SBIR/STTR Research Award

STTR Phase I:Extremum Seeking Control of Wind Turbines and Wind Farms

Award identifier 8da74233e3b3240d4817191a5f8023dd0405ee2481d43461b3c31acc4a4954efAwarding agency National Science Foundation

Award amount

$256,000

Program and phase

STTR · Phase I

Award year

2022

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
AQUANIS, INC.
Proposal award date
2022-04-01
Contract end date
2023-08-31
UEI
RMSCK4T88AL7
Solicitation number
NSF 21-563
Topic code
EN

Research abstract

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is the introduction of a new wind farm control strategy that is expected to increase the power generated by a typical wind farm by 3-10%.Wind farm owners and operators face continuous pressure to reduce the price per megawatt-hour of the grid energy that they produce.Improving the energy yield of existing wind farms by optimizing array yaw angles (known as “wake steering”) may lower the cost of energy, increase our customer’s profits, and promote greater wind energy penetration in domestic and global grid energy markets.This STTR Phase I project proposes to develop a new model-free approach to maximizing the annual energy produced by wind farms. On most wind farms, the turbines are operated independently, relying only on their individual wind sensors to determine the wind direction and to make control decisions to orient themselves to generate maximum power. The proposed approach will allow arrays of turbines to work together to minimize losses by steering the wakes of upstream turbines away from the downwind rows, increasing net power production. While this technique has been proposed in the past, the methods employed have relied on control algorithms that use models to determine the key operating parameters. Since every wind farm is different, those parameters must be tuned on-site using expensive and time-consuming calibration campaigns. Moreover, as the turbines age, those parameters can end up far from their optimal values. The new proposed scheme takes a different, model-free approach that may eliminate the need for parameter calibration while ensuring that the array continuously operates at its peak performance even as atmospheric and other environmental conditions change and the physical conditions of the turbines deteriorate.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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.

Research funding history

8 SBIR/STTR records share this UEI (2017–2025). Reported award amounts total $5,377,663. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Energy, National Science Foundation

Agency intelligence

National Science Foundation

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