SIMULATION USING IN SITU ADAPTIVE TABULATION AND FAST FLUID DYNAMICS
Ventilation with stratified air distribution is commonly
used to improve building energy efficiency and indoor
environment quality. A fast indoor airflow simulation
can be useful for the ventilation design, performance
evaluation, and model predictive ventilation control. As
an intermediate model between computational fluid
dynamics (CFD) and multizone models, a fast fluid
dynamics (FFD) was proposed to balance simulation
accuracy and computing speed. In this paper, we propose
to further speed up the FFD simulation by using a
computation reduction technique called in situ adaptive
tabulation (ISAT). ISAT is a general function
approximation method and was first proposed to speed
up CFD simulation for combustion. Using ISAT, we are
able to store the key FFD simulation data in a table and
retrieve the data from the table for simulations with
similar boundary conditions. This paper presents our
ISAT-FFD implementation and some preliminary
results. In a parametric study with 60,000 simulations,
we showed that the ISAT-FFD simulation could
compute the key indoor environment data for a natural
convection flow at a speed up of 50 times faster than the
FFD simulation and the prediction errors are within 1K.
In the other case study, we showed that a trained ISATFFD
model can predict the key environmental data by
simply retrieving from the data table with controllable
accuracy and little computing time. The ISAT-FFD can
also properly handle the scenario when the independent
variables are outside pre-trained data range.
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