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

被引：40

作者：

Barthelmie, R. J. ^{[1
]}

Pryor, S. C. ^{[1
]}

机构：

[1] Indiana Univ, Dept Geol Sci, Atmospher Sci Program, Bloomington, IN 47405 USA

来源：

APPLIED ENERGY | 2013年 / 104卷

基金：

美国国家科学基金会;

关键词：

Wind turbine; Wakes; Measurements; Wind farm; Modeling; WIND TURBINE WAKES; POWER OUTPUT; TURBULENCE; FARMS; SIMULATIONS; ESTIMATORS; PROFILES; IMPACT; ENERGY;

D O I：

10.1016/j.apenergy.2012.12.013

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：834 / 844

页数：11

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