Detection and statistics of gusts

Ásta Hannesdóttir; Mark C. Kelly; Jakob Mann; Anand Natarajan

Detection and statistics of gusts

Ásta Hannesdóttir, Mark C. Kelly, Jakob Mann, Anand Natarajan

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Abstract

In this project, a more realistic representation of gusts, based on statistical analysis, will account for the variability observed in real-world gusts. The gust
representation will focus on temporal, spatial, and velocity scales that are relevant for modern wind turbines and which possibly affect the loads. Emphasis will be put on gust rise time and velocity jump, within the context of extreme as well as normal turbulence.

Original language	English
Publication date	2015
Number of pages	3
Publication status	Published - 2015
Event	11th EAWE PhD seminar on Wind Energy in Europe - Stuttgart, Germany Duration: 23 Sept 2014 → 25 Sept 2015 Conference number: 11

Seminar

Seminar	11th EAWE PhD seminar on Wind Energy in Europe
Number	11
Country/Territory	Germany
City	Stuttgart
Period	23/09/2014 → 25/09/2015

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title = "Detection and statistics of gusts",

abstract = "In this project, a more realistic representation of gusts, based on statistical analysis, will account for the variability observed in real-world gusts. The gustrepresentation will focus on temporal, spatial, and velocity scales that are relevant for modern wind turbines and which possibly affect the loads. Emphasis will be put on gust rise time and velocity jump, within the context of extreme as well as normal turbulence.",

author = "{\'A}sta Hannesd{\'o}ttir and Kelly, {Mark C.} and Jakob Mann and Anand Natarajan",

year = "2015",

language = "English",

note = "11th EAWE PhD seminar on Wind Energy in Europe, EAWE ; Conference date: 23-09-2014 Through 25-09-2015",

}

TY - ABST

T1 - Detection and statistics of gusts

AU - Hannesdóttir, Ásta

AU - Kelly, Mark C.

AU - Mann, Jakob

AU - Natarajan, Anand

N1 - Conference code: 11

PY - 2015

Y1 - 2015

N2 - In this project, a more realistic representation of gusts, based on statistical analysis, will account for the variability observed in real-world gusts. The gustrepresentation will focus on temporal, spatial, and velocity scales that are relevant for modern wind turbines and which possibly affect the loads. Emphasis will be put on gust rise time and velocity jump, within the context of extreme as well as normal turbulence.

AB - In this project, a more realistic representation of gusts, based on statistical analysis, will account for the variability observed in real-world gusts. The gustrepresentation will focus on temporal, spatial, and velocity scales that are relevant for modern wind turbines and which possibly affect the loads. Emphasis will be put on gust rise time and velocity jump, within the context of extreme as well as normal turbulence.

M3 - Conference abstract for conference

T2 - 11th EAWE PhD seminar on Wind Energy in Europe

Y2 - 23 September 2014 through 25 September 2015

ER -

Detection and statistics of gusts

Abstract

Seminar

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