• DocumentCode
    3431365
  • Title

    A real-time Utilities Management System for optimising cleaning operations in a brewery

  • Author

    Lees, Michael ; Ellen, Robert ; Brodie, Paul ; Steffens, Marc

  • Author_Institution
    Foster´´s Australia, Yatala, QLD
  • fYear
    2009
  • fDate
    10-13 Feb. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Real-time intelligent system technology can be an effective means of optimising industrial operations. A large, intelligent Utilities Management System (UMS) has been developed at Foster´s brewery in Yatala, Australia. The system is based on the G2 real-time intelligent system platform and it contains a number of modules that have been designed to improve the energy and utilities consumption of brewery operations. Of particular interest was the management and optimisation of the brewery´s extensive Clean-In-Place (CIP) systems. The UMS monitors every step of every cycle of each CIP set and its real-time mass balance estimates chemical use and loss. An operator decision support system has also been developed that helps to minimise any redundant cleaning cycles. This system has been instrumental in lowering the bulk caustic soda consumption (per hectolitre of beer) of Yatala brewery by over 57% between the financial years F05 and F08.
  • Keywords
    brewing industry; intelligent manufacturing systems; production management; real-time systems; G2 real-time intelligent system platform; brewery; bulk caustic soda consumption; clean-in-place systems; cleaning operations; intelligent utilities management system; operator decision support system; real time mass balance; real-time utilities management system; Australia; Chemicals; Cleaning; Costs; Energy consumption; Energy efficiency; Energy management; Intelligent systems; Machine intelligence; Real time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2009. ICIT 2009. IEEE International Conference on
  • Conference_Location
    Gippsland, VIC
  • Print_ISBN
    978-1-4244-3506-7
  • Electronic_ISBN
    978-1-4244-3507-4
  • Type

    conf

  • DOI
    10.1109/ICIT.2009.4939519
  • Filename
    4939519