Milad Setareh; Mohamad Ali Movafagh pour; Mohammad Reza Assari · 10.1080/01430750.2024.2313707 https://doi.org/10.1080/01430750.2024.2313707
International Journal of Ambient Energy
Machine learning / AI
Numerical / CFD
Solar chimney power plant
2024
International Journal of Ambient Energy
no
2024-02-14 12:00:00 00001795
presenting new artificial intelligence techniques for finding optimum performance of solar chimney power plant
2024
International Journal of Ambient Energy
Milad Setareh; Mohamad Ali Movafagh pour; Mohammad Reza Assari
10.1080/01430750.2024.2313707
Summary
A one-dimensional flow model of a solar chimney power plant is used to locate optimal operating conditions as collector roof slope, chimney divergence and wind speed vary, with regression trees, genetic programming and a new trended regression tree fitted to the results. Peak power and mass flow rise with divergence and wind; the trended tree predicts optima best, and genetic programming yields accurate algebraic correlations.
Description written by Solar Tower. The original abstract is available from the publisher via the link below.
Open source