Selection of suitable sites for offshore wind farms in the Caspian Sea and choosing the most suitable wind turbine in each area

Author:

Mohammad Shafinejad Mojtaba1ORCID,Abedi Mehrdad1

Affiliation:

1. Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Islamic Republic of Iran

Abstract

In this article, an attempt has been made to indicate suitable sites to construct offshore wind farms in the Caspian Sea. Feasibility studies of alternative offshore wind farms are the main concern for utility companies and researchers. For this study, the data related to wind speed and wind directions are collected from different sources such as satellite maps and metrological data in Iran and Turkey using 3-h measurement period at 10-m height above the sea level. According to this study, 16 sites mostly close to the beach are nominated for constructing the wind farms in the Caspian Sea. In this article, we also demonstrate the plots related to monthly and annual average wind speed as well as dominant wind direction based on statistical analysis. Also, to determine the class of wind in each area, power density and wind energy are provided. Also, besides selecting the appropriate turbine in each area, the power and energy of 11 wind turbines suitable for offshore installations are simulated, and the power and energy of each turbine are estimated. Finally, based on the parameters, maximum power and energy, maximum capacity factor, full load hours of turbine, and the suitable turbine are nominated for each particular area. Finally, considering that the Weibull distribution function is in good agreement with the data from wind speed, wind modeling has been done by this function, and Weibull distribution charts are drawn.

Publisher

SAGE Publications

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Cited by 2 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

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