Zeinab Esmaeili; Seyed Mohammad Vahidhosseini; Saman Rashidi; Roohollah Rafee; Wei-Mon Yan · 10.1016/j.icheatmasstransfer.2026.112343 https://doi.org/10.1016/j.icheatmasstransfer.2026.112343
International Communications in Heat and Mass Transfer
Machine learning / AI
Numerical / CFD
Solar chimney power plant
2026
International Communications in Heat and Mass Transfer
no
2026-08-18 12:00:00 00001871
cfd–machine-learning-based multi-layer perceptron for sensitivity analysis of power output and entropy generation in solar chimney systems
2026
International Communications in Heat and Mass Transfer
Zeinab Esmaeili; Seyed Mohammad Vahidhosseini; Saman Rashidi; Roohollah Rafee; Wei-Mon Yan
10.1016/j.icheatmasstransfer.2026.112343
Summary
Pairs computational fluid dynamics with a neural-network surrogate (a multi-layer perceptron) to examine which factors most influence the generated power and the entropy production of solar chimneys.
Description written by Solar Tower. The original abstract is available from the publisher via the link below.
Open source