Secondary flows in the actuator-disk simulation of wind-turbine wakes

Author:

Zehtabiyan-Rezaie Navid1ORCID,Amarloo Ali1ORCID,Abkar Mahdi1ORCID

Affiliation:

1. Department of Mechanical and Production Engineering, Aarhus University , 8200 Aarhus N, Denmark

Abstract

This study explores the generation of secondary flows of Prandtl's second kind in the actuator-disk simulation of wind-turbine wakes. Leveraging large-eddy simulation data and conducting an analysis of the mean streamwise vorticity budget, we uncover the physical mechanisms contributing to this phenomenon. Our investigations attribute the emergence of such flows to the spatial gradients of the Reynolds stresses in the wake downstream of the turbines, which are, in turn, influenced by ground effects. To further investigate the phenomenon, we specifically isolate the impact of secondary flows on the wake by employing a model recognized for its incapacity to capture such dynamics: a two-equation Reynolds-averaged Navier–Stokes (RANS) model founded on the linear eddy-viscosity hypothesis. By comparing the predictions of the RANS model with those of large-eddy simulations and wind-tunnel experiments, we highlight the effect of secondary flows on the wake structure and, in particular, the upward shift of the wake. Motivated by the obtained results, we then enhance the baseline RANS model by introducing a non-linear term within the Reynolds stress tensor. This modification leads to a more accurate representation of Reynolds stresses, enabling the RANS model to capture the secondary flows in the wake. Our analysis emphasizes the importance of employing advanced RANS models in the simulation of wind farms.

Funder

Danmarks Frie Forskningsfond

Danish e-Infrastructure Cooperation

Publisher

AIP Publishing

Reference43 articles.

1. Wind turbine wake aerodynamics;Prog. Aerosp. Sci.,2003

2. Flow structure and turbulence in wind farms;Annu. Rev. Fluid Mech.,2017

3. Wind-turbine and wind-farm flows: A review;Boundary-Layer Meteorol.,2020

4. Wind farm flow control: Prospects and challenges;Wind Energy Sci.,2022

5. Data-driven fluid mechanics of wind farms: A review;J. Renewable Sustainable Energy,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3