Assessing Overheating Risks in Moderately Insulated Irish Social Housing: Analysis of Building Energy Ratings and Indoor Temperature Profiles
Energies,
Journal Year:
2025,
Volume and Issue:
18(6), P. 1381 - 1381
Published: March 11, 2025
As
buildings
become
more
energy-efficient
in
cold
climates,
the
unintended
consequence
of
increased
overheating
risk
during
warmer
seasons
necessitates
attention.
In
this
context,
there
is
an
absence
research
addressing
assessment
risks
residential
Ireland.
This
study
assesses
data
from
a
sample
1100
social
housing
units
Dublin,
majority
which
have
Building
Energy
Rating
(BER)
C,
representing
moderately
insulated
dwellings.
Using
indoor
temperature
and
outdoor
climate
reports
for
2022,
evaluates
based
on
both
static
adaptive
criteria
living
room
zone
The
methods
used
include
Chartered
Institution
Services
Engineers
(CIBSE)
Guide
A
Passivhaus
Institute
standard,
while
follow
CIBSE
TM59.
findings
reveal
discrepancies
assessments:
overall,
4%
surpass
thresholds
under
A.
contrast,
41%
dwellings
exceeded
standard
May
to
September
2022.
Adaptive
criteria,
however,
indicated
minimal
instances,
at
0.4%.
These
results
highlight
how
different
methodologies
influence
conclusions.
impact
two-fold.
First
it
further
strengthens
existing
literature
questions
appropriateness
methods.
Secondly,
shows
that
set
minimal.
Language: Английский
A Multi-Directional Pyranometer (CUBE-i) for Real-Time Direct and Diffuse Solar Irradiance Decomposition
Dongseok Lee
No information about this author
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(8), P. 1336 - 1336
Published: April 9, 2025
Conventional
decomposition
models
(empirical
and
numerical
models)
estimate
direct
normal
irradiance
(DNI)
diffuse
horizontal
(DHI)
from
global
(GHI)
based
on
empirical
correlations
or
physical
equations.
These
are
designed
for
long-term
averaged
data,
typically
at
an
hourly
longer
timescale,
making
them
less
suitable
real-time
estimations
with
shorter
time
intervals.
To
address
this
limitation,
study
applies
a
data-driven
approach
utilizing
multi-directional
measurements
develops
DNI
estimation
model
Deep
Neural
Network
(DNN).
The
proposed
CUBE-i
system
estimates
using
five
directional
pyranometers.
measurement
data
were
obtained
the
NREL
site
in
Golden,
Colorado,
USA.
method
demonstrates
high
accuracy
1
min
resolution,
achieving
R2
=
0.997
RMSE
20.2
W/m2.
Furthermore,
estimating
both
plane,
outperforms
conventional
(Erbs,
Reindl,
Watanabe),
up
to
times
lower
higher
values.
While
further
considerations
regarding
sensor
accuracy,
applicability
different
regions,
installation
requirements
necessary,
validates
feasibility
of
compact
cost-effective
pyranometer
system.
This
advancement
enhances
its
potential
widespread
applications
solar
energy
systems,
building
management,
meteorology,
environmental
research.
Language: Английский
Comprehensive in-situ assessment of glazing systems: thermal properties, comfort impacts, and machine learning-based predictive modelling
Building and Environment,
Journal Year:
2025,
Volume and Issue:
unknown, P. 113027 - 113027
Published: April 1, 2025
Language: Английский
Strategies for Driving the Future of Educational Building Design in Terms of Indoor Thermal Environments: A Comprehensive Review of Methods and Optimization
Buildings,
Journal Year:
2025,
Volume and Issue:
15(5), P. 816 - 816
Published: March 4, 2025
This
comprehensive
review
critically
examines
current
methodologies
and
optimization
strategies
for
designing
indoor
thermal
environments
in
educational
buildings
amid
the
challenges
of
global
climate
change
energy
demands.
The
paper
evaluates
existing
research
methods,
such
as
numerical
simulations,
data-driven
models,
field
measurements,
revealing
significant
limitations
addressing
complex
dynamic
nature
environments.
It
highlights
overemphasis
on
efficiency
while
neglecting
user
comfort
individual
differences,
students’
physiological
psychological
needs.
underscores
necessity
integrating
human-centered
design
strategies,
adaptability,
interdisciplinary
approaches
to
improve
building
performance
enhance
student
well-being.
Future
should
focus
developing
multimodal
data
fusion
frameworks,
applying
AI-based
optimization,
incorporating
emerging
technologies
like
BIM
IoT
management.
By
advocating
more
adaptable
sustainable
environment
this
study
provides
a
foundation
advancing
response
crises.
Language: Английский
Modelling of Indoor Air Quality and Thermal Comfort in Passive Buildings Subjected to External Warm Climate Conditions
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1282 - 1282
Published: Oct. 25, 2024
Air
renewal
rate
is
an
important
parameter
for
both
indoor
air
quality
and
thermal
comfort.
However,
to
improve
comfort,
the
be
used,
in
general,
will
depend
on
outdoor
temperature
values.
This
article
presents
modelling
of
comfort
occupants
a
passive
building
subject
climate
with
warm
conditions.
The
ventilation
shading
strategies
implemented
interior
spaces
are
then
considered,
as
well
use
underground
space
storing
cooled
air.
evaluated
using
carbon
dioxide
concentration,
Predicted
Mean
Vote
index.
geometry
building,
complex
topology,
generated
numerical
model.
simulation
performed
by
Building
Thermal
Response
software,
considering
building’s
materials,
ventilation,
occupancy,
among
others.
studied
circular
auditorium.
auditorium
divided
into
four
semi-circular
auditoriums
central
space,
vertical
glazed
windows
horizontal
devices
its
entire
outer
surface.
Typical
summer
conditions
existing
Mediterranean-type
environment
were
considered.
In
this
work,
two
cases
simulated:
Case
1,
occupation
verified
all
considered
one;
2,
only
each
one
works
independently.
For
cases,
three
applied:
A,
without
geothermal
devices;
B,
device
device;
C,
devices.
airflow
contributes
improving
throughout
day
occupants,
especially
morning.
level,
mainly
afternoon.
Language: Английский