact
boundary
conditions
optimal
configuration
selection.
Economic
considerations
weigh
heavily
owners,
often
outweighing
concerns
due
higher
initial
investment
requirements
low-impact
solutions.
Consequently,
gas
boiler
generators
hot-water
fan
heaters
emerge
as
preferred
their
flexibility,
low
cost,
ease
installation.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 8, 2025
Abstract
In
this
paper,
field
tests,
questionnaire
surveys,
and
DesignBuilder
were
used
to
analyse
the
indoor
thermal
environment
energy
consumption
of
traditional
houses
in
a
ethnic
minority
village
Western
Sichuan
Plateau
China,
The
results
showed
that
during
summer
test
period,
outdoor
temperature
range
was
9.3–7.8
°C
relative
humidity
53.5–67.4%,
while
tested
room
13.3–2.3
°C,
69.1–83.0%.
is
high,
does
not
meet
requirement
local
standard.
Therefore,
corresponding
energy-saving
optimization
measures
are
proposed.
winter
heating
building
model
data,
compared
with
heat
load
before
optimization,
saving
reaches
about
56.5%.
addition,
carbon
emissions
economic
suitability
different
methods
evaluated.
Electric
heating,
coal-fired
biomass
have
payback
periods
11
years,
24
years
6
respectively.
With
perspective
focusing
on
special
regional
characteristics
plateau,
research
aims
promote
conservation
sustainable
development
buildings
minorities,
help
improve
living
Plateau.
future,
long-term
monitoring
mechanism
can
be
established
continuously
track
residential
after
adoption
evaluate
actual
effect
these
measures.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(6), P. 3086 - 3086
Published: March 12, 2025
The
rapid
development
of
machine
learning
and
artificial
intelligence
technologies
has
promoted
the
widespread
application
data-driven
algorithms
in
field
building
energy
consumption
prediction.
This
study
comprehensively
explores
diversified
prediction
strategies
for
different
time
scales,
types,
forms,
constructing
a
framework
this
field.
With
process
as
core,
it
deeply
analyzes
four
key
aspects
data
acquisition,
feature
selection,
model
construction,
evaluation.
review
covers
three
acquisition
methods,
considers
seven
factors
affecting
loads,
introduces
efficient
extraction
techniques.
Meanwhile,
conducts
an
in-depth
analysis
mainstream
models,
clarifying
their
unique
advantages
applicable
scenarios
when
dealing
with
complex
data.
By
systematically
combing
existing
research,
paper
evaluates
advantages,
disadvantages,
applicability
each
method
provides
insights
into
future
trends,
offering
clear
research
directions
guidance
researchers.
