With
the
development
of
economy,
air
condition
systems
in
buildings
are
more
and
while
energy
consumed
on
buildings.
To
ensure
sustainability
human
beings,
it
is
necessary
to
keep
balance
between
conservation
consumption.
The
prediction
consumption
an
effective
way
conserve
energy.
At
present,
data-driven
model
mainstream
research
load
Deep
neural
network
a
classic
type
for
prediction.
When
used
predict
systems,
accuracy
greatly
influenced
by
randomness
structure
model.
solve
problem,
novel
Fully
Connected
Neural
Network
(FCNN)
with
error
retraining
strategy
proposed
this
article.
specific
work
as
follows:
firstly,
FCNN
trained
real
data
from
acquire
values.
Then,
value
obtained
construct
Finally,
prove
that
above
better
than
model,
two
models
respectively
based
same
group
samples.
experiment
results
has
high
superior
Energies,
Journal Year:
2024,
Volume and Issue:
17(4), P. 775 - 775
Published: Feb. 6, 2024
Mozambique
is
experiencing
the
consequences
of
a
severe
energy
crisis
with
economic
and
social
impacts.
Its
strict
dependence
on
hydroelectric
sources
being
severely
tested
by
recent
droughts
that
have
drastically
reduced
water
levels
in
dams.
However,
addressing
poverty
exploring
renewable
thanks
to
investments
sector
European
Union.
The
research
concerns
an
analysis
profile
country
penetration
energy,
presenting
upgrading
scope
through
semi-automatic
calculation
methodology
Building
Information
Modeling
(BIM)
environment.
building
under
study,
located
Maputo,
Natural
History
Museum,
which
plays
important
role
biodiversity
conservation.
Therefore,
this
paper
proposes
BIM
for
sizing
environmental
control
system
tailored
serve
museum.
proposed
replaces
previous
one
includes
photovoltaic
not
only
meets
museum’s
load
but
also
supplies
electricity
surrounding
area.
Energy
production
from
surplus
30%
has
been
achieved.
digital
identified
maximum
gap
1.5%
between
dimensions
duct
those
traditional
plant
design,
meeting
ASHRAE
requirements
control.
Buildings,
Journal Year:
2024,
Volume and Issue:
14(2), P. 452 - 452
Published: Feb. 6, 2024
A
multi-objective
decision
method
is
proposed
based
on
the
combining
orthogonal
test,
entropy
weight
(EWM)
with
TOPSIS
(technique
for
order
preference
by
similarity
to
an
ideal
solution)
in
this
article.
The
more
objective
and
efficient
than
traditional
methods
design
of
green
residential
buildings.
villa
Nanjing
was
taken
as
example,
cost,
building
energy
consumption,
daylight
factors
were
used
decision-making
indexes.
total
six
control
selected:
terrain
elevation,
window
area,
orientation,
opening
ratio
exterior
windows,
roof
structure,
glass
material.
Each
factor
designed
three
levels.
First,
a
scheme
index
system
constructed,
experimental
select
representative
schemes.
Then,
EWM
determine
each
index,
comprehensive
evaluation
conducted,
and,
finally,
optimal
confirmed
via
range
analysis.
results
show
that
model
experiment
EWM-TOPSIS
suitable
solution
obtained
“15
m
1200
×
1500
mm
size
vacuum
glass,
orientation
170°
external
45%
40
thick
expanded
insulation
board
roof”.
Smart Cities,
Journal Year:
2024,
Volume and Issue:
7(4), P. 1971 - 1991
Published: July 25, 2024
With
the
increasing
energy
consumption
in
buildings,
proportion
of
public
buildings
continues
to
grow.
As
an
essential
component
sports
are
receiving
more
attention
regarding
energy-saving
technologies.
This
paper
aims
study
passive
design
methods
small-and
medium-sized
halls
hot
summer
and
cold
winter
regions,
exploring
how
reduce
building
by
improving
spatial
thermal
performance
enclosure
structures
halls.
Taking
Wuhu
County
Sports
Center
as
example,
this
uses
computer
simulation
software
analyze
building’s
wind
environment
its
external
walls
roof.
The
results
show
that
large
volume
hall
significantly
impacts
distribution
speed
pressure
around
it,
impact
decreases
with
height.
demonstrates
adding
insulation
layers
interior
exterior
roof
is
effective
way
both
summer.
Additionally,
simulations
different
shapes
reveal
flat
roofs
have
most
significant
blocking
effect
on
prone
inducing
strong
vortices
leeward
side;
concave
arch
least
airflow,
wave-shaped
maintain
lower
vortex
intensity
side.
Hopefully,
can
provide
references
for
future
small-
buildings.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: July 26, 2024
In
recent
years,
the
use
of
Building
Information
Modeling
(BIM)
with
Energy
(BEM)
has
become
primary
research
focus
for
reducing
energy
consumption
buildings
in
planning
and
operational
phases.
The
combination
BIM
BEM
offers
advantages
various
phases
a
construction
project.
However,
there
are
currently
very
few
studies
that
can
integrate
multi-objective
optimization
algorithms
into
BIM-BEM
process
to
achieve
automatic
effectively
manage
many
aspects
building
development.
this
study,
an
EnergyPlus
integrated
jellyfish
search
(EP-MOJSO)
system
was
developed,
utilizing
algorithm
find
best
thermal
insulation
layers
Aluminum
composite
material
(ACM)
wall.
goal
is
reduce
total
cost
environment.
case
authors
successfully
applied
real
building,
resulting
10.7%
reduction
65
kWh/m2/year
EUI.
It
expected
results
study
will
open
up
new
ways
using
multi-criteria
models
optimize
project
factors
such
as
thus
make
important
contribution
sustainable
design.
