The Development of Synthetic Wind Series Based on Gaussian and Non Gaussian Statistics

Thomas Woolmington; Keith Sunderland

doi:10.21427/d74v5z

The Development of Synthetic Wind Series Based on Gaussian and Non Gaussian Statistics

Research output: Contribution to conference › Paper › peer-review

Abstract

The ability to summarise the characteristics of turbulence into classical statistical models has long been a cause of intrigue for the wind energy industry. Currently, in the context of wind energy systems, a representation of turbulence is by a singular numerical value, turbulence intensity (TI), but the question is whether a classical statistic has the ability to accurately quantify the turbulence characteristic in question.

Original language	English
DOIs	https://doi.org/10.21427/d74v5z
Publication status	Published - 2014
Event	12th June, 2014 - Dublin, Ireland Duration: 12 Jun 2014 → 12 Jun 2014

Conference

Conference	12th June, 2014
Country/Territory	Ireland
City	Dublin
Period	12/06/14 → 12/06/14

Keywords

turbulence
statistical models
wind energy industry
turbulence intensity
classical statistic

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10.21427/d74v5zLicence: CC BY-NC-SA

Cite this

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abstract = "The ability to summarise the characteristics of turbulence into classical statistical models has long been a cause of intrigue for the wind energy industry. Currently, in the context of wind energy systems, a representation of turbulence is by a singular numerical value, turbulence intensity (TI), but the question is whether a classical statistic has the ability to accurately quantify the turbulence characteristic in question.",

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AU - Sunderland, Keith

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AB - The ability to summarise the characteristics of turbulence into classical statistical models has long been a cause of intrigue for the wind energy industry. Currently, in the context of wind energy systems, a representation of turbulence is by a singular numerical value, turbulence intensity (TI), but the question is whether a classical statistic has the ability to accurately quantify the turbulence characteristic in question.

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KW - statistical models

KW - wind energy industry

KW - turbulence intensity

KW - classical statistic

U2 - 10.21427/d74v5z

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M3 - Paper

T2 - 12th June, 2014

Y2 - 12 June 2014 through 12 June 2014

ER -

The Development of Synthetic Wind Series Based on Gaussian and Non Gaussian Statistics

Abstract

Conference

Keywords

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