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Durham University

Department of Engineering

Staff Profile

Publication details for Dr Christopher Crabtree

Ahmad, T., Smith, C.J., Matthews, P.C., Crabtree, C.J. & 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, EAWE, 131-134.

Author(s) from Durham


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.