Towards the use of data-driven methods for indoor airflow field reconstruction: A systematic review
Journal of Building Engineering,
Год журнала:
2025,
Номер
unknown, С. 112581 - 112581
Опубликована: Апрель 1, 2025
Язык: Английский
Subzone division optimization with probability analysis-based K-means clustering for coupled control of non-uniform thermal environments and individual thermal preferences
Building and Environment,
Год журнала:
2023,
Номер
249, С. 111155 - 111155
Опубликована: Дек. 28, 2023
Язык: Английский
Seasonal thermal performance of a macro-encapsulated phase change material blind integrated double skin façade system: An experimental study
Yilin Li,
Sipeng Fu,
Yidong Li
и другие.
Energy and Buildings,
Год журнала:
2024,
Номер
325, С. 114952 - 114952
Опубликована: Окт. 28, 2024
Язык: Английский
An Artificial Neural Network Based Approach to Air Supply Control in Large Indoor Spaces Considering Occupancy Dynamics
Building and Environment,
Год журнала:
2024,
Номер
263, С. 111864 - 111864
Опубликована: Июль 20, 2024
Язык: Английский
Hybrid model-based predictive HVAC control through fast prediction of transient indoor temperature fields
Building and Environment,
Год журнала:
2024,
Номер
267, С. 112253 - 112253
Опубликована: Ноя. 1, 2024
Язык: Английский
Development of non-isothermal wall jet integrated zonal model with enhanced accuracy using a multi-flow coefficient calibration method
Building and Environment,
Год журнала:
2023,
Номер
239, С. 110443 - 110443
Опубликована: Май 20, 2023
Язык: Английский
Reallocation of Supply Air in Large Indoor Spaces Considering Thermal Coupling
Lecture notes in civil engineering,
Год журнала:
2024,
Номер
unknown, С. 465 - 476
Опубликована: Янв. 1, 2024
Язык: Английский
A novel improved hybrid neural network for predicting heating load in airport building
Journal of Building Engineering,
Год журнала:
2024,
Номер
96, С. 110394 - 110394
Опубликована: Авг. 15, 2024
Язык: Английский
Development of a calibrated zonal model for airflow and temperature distribution prediction
Building Simulation Conference proceedings,
Год журнала:
2023,
Номер
18
Опубликована: Сен. 4, 2023
The
zonal
model
serves
as
an
intermediate
approach
between
computational
fluid
dynamics
(CFD)
and
nodal
models,
offering
a
balance
prediction
accuracy
efficiency,
making
it
widely
used
tool
for
predicting
indoor
environments.
Although
most
research
has
focused
on
natural
convection
conditions,
there
been
limited
study
non-isothermal
forced
convection,
the
requires
improvement.
To
address
this
limitation,
multi-flow
coefficient
calibration
method
is
proposed
to
enhance
of
jet-integrated
under
conditions.
calibrates
coefficients
in
using
multi-objective
genetic
algorithm
(MOGA),
taking
into
account
both
velocity
temperature
performance.
Experimental
results
from
test
room
indicate
that
calibrated
more
accurate
describing
distribution
air
fields
jet
compared
conventional
model.
Язык: Английский