Open AccessTimes‐series modelling for the aggregate Great Britain wind output circa 2030
Author(s) -
Sturt Alexander,
Strbac Goran
Publication year - 2013
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2012.0040
Subject(s) - series (stratigraphy) , aggregate (composite) , meteorology , environmental science , econometrics , economics , geology , geography , materials science , paleontology , composite material
The authors present a four‐season model representing the aggregate output of a possible British wind fleet circa 2030, suitable for providing synthetic wind time series or a statistical characterisation of the transitional behaviour at timescales of 1 h and above. The model is fitted to an aggregated power output time series derived from historic onshore anemometry data and shown to provide a good fit to both long‐term and transitional statistics. The authors show that the use of a constant factor to extrapolate anemometer‐height wind speeds to hub height leads to an excessive diurnal variation in the implied wind power output. They adjust the model parameters to compensate for this and to account for the offshore component that is not present in the raw data. The complete parameter set is presented.