Probabilistic Meteorological Characterization for Turbine Loads

Mark C. Kelly; Gunner Chr. Larsen; Nikolay Krasimirov Dimitrov; Anand Natarajan

doi:10.1088/1742-6596/524/1/012076

Probabilistic Meteorological Characterization for Turbine Loads

Research output: Contribution to journal › Conference article › Research › peer-review

693 Downloads (Orbit)

Abstract

Beyond the existing, limited IEC prescription to describe fatigue loads on wind turbines, we look towards probabilistic characterization of the loads via analogous characterization of the atmospheric flow, particularly for today's "taller" turbines with rotors well above the atmospheric surface layer. Based on both data from multiple sites as well as theoretical bases from boundary-layer meteorology and atmospheric turbulence, we offer probabilistic descriptions of shear and turbulence intensity, elucidating the connection of each to the other as well as to atmospheric stability and terrain. These are used as input to loads calculation, and with a statistical loads output description, they allow for improved design and loads calculations.

Original language	English
Article number	012076
Book series	Journal of Physics: Conference Series (Online)
Volume	524
Number of pages	12
ISSN	1742-6596
DOIs	https://doi.org/10.1088/1742-6596/524/1/012076
Publication status	Published - 2014
Event	5th International Conference on The Science of Making Torque from Wind 2014 - Technical University of Denmark, Copenhagen, Denmark Duration: 10 Jun 2014 → 20 Jun 2014 Conference number: 5 http://indico.conferences.dtu.dk/conferenceDisplay.py?confId=138

Conference

Conference	5th International Conference on The Science of Making Torque from Wind 2014
Number	5
Location	Technical University of Denmark
Country/Territory	Denmark
City	Copenhagen
Period	10/06/2014 → 20/06/2014
Internet address	http://indico.conferences.dtu.dk/conferenceDisplay.py?confId=138

Bibliographical note

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd.

Access to Document

10.1088/1742-6596/524/1/012076

Kelly2014 Torque alpha TI correctedAccepted author manuscript, 533 KB
Probabilistic Meteorological CharacterizationFinal published version, 1.03 MB

OpenUrl availability

Full text

Cite this

@inproceedings{42f7ca1dca5544ef965e5bef94ac48c5,

title = "Probabilistic Meteorological Characterization for Turbine Loads",

abstract = "Beyond the existing, limited IEC prescription to describe fatigue loads on wind turbines, we look towards probabilistic characterization of the loads via analogous characterization of the atmospheric flow, particularly for today's {"}taller{"} turbines with rotors well above the atmospheric surface layer. Based on both data from multiple sites as well as theoretical bases from boundary-layer meteorology and atmospheric turbulence, we offer probabilistic descriptions of shear and turbulence intensity, elucidating the connection of each to the other as well as to atmospheric stability and terrain. These are used as input to loads calculation, and with a statistical loads output description, they allow for improved design and loads calculations.",

author = "Kelly, \{Mark C.\} and Larsen, \{Gunner Chr.\} and Dimitrov, \{Nikolay Krasimirov\} and Anand Natarajan",

note = "Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd.; 5th International Conference on The Science of Making Torque from Wind 2014, TORQUE 2014 ; Conference date: 10-06-2014 Through 20-06-2014",

year = "2014",

doi = "10.1088/1742-6596/524/1/012076",

language = "English",

volume = "524",

journal = "Journal of Physics: Conference Series (Online)",

issn = "1742-6596",

publisher = "IOP Publishing",

url = "http://indico.conferences.dtu.dk/conferenceDisplay.py?confId=138",

}

TY - GEN

T1 - Probabilistic Meteorological Characterization for Turbine Loads

AU - Kelly, Mark C.

AU - Larsen, Gunner Chr.

AU - Dimitrov, Nikolay Krasimirov

AU - Natarajan, Anand

N1 - Conference code: 5

PY - 2014

Y1 - 2014

N2 - Beyond the existing, limited IEC prescription to describe fatigue loads on wind turbines, we look towards probabilistic characterization of the loads via analogous characterization of the atmospheric flow, particularly for today's "taller" turbines with rotors well above the atmospheric surface layer. Based on both data from multiple sites as well as theoretical bases from boundary-layer meteorology and atmospheric turbulence, we offer probabilistic descriptions of shear and turbulence intensity, elucidating the connection of each to the other as well as to atmospheric stability and terrain. These are used as input to loads calculation, and with a statistical loads output description, they allow for improved design and loads calculations.

AB - Beyond the existing, limited IEC prescription to describe fatigue loads on wind turbines, we look towards probabilistic characterization of the loads via analogous characterization of the atmospheric flow, particularly for today's "taller" turbines with rotors well above the atmospheric surface layer. Based on both data from multiple sites as well as theoretical bases from boundary-layer meteorology and atmospheric turbulence, we offer probabilistic descriptions of shear and turbulence intensity, elucidating the connection of each to the other as well as to atmospheric stability and terrain. These are used as input to loads calculation, and with a statistical loads output description, they allow for improved design and loads calculations.

UR - https://doi.org/10.11583/DTU.14753349

U2 - 10.1088/1742-6596/524/1/012076

DO - 10.1088/1742-6596/524/1/012076

M3 - Conference article

SN - 1742-6596

VL - 524

JO - Journal of Physics: Conference Series (Online)

JF - Journal of Physics: Conference Series (Online)

M1 - 012076

T2 - 5th International Conference on The Science of Making Torque from Wind 2014

Y2 - 10 June 2014 through 20 June 2014

ER -

Probabilistic Meteorological Characterization for Turbine Loads

Abstract

Conference

Bibliographical note

Access to Document

OpenUrl availability

Other files and links

Fingerprint

Cite this