Professor, Renewable Energy and Environmental Flows
Dept. of Mechanical and Aerospace Engineering
Director, UCSD Center for Energy Research
co-Director, Study Abroad
9500 Gilman Drive, EBUII - 580
University of California, San Diego
La Jolla, CA, 92093-0411
(c) (619) 376-3971 | (o) (858) 534-8087
PhD., Environmental Engineering, Johns Hopkins University, 2004
Kleissl's students critical in bringing $154 Million in Clean Renewable Energy Bonds to San Diego to build 20 MW of solar PV projects.
Hiring: Postdoctoral Fellows, PhD students
MAE126A Winter quarters: Laboratory Experiment Course for Environmental Engineers
MAE255 Spring quarters, every 2 years: Boundary Layer and Renewable Energy Meteorology
MAE125 Winter quarters, every 2 years: Building Energy Efficiency
Outreach / Events
K12 Environmental Education with Solar Energy lesson plans through the UCSD Global Teams in Engineering Service (TIES) program
Kleissl Solar Resource Assessment and Forecasting Lab
Solar resource assessment (How much solar radiation can be typically expected?) and forecasting (How much solar radiation can be expected in the next hour or next day?) are critical to expanding the penetration of solar power on the electric grid. Kleissl was selected by the California Energy Commission and California Solar Initiative to conduct solar resource assessment and forecasting for the state of California.
|© Google Earth, 2010|
Satellite remote sensing models (top left), numerical weather prediction (bottom), and ground sensors (top right) are used to provide solar forecasts for time horizons from 10 minutes to 72 hours. The map on the top left shows GOES satellite GHI [W m-2] for the San Diego area at 1 km resolution. Clouds (east half) cause a substantial reduction in GHI. The coast is visible due to satellite navigation errors. Cloud motion vectors are applied to forecast the movement of the clouds. North American Model (NAM) output from the National Weather Service is shown on the bottom left for a storm system moving through California.