The Atmospheric Stability Dependence of Far Wakes on the Power Output of Downstream Wind Farms

Author:

Foreman Richard J.1,Cañadillas Beatriz2ORCID,Robinson Nick3

Affiliation:

1. Renewables, UL International GmbH, Kasinoplatz 3, 26122 Oldenburg, Germany

2. Institute of Flight Guidance, Technical University of Braunschweig, 38106 Braunschweig, Germany

3. UL International, Richmond, BC V6V 2V4, Canada

Abstract

Stability-dependent far-field offshore wind-farm wakes are detected in Supervisory Control and Data Acquisition (SCADA) wind power records from wind farms located in the North Sea. The results are used to assess the strengths and weaknesses of the Openwind engineering model, which in turn enables understanding of the wake signal captured by the SCADA data. Two experimental model set-ups are evaluated, the current standard set-up considering a neutral atmosphere and extended for stable conditions, and the other using a new atmospheric stability implementation called the far-wake atmospheric stability model (ASM) previously reported in Energies. The ASM approach enables the identification within wind power records of wakes of length at least 30 km depending on the atmospheric stability. The ASM approach would be useful for assessing which neighboring wind farms are likely to affect the wind turbine power output and to what extent the power output is affected by stability.

Funder

Federal Ministry for Economic Affairs and Climate Action

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference48 articles.

1. Wake measurements at alpha ventus–dependency on stability and turbulence intensity;Westerhellweg;J. Phys. Conf. Ser.,2014

2. A new RANS-based wind farm parametrization and inflow model for wind farm cluster modeling;Kelly;Wind Energy Sci. Discuss.,2022

3. Wind-Turbine and Wind-Farm Flows: A Review;Bastankhah;Bound.-Layer Meteorol.,2020

4. Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development;Lundquist;Nat. Energy,2019

5. Atmospheric turbulence effects on wind-turbine wakes: An LES study;Wu;Energies,2012

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