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Exploring the role of reanalysis data in simulating regional wind generation variability over Northern Ireland

Author

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  • Kubik, M.L.
  • Brayshaw, D.J.
  • Coker, P.J.
  • Barlow, J.F.

Abstract

As wind generation increases, system impact studies rely on predictions of future generation and effective representation of wind variability. A well-established approach to investigate the impact of wind variability is to simulate generation using observations from 10 m meteorological mast-data. However, there are problems with relying purely on historical wind-speed records or generation histories: mast-data is often incomplete, not sited at a relevant wind generation sites, and recorded at the wrong altitude above ground (usually 10 m), each of which may distort the generation profile. A possible complimentary approach is to use reanalysis data, where data assimilation techniques are combined with state-of-the-art weather forecast models to produce complete gridded wind time-series over an area.

Suggested Citation

  • Kubik, M.L. & Brayshaw, D.J. & Coker, P.J. & Barlow, J.F., 2013. "Exploring the role of reanalysis data in simulating regional wind generation variability over Northern Ireland," Renewable Energy, Elsevier, vol. 57(C), pages 558-561.
    • Handle: RePEc:eee:renene:v:57:y:2013:i:c:p:558-561
    DOI: 10.1016/j.renene.2013.02.012
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    References listed on IDEAS

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