Field Test of Wake Steering at an Offshore Wind Farm
| Autor: | Lin Chen, Linpeng Wang, Jigar Jayesh Shah, Shreyas Ananthan, Paul Fleming, Zhijun Zhang, Jennifer Annoni, Peng Wang, Weiguo Chen, Kyle Hutchings |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Wind power Renewable Energy Sustainability and the Environment business.industry Energy management 020209 energy lcsh:TJ807-830 lcsh:Renewable energy sources Energy Engineering and Power Technology 02 engineering and technology Computational fluid dynamics Wake 01 natural sciences Turbine 010305 fluids & plasmas Renewable energy Offshore wind power Control theory 0103 physical sciences 0202 electrical engineering electronic engineering information engineering business Marine engineering |
| Zdroj: | Wind Energy Science, Vol 2, Pp 229-239 (2017) |
| ISSN: | 2366-7451 |
| DOI: | 10.5194/wes-2017-4 |
| Popis: | In this paper, a field test of wake-steering control is presented. The field test is the result of a collaboration between the National Renewable Energy Laboratory (NREL) and Envision Energy, a smart energy management company and turbine manufacturer. In the campaign, an array of turbines within an operating commercial offshore wind farm in China have the normal yaw controller modified to implement wake steering according to a yaw control strategy. The strategy was designed using NREL wind farm models, including a computational fluid dynamics model, Simulator fOr Wind Farm Applications (SOWFA), for understanding wake dynamics and an engineering model, FLOw Redirection and Induction in Steady State (FLORIS), for yaw control optimization. Results indicate that, within the certainty afforded by the data, the wake-steering controller was successful in increasing power capture, by amounts similar to those predicted from the models. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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