An investigation of winding temperature on a wind generator by using empirical model

Y. N. Zaiazmin, K. Ismail, M. A. Manan, Atikah Haji Awang, N. N. Ayop
{"title":"An investigation of winding temperature on a wind generator by using empirical model","authors":"Y. N. Zaiazmin, K. Ismail, M. A. Manan, Atikah Haji Awang, N. N. Ayop","doi":"10.1109/PECON.2016.7951669","DOIUrl":null,"url":null,"abstract":"Permanent magnet generators are the majority source of commercial electrical energy. With the recent reduction in the price of high performance magnet, it is made possible to construct a high efficiency compact generator. The problem with the compact generator is the temperature management. Too high magnet temperature could lead to irreversible demagnetization of the permanent magnet material. This paper proposes a method to formulate an empirical model based on the simulation data. Ansys Fluent software is used to simulate the heating and the cooling effects inside the generator. Design of Experiment is used to plan the experimental run so that the results are sufficient enough to formulate a linear or a nonlinear model. The formulated empirical model shows a good prediction of the winding coil temperature with the percentage of difference of less than 5 % for the natural convection cooling.","PeriodicalId":259969,"journal":{"name":"2016 IEEE International Conference on Power and Energy (PECon)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Power and Energy (PECon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PECON.2016.7951669","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

Permanent magnet generators are the majority source of commercial electrical energy. With the recent reduction in the price of high performance magnet, it is made possible to construct a high efficiency compact generator. The problem with the compact generator is the temperature management. Too high magnet temperature could lead to irreversible demagnetization of the permanent magnet material. This paper proposes a method to formulate an empirical model based on the simulation data. Ansys Fluent software is used to simulate the heating and the cooling effects inside the generator. Design of Experiment is used to plan the experimental run so that the results are sufficient enough to formulate a linear or a nonlinear model. The formulated empirical model shows a good prediction of the winding coil temperature with the percentage of difference of less than 5 % for the natural convection cooling.
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
基于经验模型的风力发电机绕组温度研究
永磁发电机是商用电能的主要来源。随着近年来高性能磁体价格的下降,构造高效紧凑型发电机成为可能。紧凑型发电机的问题是温度管理。磁体温度过高会导致永磁材料的不可逆退磁。本文提出了一种基于仿真数据建立经验模型的方法。利用Ansys Fluent软件对发电机内部的加热和冷却效果进行了模拟。实验设计用于计划实验运行,使结果足以形成线性或非线性模型。所建立的经验模型对自然对流冷却的绕组温度有较好的预测效果,预测误差小于5%。
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
A carrier-based PWM with synchronous switching technique for a vienna rectifier Denoising technique for partial discharge signal : A comparison performance between artificial neural network, fast fourier transform and discrete wavelet transform Simulation analysis of an improved cascaded multilevel inverter topology A review on basic principle of lightning location in multi-station system and the ability of single-station measurement Microgeneration of electrical energy using piezoelectric from car movement
×
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