Recommendations for load validation of an offshore wind turbine with the use of statistical data: experience from alpha ventus

The present paper provides insight into the validation of computer models used for simulations of offshore wind turbines. The offshore turbines are affected by environmental conditions that must be logged during the measurement campaign of the prototype and used for the simulations during the valida...

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Bibliographic Details
Published in:Journal of physics. Conference series 2016-09, Vol.749 (1), p.12017
Main Authors: Guzmán, Ricardo Faerron, Cheng, Po Wen
Format: Article
Language:English
Subjects:
Data analysis
Offshore
Offshore energy sources
Outliers (statistics)
Physics
Simulation
Wind turbines
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Summary:The present paper provides insight into the validation of computer models used for simulations of offshore wind turbines. The offshore turbines are affected by environmental conditions that must be logged during the measurement campaign of the prototype and used for the simulations during the validation process. A simple generic methodology is presented to be used for the comparison of statistical data from the measurement campaign and the simulations. This allows a better analysis of the simulations and helps limit the apparition of outliers in the measurements. An example of the use of the methodology is provided with the use of the data recorded for the AD5-116 5MW turbine at alpha ventus. For it, the turbine power, operational parameters and blade and tower loads are compared.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/749/1/012017