Ahmad, T. and Smith, C.J. and Matthews, P.C. and Crabtree, C.J. and Kazemtabrizi, B. (2014) 'Determining the wind speed distribution within a wind farm considering site wind characteristics and wake effects.', 10th PhD Seminar on Wind Energy in Europe, EAWE. Orléans, France, 2831 October 2014.
This paper introduces a wind speed model for simulating the distribution of wind speeds within a wind farm. The model combines a macro scale wind speed time series (WSTS) model based on a continuous Markov process with a wake flow model, based on the Jensen model, to produce wind speeds upwind of every wind turbine. This model has been designed for use in the testing of turbine coordinated control algorithms and for use in detailed reliability analysis. An example analysis was carried out to investigate the Annual Energy Not Produced (AENP) due to wake effects on a single string wind farm. It was found that the wakes accounted for a 20.2% reduction in energy production compared to the wakeless scenario, highlighting the need to model these wake effects.
|Item Type:||Conference item (Paper)|
|Full text:||(AM) Accepted Manuscript|
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|Publisher Web site:||https://eawephd2015.sciencesconf.org/|
|Date accepted:||30 November 2014|
|Date deposited:||16 August 2016|
|Date of first online publication:||October 2014|
|Date first made open access:||No date available|
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