• DocumentCode
    1737109
  • Title

    Dynamic compressor selection

  • Author

    Bolt, G.D. ; Venter, J. ; van Rensburg, J.F.

  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Various simulation and control software programs are available for modelling of compressed air networks. However, there is presently no software available that combines simulation and control capabilities for optimum compressor selection. This paper describes the development of a compressed air control system that dynamically selects compressors based on their efficiency and position on the compressed air network. Presently the compressor delivery set point is updated daily and consists of a histogram divided into 30 minute intervals. REMS-DCS will replace this system by dynamically changing these set points based on the simulations results. The project is funded through Eskom-IDM (Integrated Demand Management) and will result in a payback of less than one year by providing an estimated average daily power saving of 3.3MW per annum. Other features and products that are derived from the initial REMS-DCS are described and quantified further in this paper.
  • Keywords
    compressed air systems; compressors; demand side management; energy management systems; mining equipment; Eskom-IDM; REMS-DCS; average daily power saving estimation; compressed air control system; compressed air network modelling; compressor delivery set point; control software program; dynamic compressor selection; histogram; integrated demand management; mining; power 3.3 MW; real-time energy management system; time 30 min; Atmospheric modeling; Hardware; Indexes; Platinum; Shafts; Software; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Commercial Use of Energy Conference (ICUE), 2012 Proceedings of the 9th
  • Conference_Location
    Stellenbosch
  • ISSN
    2166-0581
  • Print_ISBN
    978-1-4673-1241-7
  • Type

    conf

  • Filename
    6330148