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Cabezón Martínez, Daniel and Sumner, J. and Crespo Martínez, Antonio (2011). Prediction of wake effects on wind farm power production using a RANS approach. Part II. Offshore: Case studies from the UPWIND project. In: "Wake Conference", 08/06/2011 - 09/06/2011, Gotland, Visby, Sweden. pp..
Title: | Prediction of wake effects on wind farm power production using a RANS approach. Part II. Offshore: Case studies from the UPWIND project |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Poster) |
Event Title: | Wake Conference |
Event Dates: | 08/06/2011 - 09/06/2011 |
Event Location: | Gotland, Visby, Sweden |
Title of Book: | Wake Conference |
Date: | 2011 |
Subjects: | |
Faculty: | E.T.S.I. Industriales (UPM) |
Department: | Otro |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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The estimation of power losses due to wind turbine wakes is crucial to understanding overall wind farm economics. This is especially true for large offshore wind farms, as it represents the primary source of losses in available power, given the regular arrangement of rotors, their generally largerdiameter and the lower ambient turbulence level, all of which conspire to dramatically affect wake expansion and, consequently, the power deficit. Simulation of wake effects in offshore wind farms (in reasonable computational time) is currently feasible using CFD tools. An elliptic CFD model basedon the actuator disk method and various RANS turbulence closure schemes is tested and validated using power ratios extracted from Horns Rev and Nysted wind farms, collected as part of the EU-funded UPWIND project. The primary focus of the present work is on turbulence modeling, as turbulent mixing is the main mechanism for flow recovery inside wind farms. A higher-order approach, based on the anisotropic RSM model, is tested to better take into account the imbalance in the length scales inside and outside of the wake, not well reproduced by current two-equation closure schemes.
Item ID: | 21088 |
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DC Identifier: | https://oa.upm.es/21088/ |
OAI Identifier: | oai:oa.upm.es:21088 |
Deposited by: | Memoria Investigacion |
Deposited on: | 16 Mar 2014 11:30 |
Last Modified: | 20 Feb 2023 07:55 |