WIREs-Energy-and-Environment_Quant_Var_WE - Rev3.pdf (1022.53 kB)
Download file

Quantifying the variability of wind energy

Download (1022.53 kB)
journal contribution
posted on 2015-06-19, 10:51 authored by Simon Watson
Wind by its very nature is a variable element. Its variation is different on different timescales and spatially its magnitude can change dramatically depending on local climatology and terrain. This has implications in a variety of sectors, not least in the wind energy sector. The accuracy of weather forecasting models has increased significantly in the last few decades and these models are able to give an insight into variability on the hourly and daily timescales. On shorter timescales, predicting chaotic turbulent fluctuations is far more challenging. Similarly, the ability to make seasonal forecasts is extremely limited. General circulation models (GCMs) can give insights into possible future decadal fluctuations, but there are still large uncertainties. Observational data can give useful information concerning variation on a variety of timescales, but data quality and spatial coverage can be variable. An understanding of local scale spatial variations in wind is extremely important in wind farm siting. In the last 40 years, there have been significant advances in predicting these variations using computer models, although there remain significant challenges in understanding the behavior of the wind in certain environments. Both the spatial and temporal variations of wind are important considerations when wind power is integrated into electricity networks, and this will become an ever more important consideration as wind generation makes an increasing contribution to our global energy needs.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT

Volume

3

Issue

4

Pages

330 - 342 (13)

Citation

WATSON, S.J., 2014. Quantifying the variability of wind energy. Wiley Interdisciplinary Reviews: Energy and Environment, 3 (4), pp. 330 - 342.

Publisher

© Wiley Periodicals Inc.

Version

SMUR (Submitted Manuscript Under Review)

Publication date

2014

Notes

This is the pre-peer reviewed version of the following article: WATSON, J., 2014. Quantifying the variability of wind energy. Wiley Interdisciplinary Reviews: Energy and Environment, 3 (4), pp. 330 - 342 which has been published in final form at http://dx.doi.org/10.1002/wene.95. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

ISSN

2041-8396

Language

en