In Situ Observation of Near-Surface Wind Seasonal Variation on the Southern Coast of Sri Lanka

Author:

Lu Xuancheng1ORCID,Huang Shuyun1,Wang Dongxiao1ORCID,Luo Yao2,Gamage Tilak Priyadarshana3,Kumara P. B. Terney Pradeep3

Affiliation:

1. School of Marine Sciences, Sun Yat-sen University, Zhuhai 519099, China

2. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510000, China

3. Faculty of Fisheries and Marine Sciences & Technology, University of Ruhuna, Matara 810000, Sri Lanka

Abstract

The characteristics of local surface wind are closely related to the assessment of wind power resources and the oscillation period of offshore wind turbines. In this research, we analyzed near-surface wind observation data from the southern coast of Sri Lanka, comparing the surface wind variation characteristics across different seasons. Through spectral analysis, we discuss the wind stability and oscillation period, aiming to provide information for the management strategies and oscillation issues of offshore wind turbines in the North Equatorial Indian Ocean to ensure their stable operation. Our findings showed that the Indian summer monsoon dominated the seasonal surface wind variation in the southern coast of Sri Lanka. The local monsoon period began in mid-May and ended in mid-October, during which stable southwest winds prevailed with an average maximum 10 m wind speed exceeding 6.0 m/s. In contrast, surface wind was unstable and weaker during autumn and winter. The surface wind speed exhibited a clear diurnal oscillation throughout the year. The wind speed power spectral density exhibited clear peaks at periods of 24 h, 12 h, and 6 h.

Funder

Second Tibetan Plateau Scientific Expedition and Research (STEP) program

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Reference31 articles.

1. Wind energy: Trends and enabling technologies;Kumar;Renew. Sustain. Energy Rev.,2016

2. International Energy Agency (IEA) (2012). World Energy Outlook 2012: Renewable Energy Outlook, International Energy Agency (IEA).

3. Wind energy for sustainable development: Driving factors and future outlook;Sadorsky;J. Clean. Prod.,2021

4. Research on a combined model based on linear and nonlinear features—A case study of wind speed forecasting;Zhang;Renew. Energy,2019

5. Estimated Pollution Reduction from Wind Farms in Oklahoma and Associated Economic and Human Health Benefits;Greene;J. Renew. Energy,2013

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