{"title":"Assessment of process parameter to improving power plant performance","authors":"Balaram Saha, V. Patel, Kalyan Chaterjee","doi":"10.1109/CIPECH.2014.7019125","DOIUrl":null,"url":null,"abstract":"This paper proposes an assessment of the operational parameters of a thermal power plant to promote effectively & efficient running of the machine while ensuring a degree of compliance with statutory regulations. This study aims to identify the operational gaps associated with running operational parameter in power plant process. It is focused to detect a different thermodynamic variable involved, being multivariate and automatic. For variation of each one of this operational parameters, performance calculations are carried out to configure a database of energy variation. The variable data sets now can be used as assessment criteria based on detecting deviations from a reference system that has been updated during plant-performance tests. Although the most important outcome is the highly precise and valuable information that will be obtained on the live operating mode, leading to ahead improvements in the cycle efficiency and achieved in the overall control system of the thermal plant. The main aim is to detect any abnormality, reacting as quickly as possible to return the plant to a normal operation mode at best efficient manner.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIPECH.2014.7019125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper proposes an assessment of the operational parameters of a thermal power plant to promote effectively & efficient running of the machine while ensuring a degree of compliance with statutory regulations. This study aims to identify the operational gaps associated with running operational parameter in power plant process. It is focused to detect a different thermodynamic variable involved, being multivariate and automatic. For variation of each one of this operational parameters, performance calculations are carried out to configure a database of energy variation. The variable data sets now can be used as assessment criteria based on detecting deviations from a reference system that has been updated during plant-performance tests. Although the most important outcome is the highly precise and valuable information that will be obtained on the live operating mode, leading to ahead improvements in the cycle efficiency and achieved in the overall control system of the thermal plant. The main aim is to detect any abnormality, reacting as quickly as possible to return the plant to a normal operation mode at best efficient manner.