发电系统运行性能指标的设计与开发

Chia-Hung Hsieh, Shu-Wei Liu, Yung-Ching Huang, Wei-Min Lin, Yu-Hung Lin, J. Teng, Wei-Hao Huang
{"title":"发电系统运行性能指标的设计与开发","authors":"Chia-Hung Hsieh, Shu-Wei Liu, Yung-Ching Huang, Wei-Min Lin, Yu-Hung Lin, J. Teng, Wei-Hao Huang","doi":"10.1109/AMCON.2018.8614786","DOIUrl":null,"url":null,"abstract":"The paper classifies the types of power generation systems and analyze the operational data acquired from power generation systems first. Reliability index information and operational status data of power generation systems obtained from Taiwan Power Company is collected and used in this paper. Statistical analysis and comparisons can be used to detect the possible abnormalities. An operational performance index based on the lower heating value and availability of a power generation unit is then proposed and used to quantize and compare the operational performance of the generation unit. From test results, it can be observed that the operational performance grade of power generation systems can be effectively determined and operational performances between different power generation systems can be efficiently compared. The proposed operational performance index will be very helpful for observing and enhancing the operational efficiency and reliability of power generation systems.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Development of an Operational Performance Index for Power Generation Systems\",\"authors\":\"Chia-Hung Hsieh, Shu-Wei Liu, Yung-Ching Huang, Wei-Min Lin, Yu-Hung Lin, J. Teng, Wei-Hao Huang\",\"doi\":\"10.1109/AMCON.2018.8614786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper classifies the types of power generation systems and analyze the operational data acquired from power generation systems first. Reliability index information and operational status data of power generation systems obtained from Taiwan Power Company is collected and used in this paper. Statistical analysis and comparisons can be used to detect the possible abnormalities. An operational performance index based on the lower heating value and availability of a power generation unit is then proposed and used to quantize and compare the operational performance of the generation unit. From test results, it can be observed that the operational performance grade of power generation systems can be effectively determined and operational performances between different power generation systems can be efficiently compared. The proposed operational performance index will be very helpful for observing and enhancing the operational efficiency and reliability of power generation systems.\",\"PeriodicalId\":438307,\"journal\":{\"name\":\"2018 IEEE International Conference on Advanced Manufacturing (ICAM)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Advanced Manufacturing (ICAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMCON.2018.8614786\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMCON.2018.8614786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文首先对发电系统进行了分类,并对发电系统的运行数据进行了分析。本文收集并使用了台湾电力公司提供的发电系统可靠性指标信息和运行状态数据。通过统计分析和比较,可以发现可能存在的异常。在此基础上,提出了一种基于发电机组低热值和可用性的运行性能指标,并用于量化和比较发电机组的运行性能。从试验结果可以看出,可以有效地确定发电系统的运行性能等级,并可以有效地比较不同发电系统之间的运行性能。所提出的运行性能指标对观察和提高发电系统的运行效率和可靠性有很大的帮助。
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
Design and Development of an Operational Performance Index for Power Generation Systems
The paper classifies the types of power generation systems and analyze the operational data acquired from power generation systems first. Reliability index information and operational status data of power generation systems obtained from Taiwan Power Company is collected and used in this paper. Statistical analysis and comparisons can be used to detect the possible abnormalities. An operational performance index based on the lower heating value and availability of a power generation unit is then proposed and used to quantize and compare the operational performance of the generation unit. From test results, it can be observed that the operational performance grade of power generation systems can be effectively determined and operational performances between different power generation systems can be efficiently compared. The proposed operational performance index will be very helpful for observing and enhancing the operational efficiency and reliability of power generation systems.
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
Development of the half-angle divergence metrology applied to the inner-layer exposure facility for PCB industry Preparation of TiO2/Single Layer Grapgene Composite Photoanodes for Dye-Sensitized Solar Cells Simulation of Granular Temperature of Abrasive Particles in the EKF-CMP System Effects of Axial Jet-to-Wall Distance on Flow Behavior and Heat Transfer of a Wall Jet at Low Reynolds Number Supplier Selection for Manufacturing Industries
×
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