Rapid multidisciplinary, multi-objective optimization of composite horizontal-axis wind turbine blade

S. Jelena, Trivkovic Zorana, Baltic Marija, Pekovic Ognjen
{"title":"Rapid multidisciplinary, multi-objective optimization of composite horizontal-axis wind turbine blade","authors":"S. Jelena, Trivkovic Zorana, Baltic Marija, Pekovic Ognjen","doi":"10.1109/MEDO.2016.7746538","DOIUrl":null,"url":null,"abstract":"A fast and efficient process of integrated design (both aerodynamic and structural) of a composite horizontal-axis wind turbine (HAWT) blade is presented. Multi-objective optimization using a nondeterministic particle swarm method (PSO) has been performed on a composite blade of constant radius to achieve maximal AEP (annual energy production) while keeping minimal blade mass and tip deflection. Outlet parameters include: twist and chord distributions along the blade as well as ply numbers and orientations. A combination of glass and carbon fibers is considered. In the constrained version of this multi-criteria assessment, constraint was defined according to blade failure index. Aerodynamic performances of the blade were estimated by a combined BEMT (blade element momentum theory) approach, while structural computations were performed using finite element method. Although presented results provide insight into the possible values of optimized parameters, the paper also demonstrates the difficulty of simultaneous satisfaction of this many different criteria (both cost functions and constrains).","PeriodicalId":351424,"journal":{"name":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","volume":"312 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEDO.2016.7746538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

A fast and efficient process of integrated design (both aerodynamic and structural) of a composite horizontal-axis wind turbine (HAWT) blade is presented. Multi-objective optimization using a nondeterministic particle swarm method (PSO) has been performed on a composite blade of constant radius to achieve maximal AEP (annual energy production) while keeping minimal blade mass and tip deflection. Outlet parameters include: twist and chord distributions along the blade as well as ply numbers and orientations. A combination of glass and carbon fibers is considered. In the constrained version of this multi-criteria assessment, constraint was defined according to blade failure index. Aerodynamic performances of the blade were estimated by a combined BEMT (blade element momentum theory) approach, while structural computations were performed using finite element method. Although presented results provide insight into the possible values of optimized parameters, the paper also demonstrates the difficulty of simultaneous satisfaction of this many different criteria (both cost functions and constrains).
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
复合材料水平轴风力机叶片多学科、多目标快速优化
提出了一种快速高效的复合材料水平轴风力机叶片气动与结构一体化设计方法。为了在保持叶片质量和叶尖挠度最小的情况下获得最大的AEP(年发电量),采用不确定性粒子群方法对等半径复合叶片进行了多目标优化。出口参数包括:沿叶片的捻度和弦分布以及层数和方向。考虑玻璃纤维和碳纤维的组合。在多准则评估的约束版本中,根据叶片失效指标定义约束。采用叶片单元动量理论(BEMT)对叶片气动性能进行了综合估算,并采用有限元法对叶片进行了结构计算。虽然提出的结果提供了对优化参数可能值的见解,但本文也证明了同时满足这许多不同标准(成本函数和约束)的困难。
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
Efficient nondominated sorting with genetic algorithm for solving multi-objective job shop scheduling problems A survey on smart traffic network control and optimization Advanced power systems — Temperature optimization of district heating network Kickstarting the fab lab ecosystem in Serbia: SciFabLab and FABelgrade conference Applying ensemble neural networks to an inverse problem solution to prosthetic socket pressure measurement
×
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