• DocumentCode
    2145179
  • Title

    Predictive control and optimization applications in a modern cement plant

  • Author

    Boe, Eugene ; McGarel, Steven J. ; Spaits, Tom ; Guiliani, Tom

  • fYear
    2005
  • fDate
    15-20 May 2005
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    A series of software automation applications has been implemented at Capitol Cement´s plant in San Antonio, Texas. These control and optimization applications are implemented on two finish mills and one dry kiln line (including the precalciner and grate cooler). The kiln-cooler controller is designed to maximize production and reduce fuel consumption. It reduces NOx emission as part of a multivariable control solution and improves clinker consistency. All of these applications use neural network models of the individual processes and have proved highly effective in practice, with a very low maintenance burden.
  • Keywords
    calcination; cement industry; industrial plants; kilns; multivariable control systems; neural nets; optimal control; predictive control; Capitol Cement plant; NOx emission; clinker consistency; dry kiln line; finish mills; fuel consumption reduction; grate cooler; kiln-cooler controller; multivariable control; neural network models; optimization; precalciner; predictive control; production maximization; software automation; Application software; Automatic control; Automation; Fuels; Kilns; Milling machines; Neural networks; Predictive control; Production; Temperature control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cement Industry Technical Conference, 2005. Conference Record
  • Print_ISBN
    0-7803-9107-1
  • Type

    conf

  • DOI
    10.1109/CITCON.2005.1516348
  • Filename
    1516348