Determining the Wind Speed Distribution within a Wind Farm considering Site Wind Characteristics and Wake Effects
Ahmad, T.; Smith, C.J.; Matthews, P.C.; Crabtree, C.J.; Kazemtabrizi, B.
Dr Peter Matthews email@example.com
Professor Christopher Crabtree firstname.lastname@example.org
Dr Behzad Kazemtabrizi email@example.com
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.
Ahmad, T., Smith, C., Matthews, P., Crabtree, C., & Kazemtabrizi, B. (2014). Determining the Wind Speed Distribution within a Wind Farm considering Site Wind Characteristics and Wake Effects.
|Conference Name||10th PhD Seminar on Wind Energy in Europe, EAWE.|
|Conference Location||Orléans, France|
|Acceptance Date||Nov 30, 2014|
|Publication Date||Oct 1, 2014|
|Deposit Date||Dec 19, 2014|
|Publicly Available Date||Aug 16, 2016|
Accepted Conference Proceeding
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