Summary
A simple artificial neural network is trained as a low-cost substitute for computationally expensive numerical simulation of airflow in a solar chimney used for building ventilation. The model reproduces the flow field and is then used to estimate temperature distributions under different heat flux levels, giving predictions that agree well with the reference values.
Description written by Solar Tower. The original abstract is available from the publisher via the link below.