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Abstract
In this report, the investigation of the dependence of the loads on individual turbines in an offshore wind farm is reported. Three layouts of the wind farm are considered for a wide range of wind conditions, including wind direction. The relationships of loads to generated power and position of the wind turbine in the farm are explored. In addition, different farm level control algorithms to curtail the power output from the farm are compared to determine the strategy that maximises the reduction in turbine loads. The StrathFarm simulation tool has been used extensively in this work which has, also, enabled it to be
thoroughly tested. Even though a large number of simulation runs are conducted, it is clear that the stochastic nature of the wind field renders the results subject to a degree of uncertainty warranting further investigation.
thoroughly tested. Even though a large number of simulation runs are conducted, it is clear that the stochastic nature of the wind field renders the results subject to a degree of uncertainty warranting further investigation.
Original language | English |
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Place of Publication | Glasgow |
Publisher | University of Strathclyde |
Commissioning body | Research Councils UK (Now UKRI) |
Number of pages | 91 |
DOIs | |
Publication status | Published - 30 Sep 2019 |
Keywords
- StrathFarm
- wind farm
- wind energy
- asset management
- power management
- offshore wind farm management
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Dive into the research topics of 'Supergen Wind Hub: D3.3 Report on Wind Farm Control Algorithms to Meet Asset Management Requirements'. Together they form a unique fingerprint.Projects
- 4 Finished
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EPSRC Centre for Doctoral Training in Wind & Marine Energy Systems | Cole, Matthew
Leithead, B., Anaya-Lara, O. & Cole, M.
EPSRC (Engineering and Physical Sciences Research Council)
1/09/16 → 1/01/21
Project: Research Studentship - Internally Allocated
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Supergen Wind Hub
Leithead, B., McDonald, A., McMillan, D., Anaya-Lara, O., Brennan, F., McGregor, P., Attya, A., Campos-Gaona, D., Comerford, D., Hur, S. H., Stock, A. & Yue, H.
19/06/14 → 18/09/19
Project: Research