Estimation of Wind Turbulence Using Spectral Models

Mohsen Soltani; Torben Knudsen; Thomas Bak

doi:10.1109/CACSD.2011.6044550

Estimation of Wind Turbulence Using Spectral Models

Mohsen Soltani, Torben Knudsen, Thomas Bak

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

2 Citations (Scopus)

Abstract

The production and loading of wind farms are significantly influenced by the turbulence of the flowing wind field. Estimation of turbulence allows us to optimize the performance of the wind farm. Turbulence estimation is; however, highly challenging due to the chaotic behavior of the wind. In this paper, a method is presented for estimation of the turbulence. The spectral model of the wind is used in order to provide the estimations. The suggested estimation approach is applied to a case study in which the objective is to estimate wind turbulence at desired points using the measurements of wind speed outside the wind field. The results show that the method is able to provide estimations which explain more than 50% of the wind turbulence from the distance of about 300 meters.

Original language	English
Journal	IEEE Conference on Computer-Aided Control Systems Design
Pages (from-to)	1197-1201
ISSN	4244-2221
DOIs	https://doi.org/10.1109/CACSD.2011.6044550
Publication status	Published - 2011
Event	2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD) - Denver, Colorado, United States Duration: 28 Sep 2011 → 30 Sep 2011

Conference

Conference	2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD)
Country/Territory	United States
City	Denver, Colorado
Period	28/09/2011 → 30/09/2011

Access to Document

10.1109/CACSD.2011.6044550

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6044550

AEOLUS: Distributed Control of Large-Scale Offshore Wind Farms
Bak, T., Knudsen, T. & N. Soltani, M.
ICT - INFORMATION AND COMMUNICATION TECHNOLOGIES
01/05/2008 → 30/04/2010
Project: Research

Cite this

@inproceedings{55c533fd4d0644b2a93178d50282d04a,

title = "Estimation of Wind Turbulence Using Spectral Models",

abstract = "The production and loading of wind farms are significantly influenced by the turbulence of the flowing wind field. Estimation of turbulence allows us to optimize the performance of the wind farm. Turbulence estimation is; however, highly challenging due to the chaotic behavior of the wind. In this paper, a method is presented for estimation of the turbulence. The spectral model of the wind is used in order to provide the estimations. The suggested estimation approach is applied to a case study in which the objective is to estimate wind turbulence at desired points using the measurements of wind speed outside the wind field. The results show that the method is able to provide estimations which explain more than 50% of the wind turbulence from the distance of about 300 meters. ",

author = "Mohsen Soltani and Torben Knudsen and Thomas Bak",

year = "2011",

doi = "10.1109/CACSD.2011.6044550",

language = "English",

pages = "1197--1201",

journal = "IEEE Conference on Computer-Aided Control Systems Design",

issn = "4244-2221",

note = "null ; Conference date: 28-09-2011 Through 30-09-2011",

}

TY - GEN

T1 - Estimation of Wind Turbulence Using Spectral Models

AU - Soltani, Mohsen

AU - Knudsen, Torben

AU - Bak, Thomas

PY - 2011

Y1 - 2011

N2 - The production and loading of wind farms are significantly influenced by the turbulence of the flowing wind field. Estimation of turbulence allows us to optimize the performance of the wind farm. Turbulence estimation is; however, highly challenging due to the chaotic behavior of the wind. In this paper, a method is presented for estimation of the turbulence. The spectral model of the wind is used in order to provide the estimations. The suggested estimation approach is applied to a case study in which the objective is to estimate wind turbulence at desired points using the measurements of wind speed outside the wind field. The results show that the method is able to provide estimations which explain more than 50% of the wind turbulence from the distance of about 300 meters.

AB - The production and loading of wind farms are significantly influenced by the turbulence of the flowing wind field. Estimation of turbulence allows us to optimize the performance of the wind farm. Turbulence estimation is; however, highly challenging due to the chaotic behavior of the wind. In this paper, a method is presented for estimation of the turbulence. The spectral model of the wind is used in order to provide the estimations. The suggested estimation approach is applied to a case study in which the objective is to estimate wind turbulence at desired points using the measurements of wind speed outside the wind field. The results show that the method is able to provide estimations which explain more than 50% of the wind turbulence from the distance of about 300 meters.

U2 - 10.1109/CACSD.2011.6044550

DO - 10.1109/CACSD.2011.6044550

M3 - Conference article in Journal

SP - 1197

EP - 1201

JO - IEEE Conference on Computer-Aided Control Systems Design

JF - IEEE Conference on Computer-Aided Control Systems Design

SN - 4244-2221

Y2 - 28 September 2011 through 30 September 2011

ER -

Estimation of Wind Turbulence Using Spectral Models

Abstract

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Projects

AEOLUS: Distributed Control of Large-Scale Offshore Wind Farms

Cite this