EconPapers    
Economics at your fingertips  
 

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

R.J. Barthelmie and S.C. Pryor

Applied Energy, 2013, vol. 104, issue C, 834-844

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.

Keywords: Wind turbine; Wakes; Measurements; Wind farm; Modeling (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261912008951
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:104:y:2013:i:c:p:834-844

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2012.12.013

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:appene:v:104:y:2013:i:c:p:834-844