基于容量和可用性因素的风电机组最优选址匹配

R. Ghajar, R. Chedid, M. Badawieh
{"title":"基于容量和可用性因素的风电机组最优选址匹配","authors":"R. Ghajar, R. Chedid, M. Badawieh","doi":"10.1109/ICCEP.2015.7177632","DOIUrl":null,"url":null,"abstract":"This paper introduces a simple method to enable the selection of the most appropriate wind turbine for given sites in which the values of the Weibull shape parameter k and scale parameter c are known. T he matching between site and turbine characteristics can be optimized by defining two important parameters: The capacity factor Cf, and the availability factor Af. Published wind data of 10 sites are used to perform site matching with a variety of commercially available wind turbine generators by evaluating the capacity factor, availability factor and annual energy output. T his study argues that the incorporation of the availability factor in the turbine-site matching process will have an added value in terms of lowering the overall electric energy production cost of the system due to the fact that although the energy required by system peaking units will remain the same, the number of start-ups and shutdown may be reduced.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Wind turbine optimal site matching based on capacity and availability factors\",\"authors\":\"R. Ghajar, R. Chedid, M. Badawieh\",\"doi\":\"10.1109/ICCEP.2015.7177632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a simple method to enable the selection of the most appropriate wind turbine for given sites in which the values of the Weibull shape parameter k and scale parameter c are known. T he matching between site and turbine characteristics can be optimized by defining two important parameters: The capacity factor Cf, and the availability factor Af. Published wind data of 10 sites are used to perform site matching with a variety of commercially available wind turbine generators by evaluating the capacity factor, availability factor and annual energy output. T his study argues that the incorporation of the availability factor in the turbine-site matching process will have an added value in terms of lowering the overall electric energy production cost of the system due to the fact that although the energy required by system peaking units will remain the same, the number of start-ups and shutdown may be reduced.\",\"PeriodicalId\":423870,\"journal\":{\"name\":\"2015 International Conference on Clean Electrical Power (ICCEP)\",\"volume\":\"133 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Clean Electrical Power (ICCEP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEP.2015.7177632\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Clean Electrical Power (ICCEP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEP.2015.7177632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

本文介绍了一种简单的方法,可以在已知威布尔形状参数k和尺度参数c的情况下,为给定场地选择最合适的风力机。通过定义容量因子Cf和可用因子Af这两个重要参数,可以优化场址与风机特性之间的匹配。利用10个场址公布的风力数据,通过评估容量因子、可用因子和年发电量,与各种市售风力发电机组进行场址匹配。本研究认为,由于系统调峰单元所需的能量保持不变,启动和关闭的次数可能会减少,因此在涡轮机-站点匹配过程中纳入可用性因素将在降低系统整体电能生产成本方面具有附加价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Wind turbine optimal site matching based on capacity and availability factors
This paper introduces a simple method to enable the selection of the most appropriate wind turbine for given sites in which the values of the Weibull shape parameter k and scale parameter c are known. T he matching between site and turbine characteristics can be optimized by defining two important parameters: The capacity factor Cf, and the availability factor Af. Published wind data of 10 sites are used to perform site matching with a variety of commercially available wind turbine generators by evaluating the capacity factor, availability factor and annual energy output. T his study argues that the incorporation of the availability factor in the turbine-site matching process will have an added value in terms of lowering the overall electric energy production cost of the system due to the fact that although the energy required by system peaking units will remain the same, the number of start-ups and shutdown may be reduced.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A single input dual buck-boost output reconfigurable converter for distributed generation Overhead transmission lines dynamic line rating estimation in WAMS environments Fast estimation of MPPs in mismatched PV arrays based on lossless model Frontiers of photovoltaic technology: A review Risk-based probabilistic approach to estimate power system security in the Sicilian context
×
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