A state-space combined-cycle power plant model and simulation with IAPWS IF-97 properties

Angel A. Recalde, Iván Endara, J. Torres, R. Gallo, Manuel S. Alvarez‐Alvarado, Fernando Vaca-Urbano
{"title":"A state-space combined-cycle power plant model and simulation with IAPWS IF-97 properties","authors":"Angel A. Recalde, Iván Endara, J. Torres, R. Gallo, Manuel S. Alvarez‐Alvarado, Fernando Vaca-Urbano","doi":"10.1109/ETCM.2018.8580293","DOIUrl":null,"url":null,"abstract":"This paper presents an extension of a state-space model for a combined cycle gas turbine (CCGT) power plant in order to include water and steam properties stated by the International Association for Properties of Water and Steam Industrial Formulation 1997 (IAPWS IF-97). The CCGT thermal cycles were implemented using MATLAB XSTEAM IF-97 functions, which provide an accurate steam and water properties within the thermodynamic states model. This model can be used in academia and training environments to test and validate different types of control systems, or even serve as an input for state-estimation methods. Steady state results for this model have been obtained for a generic 20 MW CCGT power plant, as well as a 133 MW steam generation plant in Ecuador. The results reveal that the model provides accurate values for steam flow, temperatures, and power outputs; moreover, the calculated thermodynamic states correspond to actual measurements.","PeriodicalId":334574,"journal":{"name":"2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETCM.2018.8580293","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

This paper presents an extension of a state-space model for a combined cycle gas turbine (CCGT) power plant in order to include water and steam properties stated by the International Association for Properties of Water and Steam Industrial Formulation 1997 (IAPWS IF-97). The CCGT thermal cycles were implemented using MATLAB XSTEAM IF-97 functions, which provide an accurate steam and water properties within the thermodynamic states model. This model can be used in academia and training environments to test and validate different types of control systems, or even serve as an input for state-estimation methods. Steady state results for this model have been obtained for a generic 20 MW CCGT power plant, as well as a 133 MW steam generation plant in Ecuador. The results reveal that the model provides accurate values for steam flow, temperatures, and power outputs; moreover, the calculated thermodynamic states correspond to actual measurements.
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
具有IAPWS IF-97特性的状态空间联合循环电厂模型与仿真
本文对联合循环燃气轮机(CCGT)电厂的状态空间模型进行了扩展,以包括国际水和蒸汽工业配方特性协会1997 (IAPWS IF-97)规定的水和蒸汽特性。利用MATLAB XSTEAM IF-97函数实现了CCGT热循环,该函数在热力学状态模型中提供了精确的蒸汽和水的性质。该模型可用于学术界和培训环境,以测试和验证不同类型的控制系统,甚至可作为状态估计方法的输入。该模型的稳态结果已在厄瓜多尔的一个20兆瓦的通用CCGT发电厂和一个133兆瓦的蒸汽发电厂得到。结果表明,该模型提供了准确的蒸汽流量、温度和功率输出值;此外,计算的热力学状态与实际测量值相对应。
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
Solid Waste Management using Georeferenced Multi-agent Systems* Renewable Energy Source P-V conected to the grid through Shunt Active Power Filter based in P-Q theory Lidar Lite v3 Module Performance Evaluation Analysis of Vehicle Flow Using Auto Vehicle Counting Sign Language Recognition Based on Intelligent Glove Using Machine Learning Techniques
×
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