Can we predict short-term extreme conditions from 10-minute data only?

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

Abstract

In this study we validate a model that predicts extreme wind load conditions relevant for wind turbine design. The input parameters for the model consist of 10-minute wind data, rather than high-frequency measurements that are less available. The model generally predicts lower extreme values than prescribed in the IEC wind turbine safety standard and is therefore of great interest to wind turbine manufacturers. This is the first time this extreme model is validated and the accuracy of the model predictions is estimated.
Original languageEnglish
Publication date2019
Number of pages2
Publication statusPublished - 2019
EventNAWEA/WINDTECH 2019 - University of Massachusetts , Amherst , United States
Duration: 14 Oct 201916 Oct 2019
https://www.naweawindtech2019.org

Conference

ConferenceNAWEA/WINDTECH 2019
LocationUniversity of Massachusetts
CountryUnited States
CityAmherst
Period14/10/201916/10/2019
Internet address

Keywords

  • Extreme events
  • Design load cases
  • 50-year return values
  • IEC standard
  • Validation

Cite this

Hannesdóttir, Á., & Larsen, G. C. (2019). Can we predict short-term extreme conditions from 10-minute data only?. Abstract from NAWEA/WINDTECH 2019, Amherst , United States.
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title = "Can we predict short-term extreme conditions from 10-minute data only?",
abstract = "In this study we validate a model that predicts extreme wind load conditions relevant for wind turbine design. The input parameters for the model consist of 10-minute wind data, rather than high-frequency measurements that are less available. The model generally predicts lower extreme values than prescribed in the IEC wind turbine safety standard and is therefore of great interest to wind turbine manufacturers. This is the first time this extreme model is validated and the accuracy of the model predictions is estimated.",
keywords = "Extreme events, Design load cases, 50-year return values, IEC standard, Validation",
author = "{\'A}sta Hannesd{\'o}ttir and Larsen, {Gunner Chr.}",
year = "2019",
language = "English",
note = "NAWEA/WINDTECH 2019, NAWEA/WINDTECH 2019 ; Conference date: 14-10-2019 Through 16-10-2019",
url = "https://www.naweawindtech2019.org",

}

Hannesdóttir, Á & Larsen, GC 2019, 'Can we predict short-term extreme conditions from 10-minute data only?', NAWEA/WINDTECH 2019, Amherst , United States, 14/10/2019 - 16/10/2019.

Can we predict short-term extreme conditions from 10-minute data only? / Hannesdóttir, Ásta; Larsen, Gunner Chr.

2019. Abstract from NAWEA/WINDTECH 2019, Amherst , United States.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

TY - ABST

T1 - Can we predict short-term extreme conditions from 10-minute data only?

AU - Hannesdóttir, Ásta

AU - Larsen, Gunner Chr.

PY - 2019

Y1 - 2019

N2 - In this study we validate a model that predicts extreme wind load conditions relevant for wind turbine design. The input parameters for the model consist of 10-minute wind data, rather than high-frequency measurements that are less available. The model generally predicts lower extreme values than prescribed in the IEC wind turbine safety standard and is therefore of great interest to wind turbine manufacturers. This is the first time this extreme model is validated and the accuracy of the model predictions is estimated.

AB - In this study we validate a model that predicts extreme wind load conditions relevant for wind turbine design. The input parameters for the model consist of 10-minute wind data, rather than high-frequency measurements that are less available. The model generally predicts lower extreme values than prescribed in the IEC wind turbine safety standard and is therefore of great interest to wind turbine manufacturers. This is the first time this extreme model is validated and the accuracy of the model predictions is estimated.

KW - Extreme events

KW - Design load cases

KW - 50-year return values

KW - IEC standard

KW - Validation

M3 - Conference abstract for conference

ER -

Hannesdóttir Á, Larsen GC. Can we predict short-term extreme conditions from 10-minute data only?. 2019. Abstract from NAWEA/WINDTECH 2019, Amherst , United States.