An evaluation of the predictive accuracy of wake effects models for offshore wind farms

Author:

Walker Keith1,Adams Neil2,Gribben Brian1,Gellatly Breanne3,Nygaard Nicolai Gayle4,Henderson Andrew5,Marchante Jimémez Miriam4,Schmidt Sarah Ruth6,Rodriguez Ruiz Javier7,Paredes Daniel7,Harrington Gemma8,Connell Niall9,Peronne Oliver10,Cordoba Miguel11,Housley Paul12,Cussons Robert13,Håkansson Måns14,Knauer Andreas15,Maguire Eoghan16

Affiliation:

1. Frazer-Nash Consultancy; Bristol United Kingdom

2. Frazer-Nash Consultancy; 5th Floor 8 Nelson Mandela Place G2 1BT Glasgow United Kingdom

3. The Carbon Trust; London United Kingdom

4. DONG Energy; Kraftvaerksvej 53 7000 Fredericia Denmark

5. DONG Energy; 33 Grosvenor Place SW1X 7HY London United Kingdom

6. E.ON; Malmo Sweden

7. SPR-Iberdrola; Madrid Spain

8. Mainstream Renewable Power; Dublin Ireland

9. Mainstream Renewable Power; London United Kingdom

10. RWE Innogy; Hamburg Germany

11. RWE Npower; Swindon United Kingdom

12. SSE Renewables; Bristol United Kingdom

13. SSE Renewables; Glasgow United Kingdom

14. Statkraft; Malmo Sweden

15. Statoil; Bergen Norway

16. Vattenfall; Edinburgh United Kingdom

Funder

Offshore Wind Accelerator

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Reference25 articles.

1. Henderson A Darcy F Gandoin R Jiménez MM Yendole H Mechali M Wind measurement campaigns offshore and how do they create value

2. Adams N Benchmarking of offshore wake effects models , Wind Power Monthly Wind Resource Assessment Conference

3. Nygaard NG Systematic quantification of wake model uncertainty

4. Modelling and measuring flow and wind turbine wakes in large wind farms offshore;Barthelmie;Wind Energy,2009

5. Evaluation of the wind direction uncertainty and its impact on wake modelling at the Horns Rev offshore wind farm;Gaumond;Wind Energy,2013

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