Spatial characterisation of wind resource using a Bayesian approach

Miranda, Marcos.S., Shaddick, Gavin ORCID: https://orcid.org/0000-0002-4117-4264 and Dunn, Rod.W 2006. Spatial characterisation of wind resource using a Bayesian approach. Presented at: EWEC 2006, Athens, Greece, 27 February - 02 March 2006. Proceedings European Wind Energy Conference and Exhibition 2006. , vol.3 pp. 2221-2227.

Full text not available from this repository.

Abstract

The characterisation of the spatial distribution of the wind resource over a given area has been a subject of great interest, particularly considering the increasing participation of wind power generation in modern power systems. Spatial modelling can be an important tool for assessing wind power integration into the power system and can be used, for example, in the analysis of siting/sizing of wind power plants and their influence on generation adequacy and transmission capability. This paper presents a methodology to characterise the spatiotemporal distribution of the wind which uses a Bayesian approach and is implemented using Markov chain Monte Carlo (MCMC) sampling. The model is built using wind speed data from 5 MetOffice (UK) stations. Estimates are made for another 2 locations (also weather stations, for validation purposes). An additional term, which uses the atmospheric pressure gradient from each location, is introduced as a predictor to the wind. The results from the MCMC simulations are presented and compared with the available data for the predicted locations. Although preliminary, the results are very encouraging, making this approach a feasible alternative for spatial modelling of wind resource, especially if no data is available for the locations of interest.

Item Type:	Conference or Workshop Item (Paper)
Status:	Published
Schools:	?? VCO ??
Subjects:	Q Science > QA Mathematics
ISBN:	9781622764679
Last Modified:	23 Jul 2024 15:15
URI:	https://orca.cardiff.ac.uk/id/eprint/170708

Actions (repository staff only)

Edit Item