In a third round of funding from the California Public Utilities Commission (CPUC), Clean Power Researchwill receive a grant of approximately $850,000 from the California Solar Initiative Research, Development, Deployment and Demonstration (CSI RD and D) Program. As a result of the grant, Clean Power Research will implement new photovoltaic (PV) fleet simulation tools to cost-effectively predict the variability of solar power caused by cloud cover.

"Accurate solar forecasting is critical for integrating ever-larger PV fleets into the grid, yet the expense and difficulty of obtaining this information can be very high," said Tom Hoff, president of Research and Consulting at Clean Power Research.

"This grant builds on our previous CSI RD and D research, allowing us to validate our PV simulation models and make them widely available through easy-to-use software tools. We're honored that the CPUC selected Clean Power Research to complete the next phase of this research."

Participants in the Clean Power Research project include: California Independent System Operator Corporation (California ISO); Pacific Gas and Electric Company (PG and E); Sacramento Municipal Utility District (SMUD); University at Albany, SUNY; Electric Power Research Institute, Inc. (EPRI); Solar Electric Power Association (SEPA); and University of California, San Diego.

Maximizing Solar Value with PV Fleet Simulation
With the grant, Clean Power Research will validate its PV fleet simulation methodologies that enable the accurate estimation of power output and variability of a fleet of PV systems without the cost and complexity involved with direct monitoring. Given the intermittent nature of PV, this data is vital for utilities and ISOs who are integrating PV into their planning, scheduling and operating strategies to maintain grid reliability.

Clean Power Research will also produce industry-leading 1-minute, 1 km SolarAnywhere data for California, a requirement for calculating variability at the short time intervals typical for dispatching energy reserves. These new PV fleet simulation capabilities will be made available via software to support projects in distribution planning, smart grid operation, utility load scheduling, and balance area planning and operation.

SolarAnywhere Supports Three CSI RD and D Grants
In addition to the Clean Power Research project, SolarAnywhere data will be used in the following projects:

+ Screening Distribution Feeders: Alternatives to the 15% Rule by Electric Power Research Institute, Inc.

+ High-Fidelity Solar Forecasting Demonstration for Grid Integration by University of California, San Diego

"Our analysis has shown that SolarAnywhere is one of the most accurate and highly spatially resolved solar resource datasets available," said Jan Kleissl, assistant professor of Environmental Engineering, University of California, San Diego. "Clouds cannot hide from a satellite."

Launched in 2008, SolarAnywhere is the leading source of downloadable historical, real-time and forecast satellite-derived solar irradiance data for the continental U.S. and Hawaii. The lab of Dr. Richard Perez at the University at Albany, SUNY provides models and research innovations for SolarAnywhere, which are an evolution of Perez's work as encompassed in the "SUNY gridded data" of the National Solar Resource Database (NSRDB).