S. Mitra, S. Bandopadhyay, S. Majumdar, M. Gangadaran, U. Bhaskar, B. Chakraborty, B. Santra, N. Neogi
{"title":"Mathematical model based coking control system","authors":"S. Mitra, S. Bandopadhyay, S. Majumdar, M. Gangadaran, U. Bhaskar, B. Chakraborty, B. Santra, N. Neogi","doi":"10.1109/IAS.2004.1348406","DOIUrl":null,"url":null,"abstract":"A mathematical model based coking control system has been developed and implemented at coke oven battery no. 3 of Bhilai Steel Plant, Steel Authority of India Ltd., India. The mathematical model predicts and controls the thermal regime of coke oven battery. The key components of the control system are mathematical model, coke oven identification system, coking index determination and coke mass temperature measurement system. The application of the system has resulted in energy saving, coke quality improvement and enhanced battery life. This paper describes in details the methodology followed in the development of mathematical model and its implementation in industry.","PeriodicalId":131410,"journal":{"name":"Conference Record of the 2004 IEEE Industry Applications Conference, 2004. 39th IAS Annual Meeting.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the 2004 IEEE Industry Applications Conference, 2004. 39th IAS Annual Meeting.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS.2004.1348406","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
A mathematical model based coking control system has been developed and implemented at coke oven battery no. 3 of Bhilai Steel Plant, Steel Authority of India Ltd., India. The mathematical model predicts and controls the thermal regime of coke oven battery. The key components of the control system are mathematical model, coke oven identification system, coking index determination and coke mass temperature measurement system. The application of the system has resulted in energy saving, coke quality improvement and enhanced battery life. This paper describes in details the methodology followed in the development of mathematical model and its implementation in industry.