| Description |
1 online resource (12 pages) : color illustrations. |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Conference paper ; NREL/CP-5000-74808 |
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Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5000-74808.
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| Note |
"February 2020." |
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"Presented at NAWEA/WindTech 2019, Amherst, Massachusetts, October 14-16, 2019"--Page 1 of cover. |
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"Funding provided by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Wind and Water Technologies Office"--Verso of title page. |
| Bibliography |
Includes bibliographical references (page 12). |
| Funding |
DE-AC-08GO28308 |
| Note |
Description based on online resource; title from PDF title page (NREL, viewed on August 5, 2020). |
| Summary |
Wake steering is a type of wind farm control strategy wherein upstream turbines are misaligned with the wind direction to redirect their wakes away from downstream turbines, increasing overall wind plant power. Wake steering is often analyzed assuming steady mean wind directions across the wind farm. However, in practice, the wind direction varies considerably over time because of large-scale weather phenomena. Wind direction variability causes wake steering controllers to increase power production less than predicted by steady state models, but more robust wake steering strategies can be designed that account for variable wind conditions. This paper compares the achieved yaw offsets and power gains from two 2-turbine wake steering experiments at a commercial wind farm with model predictions using the FLOw Redirection and Induction in Steady State (FLORIS) control-oriented model, assuming both fixed and variable wind directions. The impact of wind direction variability is modeled by including wind direction and yaw uncertainty in the FLORIS calculations. The field results match the trends predicted assuming wind direction variability. Specifically, the yaw offsets achieved in the intended control regions are lower than desired, resulting in less power gain, while a slight loss in power occurs for wind directions outside of the intended control region because of unintentional yaw misalignment. The agreement between the model and field results suggests that the wind direction variability model can be used to design wake steering controllers that are more robust to variable wind conditions present in the field. |
| Subject |
Wind power plants -- United States -- Observations.
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Wakes (Aerodynamics) -- Observations.
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Wind power -- United States -- Observations.
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Centrales éoliennes -- États-Unis -- Observations.
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Sillage (Aérodynamique) -- Observations.
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Énergie éolienne -- États-Unis -- Observations.
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Wakes (Aerodynamics)
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Wind power
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Wind power plants
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United States https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
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| Indexed Term |
uncertainty |
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wake steering |
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wind direction variability |
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wind plant control |
| Genre/Form |
Observations
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| Added Author |
Fleming, Paul, 1964- author.
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King, Jennifer (Jennifer Annoni), author.
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National Renewable Energy Laboratory (U.S.), issuing body.
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United States. Department of Energy. Office of Energy Efficiency and Renewable Energy, sponsoring body.
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| Standard No. |
1599567 OSTI ID |
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0000-0002-1027-9848 |
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0000-0001-8249-2544 |
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0000-0001-6219-0098 |
| Gpo Item No. |
0430-P-04 (online) |
| Sudoc No. |
E 9.17:NREL/CP-5000-74808 |
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