Title :
A times series model for the aggregate GB wind output circa 2030
Author :
Sturt, A. ; Strbac, G.
Author_Institution :
Imperial Coll., London, UK
Abstract :
We present a four-season model representing the aggregate output of a possible British wind fleet circa 2030, suitable for providing synthetic wind tune series or a statistical characterisation of the short-term transitional statistics. The model is fitted to historic onshore anemometry data, and adjusted to account for offshore generation and the diurnal component of atmospheric stability variations.
Keywords :
anemometry; offshore installations; time series; wind power; AD 2030; British wind fleet; aggregate GB wind output; atmospheric stability variations; diurnal component; four-season model; historic onshore anemometry data; offshore generation; short-term transitional statistics; statistical characterisation; synthetic wind tune series; times series model; Time series analysis; Wind power generation;
Conference_Titel :
Renewable Power Generation (RPG 2011), IET Conference on
Conference_Location :
Edinburgh
DOI :
10.1049/cp.2011.0184
