California Solar Irradiance Map


Google Earth version

This color map illustrates the Mean Global Horizontal Solar Energy Density across the state of California, USA during a typical meteorological year (TMY). This is the energy that a horizontally oriented solar panel would receive in one year. The data for this map comes from the corrected National Solar Radiation Database, SUNY 10km Gridded Dataset.
Reference: Nottrott and Kleissl, 2010


Google Earth KMZ download...

by Anders Nottrott

Benefits of Optimum Geometric Alignment of Solar Panels in California


California Maps in Google Earth
USA Maps in Google Earth

Using the Google Earth file, one can easily determine the optimum tilt and azimuth angles for any site in California, as well as the average annual increase in radiation at the optimum tilt and azimuth versus horizontally flat. These maps were created using the SUNY 10km Gridded Dataset and an algorithm described by J. Page (in Practical Handbook of Photovoltaics: Fundamentals and Applications) for transforming horizontal global and diffuse radiation into radiation on an inclined surface.


Google Earth KMZ download...

by Matt Lave

Shadow Mapping UCSD Campus


A Google Earth map of shadows generated from sky imagery. The cloud and shadow layers are superimposed on Google Earth along with weather station and PV output data. Combined with cloud motion tracking, this information will next be used to make solar irradiance forecasts in the sky imager coverage area.


Shadow Movie 2

by Bryan Urquhart

Solar Energy Calculator


Compute the monthly and annual solar energy impinging upon a 1 m2 tilted plane in San Diego. Support for additional regions will be available soon. Features a Google Maps interface and realtime computations. Computations for your customized tilting angles are required, and we apologize for the wait. Try it out!


by Bryan Urquhart

Research News

June 21, 2011


UC San Diego Researchers Create Tool to 'Put the Lid' on Solar Power Fluctuations.
Matt Lave and Professor Jan Kleissl

May 19, 2011


Matt Lave, Jenny Luoma, and Bryan Urquhart present at the ASES 2011 National Solar Conference.
Presentations:
Matt: Modeling solar variability effects on power plants
Jenny: Available soon!
Bryan: Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed


Media Corner

Video


Sky Imager sequence showing clouds over weather stations. Video

Video


A cloudmap and shadowmap derived from sky imager data displayed in Google Earth along with readings from multiple weather stations and photovoltaic arrays. Video