Cited by 249

Using reanalysis data to quantify extreme wind power generation statistics: A 33 year case study in Great Britain

Cannon, D.J., Brayshaw, D.J., Methven, J., Coker, P.J., Lenaghan, D.·2015·Renewable Energy

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Research works printed but not linked: 26

  1. Mackay DJC. Sustainable energy -without the hot air. UIT Cambridge; 2009.
  2. Sinden G. Characteristics of the UK wind resource: long-term patterns and relationship to electricity demand. Energy Policy 2007;35:112e27.
  3. Earl N, Dorling S, Hewston R, von Glasow R. 1980e2010 variability in u.k. surface wind climate. J Clim 2013;26:1172e91.
  4. Zachary S, Dent C, Brayshaw DJ. Challenges in quantifying wind generation's contribution to securing peak demand. In: IEEE Power and Energy Society General Meeting, Detroit, MI; 2011. p. 1e8.
  5. Brayshaw DJ, Troccoli A, Fordham R, Methven J. The impact of large scale atmospheric circulation patterns on wind power generation and its potential predictability: a case study over the UK. Renew Energy 2011;36:2087e96.
  6. Bett P, Thornton HE, Clark RT. European wind variability over 140 yr. Adv Sci Res 2013;10:51e8. 12th EMS annual meeting and 9th European conference on applied climatology (ECAC) 2012.
  7. Früh W-G. Long-term wind resource and uncertainty estimation using wind records from Scotland as example. Renew Energy 2013;50:1014e26.
  8. Leahy PG, McKeogh EJ. Persistence of low wind speed conditions and impli- cations for wind power variability. Wind Energy 2013;16:575e86.
  9. Kiss P, Varga L, J anosi IM. Comparison of wind power estimates from the ECMWF reanalyses with direct turbine measurements. J Renew Sustain En- ergy 2009;1:033105.
  10. Kubik ML, Brayshaw DJ, Coker PJ, Barlow JF. Exploring the role of reanalysis data in simulating regional wind generation variability over Northern Ireland. Renew Energy 2013;57:558e61.
  11. Staffell I, Green R. How does wind farm performace decline with age? Renew Energy 2014;66:775e86.
  12. Rienecker MM, Suarez MJ, Gelaro R, Todling R, Bacmeister J, Liu E, et al. MERRA -NASA's modern-era retrospective analysis for research and appli- cations. J Clim 2011;24:3624e48.
  13. Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S, et al. The ERA-interim reanalysis: configuration and performance of the data assimila- tion system. Q J R Meteorol Soc 2011;137:553e97.
  14. Decker M, Brunke MA, Wang Z, Sakaguchi K, Zeng X, Bosilovich M. Evaluation of the reanalysis products from GSFC, NCEP, and ECMWF using flux tower observations. J Clim 2012;25:1916e44.
  15. Howard T, Clark P. Correction and downscaling of NWP wind speed forecasts. Meteorol Appl 2007;14:105e16.
  16. Hasche B. General statistics of geographically dispersed wind power. Wind Energy 2010;13:773e84.
  17. Barthelmie RJ, Pryor SC, Frandsen ST, Hansen K, Schepers JG, Rados K, et al. Quantifying the impact of wind turbine wakes on power output at offshore wind farms. J Atmos Ocean Tech 2010;27:1302e17.
  18. Conroy N, Deane JP, Gallach oir PPO. Wind turbine availability: should it be time or energy based? -a case study in Ireland. Renew Energy 2011;36: 2967e71.
  19. Vautard R, Cattiaux J, Yiou P, Th epaut J-N, Clais P. Northern hemisphere at- mospheric stilling partly attributed to an increase in surface roughness. Nat Geosci 2010;3:756e61.
  20. Ely C, Brayshaw DJ, Methven JM, Cox J, Pearce O. Implications of the North Atlantic oscillation for a UK-Norway renewable power system. Energy Policy November 2013;62:1420e7. http://dx.doi.org/10.1016/j.enpol.2013.06.037. · DOI
  21. Masato G, Hoskins BJ, Woolings TJ. Can the frequency of blocking be described by a red noise process? J Atmos Sci 2009;66:2143e9.
  22. Holton JR, Hakim GJ. An introduction to dynamic meteorology. 5th ed. Elsevier Inc.; 2012.
  23. Woolings T, Hannachi A, Hoskins B. Variability of the North Atlantic eddy- driven jet stream. Q J R Meteorol Soc 2010;136:856e68.
  24. Hawkins S, Harrison G. A reanalysis of UK wind speeds using the WRF mesoscale model. In: European Wind Energy Conference and Exhibition (EWEC); 2010.
  25. Quest H. Energy meteorology: stormy times for UK wind power [Master's thesis]. University of Reading; 2013.
  26. Brayshaw DJ, Dent C, Zachary S. Wind generation's contribution to supporting peak electricity demand -meteorological insights. Proc Institution Mech Eng Part O J Risk Reliab 2012;226:44e50.

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Authors
Cannon, D. J., Brayshaw, D. J., Methven, J., Coker, P. J., & Lenaghan, D.
Venue
Renewable Energy
Publisher
Elsevier BV
Published
2015-03
Volume
75
Pages
767-778
ISSN
0960-1481
Cited by
249
References
0
Language
en
Funders
National Grid

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