Energy and Buildings,
Год журнала:
2023,
Номер
285, С. 112838 - 112838
Опубликована: Фев. 8, 2023
The
shape
and
orientation
of
a
building
influence
the
energy
demand,
therefore
optimal
decisions
should
only
be
made
rigorously
supported
by
evaluation
programs,
which
allow
for
measuring
demand
more
precisely.
main
purpose
this
research
is
to
evaluate
massive
residential
social
housing
multifamily
buildings
find
best
solar
positioning
minimize
cooling
heating
demands
simultaneously
in
bioclimatic
zone
2
(Cfa)
southern
region
Brazil.
To
do
this,
study
utilizes
multi-objective
optimization
with
genetic
algorithm
(NSGA-II)
simulating
thermal
behavior
EnergyPlus
performing
Python
language
programming
code,
totalizing
80,000
simulations.
results
showed
that
could
reduce
total
4%
"H"
22%
linear
isolated
scenario.
For
condominium
condition,
reduction
2%
typology
8%
shape.
presented
can
help
engineers
architects
design
energy-efficient
address
energetic
vulnerability
same
building.
Moreover,
future
work
carried
out
improve
constructive
pattern
replicated
all
over
country,
improving
surroundings.
