A classifier to detect best mode for Solar Chimney Power Plant system

Summary

Decision tree, naive Bayes and support vector machine classifiers, trained on weather data, pick the operating mode of a hybrid solar chimney plant that generates power by day and works as a cooling tower at night. The support vector machine performed best. Air temperature, irradiance variability and peak wind speed drive output, and optimised operation adds about 2.5% energy plus extra annual revenue.

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