Improved solar variability software in high demand
Tuesday, September 25, 2012 - 08:50
in Mathematics & Economics
Engineers at the University of California, San Diego, have released a new, more accurate version of a software program that allows power grid managers and solar power plant developers to easily model fluctuations in solar power output caused by changes in the cloud cover. The program uses a solar variability law discovered by graduate student Matthew Lave, in the lab of Jan Kleissl, a professor at the Jacobs School of Engineering at UC San Diego.