SBIR/STTR Research Award

Application of Global Weather and Climate Model Output to the Design and Operatio of Wind-Energy Systems

Award identifier d50b663d13913cc053508f180504478adb332b362b5fffd860be00bceb8b23cdAwarding agency Department of Energy

Award amount

$150,000

Program and phase

STTR · Phase I

Award year

2012

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
CLIMATE FORECAST APPLICATIONS NETWORK, LLC
Proposal award date
2012-02-20
Contract end date
2012-11-19
UEI
CSGXSZSELX13
Solicitation number
DE-FOA-0000577
Topic code
07 b

Research abstract

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.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

7 SBIR/STTR records share this UEI (2010–2024). Reported award amounts total $2,549,617. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Commerce, Department of Energy, Department of Defense

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.