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Modelling turbulence intensity within a large offshore wind farm
Author(s) -
Argyle Peter,
Watson Simon,
Montavon Christiane,
Jones Ian,
Smith Megan
Publication year - 2018
Publication title -
wind energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 92
eISSN - 1099-1824
pISSN - 1095-4244
DOI - 10.1002/we.2257
Subject(s) - turbulence , turbine , offshore wind power , turbulence kinetic energy , wake , marine engineering , freestream , wind power , environmental science , meteorology , work (physics) , k epsilon turbulence model , engineering , geography , aerospace engineering , mechanical engineering , reynolds number , electrical engineering
The IEC standard 61400‐1 edition 3 uses the so‐called Frandsen model to assess levels of turbulence intensity (TI) within wind farms, specifically to determine turbine suitability associated with stress and fatigue. Since the Frandsen model was developed, turbines have significantly grown in size and the number of turbines in an individual wind farm has grown in number. It is of interest to test the accuracy of such models, especially when applied to large wind farms offshore. This work presents results from comparing the Frandsen model with measured data from the Greater Gabbard offshore wind farm. Comparisons are also made with a simplified version of the Frandsen model. In general, both models were shown to perform well when predicting values of TI. However, the ambient wind farm turbulence model utilised by the Frandsen model was shown to be less reliable than the use of an individual turbine wake‐generated turbulence model, regardless of distance, as demonstrated using a simplified model. The difference between observed mean and 90th percentile (also known as representative TI) values was in general larger than that predicted. It is proposed that this is primarily due to model reliance on variance in the turbulence of the freestream flow rather than actually modelling the variance of the turbulence generated by individual turbines, although this would require further work to confirm this.

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