Systematic Wind Farm Measurement Data Filtering Tool for Wake Model Calibration

Pierre-Elouan Mikael Rethore; Nicholas Alan Johansen; Sten Tronæs Frandsen; Rebecca Jane Barthelmie; Kurt Schaldemose Hansen; Leo E. Jensen; Mikkel A.B. Bækgaard; Jesper R. Kristoffersen

Systematic Wind Farm Measurement Data Filtering Tool for Wake Model Calibration

Pierre-Elouan Mikael Rethore, Nicholas Alan Johansen, Sten Tronæs Frandsen, Rebecca Jane Barthelmie, Kurt Schaldemose Hansen, Leo E. Jensen, Mikkel A.B. Bækgaard, Jesper R. Kristoffersen

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Abstract

A set of systematic methods for characterizing the sensors of a wind farm and using these sensors to filter more accurately large volumes of measurement data is proposed. These methods are based on the experience accumulated while processing datasets from two large offshore wind farms in Denmark. Both wake model developers and wind farm operators seeking to determine how the wind farm operates under specific conditions can find these methods valuable. The methods are general and can be applied successfully to any wind farm by taking into consideration the specific aspects of each wind farm.

Original language	English
Publication date	2009
Publication status	Published - 2009
Event	European Offshore Wind 2009 - Stockholm, Sweden Duration: 14 Sept 2009 → 16 Sept 2009

Conference

Conference	European Offshore Wind 2009
Country/Territory	Sweden
City	Stockholm
Period	14/09/2009 → 16/09/2009

Keywords

Wind turbines
Wind energy

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@conference{036818fe79684ccc969b6e9c97a04589,

title = "Systematic Wind Farm Measurement Data Filtering Tool for Wake Model Calibration",

abstract = "A set of systematic methods for characterizing the sensors of a wind farm and using these sensors to filter more accurately large volumes of measurement data is proposed. These methods are based on the experience accumulated while processing datasets from two large offshore wind farms in Denmark. Both wake model developers and wind farm operators seeking to determine how the wind farm operates under specific conditions can find these methods valuable. The methods are general and can be applied successfully to any wind farm by taking into consideration the specific aspects of each wind farm.",

keywords = "Wind turbines, Wind energy, Vindm{\o}ller, Vindenergi",

author = "Rethore, {Pierre-Elouan Mikael} and Johansen, {Nicholas Alan} and Frandsen, {Sten Tron{\ae}s} and Barthelmie, {Rebecca Jane} and Hansen, {Kurt Schaldemose} and Jensen, {Leo E.} and B{\ae}kgaard, {Mikkel A.B.} and Kristoffersen, {Jesper R.}",

year = "2009",

language = "English",

note = "European Offshore Wind 2009, EOW 2009 ; Conference date: 14-09-2009 Through 16-09-2009",

}

TY - CONF

T1 - Systematic Wind Farm Measurement Data Filtering Tool for Wake Model Calibration

AU - Rethore, Pierre-Elouan Mikael

AU - Johansen, Nicholas Alan

AU - Frandsen, Sten Tronæs

AU - Barthelmie, Rebecca Jane

AU - Hansen, Kurt Schaldemose

AU - Jensen, Leo E.

AU - Bækgaard, Mikkel A.B.

AU - Kristoffersen, Jesper R.

PY - 2009

Y1 - 2009

N2 - A set of systematic methods for characterizing the sensors of a wind farm and using these sensors to filter more accurately large volumes of measurement data is proposed. These methods are based on the experience accumulated while processing datasets from two large offshore wind farms in Denmark. Both wake model developers and wind farm operators seeking to determine how the wind farm operates under specific conditions can find these methods valuable. The methods are general and can be applied successfully to any wind farm by taking into consideration the specific aspects of each wind farm.

AB - A set of systematic methods for characterizing the sensors of a wind farm and using these sensors to filter more accurately large volumes of measurement data is proposed. These methods are based on the experience accumulated while processing datasets from two large offshore wind farms in Denmark. Both wake model developers and wind farm operators seeking to determine how the wind farm operates under specific conditions can find these methods valuable. The methods are general and can be applied successfully to any wind farm by taking into consideration the specific aspects of each wind farm.

KW - Wind turbines

KW - Wind energy

KW - Vindmøller

KW - Vindenergi

M3 - Poster

T2 - European Offshore Wind 2009

Y2 - 14 September 2009 through 16 September 2009

ER -

Systematic Wind Farm Measurement Data Filtering Tool for Wake Model Calibration

Abstract

Conference

Keywords

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