Design optimization of solar chimney power plant by finite elements based numerical model and cascade neural networks

Summary

Finite element simulations and cascade neural networks are compared for a solar chimney power plant fitted with combined water and soil thermal storage to reduce fluctuations in power output. The networks are tested on parameter sets left out of training, and the result is a prediction tool for assessing plant design and performance under operating scenarios outside the training database.

Description written by Solar Tower. The original abstract is available from the publisher via the link below.