{"title":"Energy-Saving Analysis for a 600MW Coal-Fired Supercritical Power Plant","authors":"Zhiping Yang, Ning-Ling Wang, Yongping Yang","doi":"10.1109/CISE.2009.5363921","DOIUrl":null,"url":null,"abstract":"This paper mainly studies the energy-saving potential of a 600MW coal-fired supercritical power plant using the energy-loss analysis method. Main factors in the boiler and turbines such as the main steam temperature and pressure, the turbine cylinder efficiency, the condenser pressure and so on are taken as the variables to analyze the system’s thermal and coal consumption rates. In addition, the real operation data at the loads of 75% and 50% are analyzed to trace the added thermal and coal consumptions. These results indicate the energy-saving direction for the system. The analyzing method can also be applied to other power generating systems to analyze the energy loss distributions. Keywordssupercritical unit; energy-loss analysis; energysaving potential; influence factor","PeriodicalId":135441,"journal":{"name":"2009 International Conference on Computational Intelligence and Software Engineering","volume":"21 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Computational Intelligence and Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISE.2009.5363921","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 mainly studies the energy-saving potential of a 600MW coal-fired supercritical power plant using the energy-loss analysis method. Main factors in the boiler and turbines such as the main steam temperature and pressure, the turbine cylinder efficiency, the condenser pressure and so on are taken as the variables to analyze the system’s thermal and coal consumption rates. In addition, the real operation data at the loads of 75% and 50% are analyzed to trace the added thermal and coal consumptions. These results indicate the energy-saving direction for the system. The analyzing method can also be applied to other power generating systems to analyze the energy loss distributions. Keywordssupercritical unit; energy-loss analysis; energysaving potential; influence factor