Interannual variability of wind climates and wind turbine annual energy production

Pryor, Sara C.; Shepherd, Tristan J.; Barthelmie, Rebecca J.

doi:https://doi.org/10.5194/wes-3-651-2018

Articles | Volume 3, issue 2

https://doi.org/10.5194/wes-3-651-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-3-651-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 3, issue 2

Research article

|

24 Sep 2018

Research article |

| 24 Sep 2018

Interannual variability of wind climates and wind turbine annual energy production

Sara C. Pryor, Tristan J. Shepherd, and Rebecca J. Barthelmie

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Final revised paper (published on 24 Sep 2018)
Preprint (discussion started on 03 Jul 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Is the inter-annual variability of wind climates height-dependent?', Anonymous Referee #1, 20 Jul 2018
- AC1: 'Response to reviewer #1', S.C. Pryor, 27 Aug 2018
RC2: 'Review of IAV paper', David Pullinger, 25 Jul 2018
- AC2: 'Response to reviewer #2', S.C. Pryor, 27 Aug 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Sara C. Pryor on behalf of the Authors (27 Aug 2018) Author's response Manuscript

ED: Publish as is (02 Sep 2018) by Joachim Peinke

ED: Publish as is (02 Sep 2018) by Jakob Mann (Chief editor)

AR by Sara C. Pryor on behalf of the Authors (02 Sep 2018) Manuscript

Short summary

The interannual variability (IAV) of annual energy production (AEP) from wind turbines due to IAV in wind speeds from proposed wind farms plays a key role in dictating project financing but is only poorly constrained. This study provides improved quantification of IAV over eastern N. America using purpose-performed long-term numerical simulations. It may be appropriate to reduce the IAV applied to preconstruction AEP estimates, which would decrease the cost of capital for wind farm developments.