Azam Asilian Bidgoli; Shahryar Rahnamayan · 10.1109/pgsret.2019.8882723 https://doi.org/10.1109/pgsret.2019.8882723
International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)
Machine learning / AI
Numerical / CFD
Solar chimney power plant
2019
International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)
no
2019-08-01 12:00:00 00002791
an innovization-based model to approximate geometric parameters of solar chimney power plant for desired efficiency and output power
2019
International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)
Azam Asilian Bidgoli; Shahryar Rahnamayan
10.1109/pgsret.2019.8882723
Summary
Proposes a three-stage approach to sizing the chimney and collector of a solar chimney power plant for a target efficiency and power output. Simulation data feed a surrogate model, multi-objective evolutionary optimization maximizes both goals, and innovization then derives equations giving height and radius values directly, avoiding repeated optimization runs. Predicted performance closely matched the targets, with low error.
Description written by Solar Tower. The original abstract is available from the publisher via the link below.
Open source