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Application of Global Weather and Climate Model Output to the Design and…

Award Information

Department of Energy
Award ID:
Program Year/Program:
2012 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
07 b
Solicitation Number:
Small Business Information
845 SPRING ST N W APT 129 ATLANTA, GA 30306-1043
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Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2012
Title: Application of Global Weather and Climate Model Output to the Design and Operatio of Wind-Energy Systems
Agency: DOE
Contract: DE-FG02-12ER86505
Award Amount: $150,000.00


Goals of 80% clean energy production for the United States by 2035 and 20% of the countrys power being supplied by wind energy by 2030 imply nearly a tenfold increase in wind power production. This means that the need for forecast information will extend to longer projection windows with increasing penetration of wind power into the grid and also with diminishing reserve margins to meet peak loads during significant weather events. In addition to more complex issues regarding maintenance planning, energy trading of oil and gas will be influenced increasingly by anticipation of wind generation on timescales of weeks to months, and on longer time scales, future scenarios on decadal time scales are needed to support assessment of wind farm siting, government planning, and the regulatory environment. CFAN will expand upon its hybrid statistical/dynamical forecasting scheme that delivers probabilistic wind forecasts on time scales from one day to seven months to deliver ensemble-based forecasts and extended range outlooks that corrects not only for model bias error, but improves the shape of the distribution to capture low wind and high wind events that are critical forecast targets for wind farms. Collectively, the Phase I evaluation and testing of forecasts on different time scales utilizing our techniques will provide an assessment of the ability to overcome the existing challenges with wind power forecasts on time scales of days to months, as well as provide a framework to improve placement of future wind farm locations. The resulting efforts of a full Phase II project will deliver a wind energy decision support tool solution that would address three key market needs: the ability to forecast reliably at ranges beyond two weeks and at high spatial resolution; better capacity planning forecasts related to extreme or ramp events on scales of days to weeks; effective planning forecasts at decadal time scales that translate accurately for localized sites. The short-term market potential of a resulting Phase II solution is estimated to be in excess of $5M.

Principal Investigator:

Judith Curry

Business Contact:

Judith Curry
Small Business Information at Submission:

Climate Forecast Applications
845 Spring ST. NW #129 Atlanta, GA 30308-1043

EIN/Tax ID: 204268798
Number of Employees:
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Georgia Institute of Technology
311 Ferst Drive
Atlanta, GA 30332-0340