IEA-Task 31 WAKEBENCH: Towards a protocol for wind farm flow model evaluation. Part 2: Wind farm wake models

The Science of Making Torque from Wind 2014

Moriarty, Patrick^1 ; Rodrigo, Javier Sanz^2 ; Gancarski, Pawel^2 ; Chuchfield, Matthew^2 ; Naughton, Jonathan W^3 ; Hansen, Kurt S^4 ; MacHefaux, Ewan^4 ; Maguire, Eoghan^4 ; Castellani, Francesco^5 ; Terzi, Ludovico^6 ; Breton, Simon-Philippe^7 ; Ueda, Yuko^8

NREL National Renewable Energy Laboratory, United States^1

CENER National Renewable Energy Centre, United Kingdom^2

Univeristy of Wyoming, United States^3

DTU-Wind Technical University of Denmark, Denmark^4

University of Perugia, Italy^5

Sorgenia Green, Italy^6

Uppsala University, Sweden^7

Wind Energy Institute of Tokyo, Japan^8

关键词: Axisymmetric wakes;    International energy agency;    Microscale levels;    Model benchmarking;    Model evaluation;    Processing procedures;    Similarity theory;    Validation approach;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/524/1/012185/pdf
DOI  :  10.1088/1742-6596/524/1/012185

来源: IOP

【 摘 要 】

Researchers within the International Energy Agency (IEA) Task 31: Wakebench have created a framework for the evaluation of wind farm flow models operating at the microscale level. The framework consists of a model evaluation protocol integrated with a web-based portal for model benchmarking (www.windbench.net). This paper provides an overview of the building-block validation approach applied to wind farm wake models, including best practices for the benchmarking and data processing procedures for validation datasets from wind farm SCADA and meteorological databases. A hierarchy of test cases has been proposed for wake model evaluation, from similarity theory of the axisymmetric wake and idealized infinite wind farm, to single-wake wind tunnel (UMN-EPFL) and field experiments (Sexbierum), to wind farm arrays in offshore (Horns Rev, Lillgrund) and complex terrain conditions (San Gregorio). A summary of results from the axisymmetric wake, Sexbierum, Horns Rev and Lillgrund benchmarks are used to discuss the state-of-the-art of wake model validation and highlight the most relevant issues for future development.