Performance optimization of a dual-rotor wind turbine system

R. Habash, V. Groza, P. Guillemette
{"title":"Performance optimization of a dual-rotor wind turbine system","authors":"R. Habash, V. Groza, P. Guillemette","doi":"10.1109/EPEC.2010.5697229","DOIUrl":null,"url":null,"abstract":"We are building an efficient and smart wind turbine system. The significant features of this turbine are its dual rotor blade system which is positioned horizontally at upwind and downwind locations, its drive train which is installed horizontally inside the tower with a new efficient induction generator, and its control and safety systems. The project focuses mainly on the methodology to analyze the power flow performance. The scientific literature indicates that a dual-rotor system could extract additional 20–30% power compared to a single rotor system from the same wind stream. Our wind tunnel test indicates that a scaled-down version of the dual-rotor turbine system may produce up to 60% more power than a single-rotor system. Designed for on-site power generation by commercial, industrial, and residential electric users in remote locations, our model uses wind tunnel effect to capture and amplify wind for optimized production of energy. It is intended that this turbine system will be available in tower-mounted design and can capture wind in regions where it has low speed wind. The successful design should allow an economical transition to a utility scale.","PeriodicalId":393869,"journal":{"name":"2010 IEEE Electrical Power & Energy Conference","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Electrical Power & Energy Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEC.2010.5697229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

We are building an efficient and smart wind turbine system. The significant features of this turbine are its dual rotor blade system which is positioned horizontally at upwind and downwind locations, its drive train which is installed horizontally inside the tower with a new efficient induction generator, and its control and safety systems. The project focuses mainly on the methodology to analyze the power flow performance. The scientific literature indicates that a dual-rotor system could extract additional 20–30% power compared to a single rotor system from the same wind stream. Our wind tunnel test indicates that a scaled-down version of the dual-rotor turbine system may produce up to 60% more power than a single-rotor system. Designed for on-site power generation by commercial, industrial, and residential electric users in remote locations, our model uses wind tunnel effect to capture and amplify wind for optimized production of energy. It is intended that this turbine system will be available in tower-mounted design and can capture wind in regions where it has low speed wind. The successful design should allow an economical transition to a utility scale.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
双转子风力发电系统性能优化
我们正在建造一个高效智能的风力涡轮机系统。该水轮机的显著特点是其双转子叶片系统水平定位在上风和下风位置,其传动系统水平安装在塔内与一个新的高效感应发电机,其控制和安全系统。本课题主要研究潮流性能分析的方法。科学文献表明,与单转子系统相比,双转子系统可以从相同的气流中提取额外的20-30%的功率。我们的风洞试验表明,缩小版的双转子涡轮系统可能比单转子系统多产生60%的功率。我们的模型专为偏远地区的商业、工业和住宅电力用户现场发电而设计,利用风洞效应来捕获和放大风,以优化能源生产。它的目的是,这种涡轮机系统将可用于塔式设计,并可以在风速较低的地区捕获风。成功的设计应该允许经济过渡到实用规模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Static security assessment using radial basis function neural networks based on growing and pruning method Fuzzy unit commitment using the Ant Colony Search Algorithm Transient states simulation in power plant auxiliary electrical system A centralized controller to control power demands of electric water heaters for peek shaving of total house-hold power demands Wind power forecasting based on econometrics theory
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1