On the wind blade's surface roughness due to dust accumulation and its impact on the wind turbine's performance: A heuristic QBlade‐based modeling assessment

Author:

Papadopoulou Kalliopi1,Alasis Christos2,Xydis George A.3ORCID

Affiliation:

1. School of Pure and Applied SciencesOpen University of Cyprus Nicosia Cyprus

2. Soft Energy Applications & Environmental Protection LabPiraeus University of Applied Sciences Athens Greece

3. Department of Business Development and TechnologyAarhus University Herning Denmark

Publisher

Wiley

Subject

General Environmental Science,Waste Management and Disposal,Water Science and Technology,General Chemical Engineering,Renewable Energy, Sustainability and the Environment,Environmental Chemistry,Environmental Engineering

Reference33 articles.

1. World Wind Energy Association (WWEA). Wind Power Capacity Worldwide Reaches 600 GW 53 9 GW added in 2018.https://wwindea.org/blog/2019/02/25/wind-power-capacity-worldwide-reaches-600-gw-539-gw-added-in-2018/. Accessed April 27 2019.

2. PechlivanoglouG FuehrS NayeriCN PaschereitCO.The effect of distributed roughness on the power performance of wind turbines. InProceedings of ASME IGTI Turbo Expo 2010 ASME/IGTI; June 14–18 2010; Glasgow Scotland UK ASME.

3. Modeling of Energy and Exergy Efficiencies of a Wind Turbine Based on the Blade Element Momentum Theory Under Different Roughness Intensities

4. SKIRON model University of Athens Dust Forecast 2015.http://forecast.uoa.gr/dustindx.php?domain=med. Accessed August 9 2018.

5. Effect of surface contamination on the performance of a section of a wind turbine blade

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Variability of Middle East springtime dust events between 2011 and 2022;Air Quality, Atmosphere & Health;2024-01-23

2. A method of convolutional neural network based on frequency segmentation for monitoring the state of wind turbine blades;Theoretical and Applied Mechanics Letters;2023-11

3. California’s electric grid nexus with the environment;International Journal of Emerging Electric Power Systems;2023-09-29

4. Airborne dust-induced performance degradation in NREL phase VI wind turbine: a numerical study;International Journal of Green Energy;2023-08-20

5. Design vertical axis wind turbine rotorblade and simulation in (DMS) approach by Q-blade software;PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY;2023

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