An overview of data for wake model evaluation in the Virtual Wakes Laboratory

Rebecca Jane Barthelmie; Sara Pryor

doi:10.1016/j.apenergy.2012.12.013

An overview of data for wake model evaluation in the Virtual Wakes Laboratory

Rebecca Jane Barthelmie, Sara Pryor

Indiana University-Purdue University Indianapolis

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Abstract

Improved prognostic models of wind turbine wakes are essential to improved design of offshore wind farms to maximized power production and minimize turbine fatigue loading. This paper describes the Virtual Wake Laboratory, an online open access resource that provides meteorological and wind farm data for use in wake characterization and wake model evaluation exercises. Specific examples of the types of analyses that can be conducted using these data are given, along with recommendations regarding appropriate metrics to be applied and considerations for wake model evaluation. © 2012 Elsevier Ltd.

Original language	English
Journal	Applied Energy
Volume	104
Pages (from-to)	834-844
ISSN	0306-2619
DOIs	https://doi.org/10.1016/j.apenergy.2012.12.013
Publication status	Published - 2013
Externally published	Yes

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title = "An overview of data for wake model evaluation in the Virtual Wakes Laboratory",

abstract = "Improved prognostic models of wind turbine wakes are essential to improved design of offshore wind farms to maximized power production and minimize turbine fatigue loading. This paper describes the Virtual Wake Laboratory, an online open access resource that provides meteorological and wind farm data for use in wake characterization and wake model evaluation exercises. Specific examples of the types of analyses that can be conducted using these data are given, along with recommendations regarding appropriate metrics to be applied and considerations for wake model evaluation. {\textcopyright} 2012 Elsevier Ltd.",

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AU - Pryor, Sara

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AB - Improved prognostic models of wind turbine wakes are essential to improved design of offshore wind farms to maximized power production and minimize turbine fatigue loading. This paper describes the Virtual Wake Laboratory, an online open access resource that provides meteorological and wind farm data for use in wake characterization and wake model evaluation exercises. Specific examples of the types of analyses that can be conducted using these data are given, along with recommendations regarding appropriate metrics to be applied and considerations for wake model evaluation. © 2012 Elsevier Ltd.

U2 - 10.1016/j.apenergy.2012.12.013

DO - 10.1016/j.apenergy.2012.12.013

M3 - Journal article

SN - 0306-2619

VL - 104

SP - 834

EP - 844

JO - Applied Energy

JF - Applied Energy

ER -

An overview of data for wake model evaluation in the Virtual Wakes Laboratory

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