• DocumentCode
    2170828
  • Title

    Energy and LCC Optimised Design of Compressed Air Systems: A Mixed Integer Optimisation Approach with General Applicability

  • Author

    Friden, H. ; Bergfors, L. ; Bjork, A. ; Mazharsolook, E.

  • Author_Institution
    Organisations, Products & Processes, IVL Swedish Environ. Res. Inst., Stockholm, Sweden
  • fYear
    2012
  • fDate
    28-30 March 2012
  • Firstpage
    491
  • Lastpage
    496
  • Abstract
    Compressed air systems account for much of the total energy use by European industries. Air compressors alone account for over 10% of UK industrial energy use (>;15,000 GWh). Many of these systems are not optimized to save energy and money, and to have more reliable compressed air power. We present here an integrated optimization solution for the design of such systems. The input to the design procedure is an audit of the air usage pattern and the user defined requirements of the compressed air system. A multi-objective optimiser proposes a design solution. It generates candidate system configurations with alternative equipment, minimises, on-the-fly, the energy use of these using a SIMULINK simulator, computes predicted lifecycle cost, and selects the configuration which meets the specifications and gives the lowest 10 year life-cycle cost.
  • Keywords
    compressed air systems; design engineering; integer programming; life cycle costing; European industries; LCC optimised design; SIMULINK simulator; UK industrial energy; air compressors; air usage pattern; compressed air systems; energy design; general applicability; integrated optimization solution; life cycle cost prediction; mixed integer optimisation approach; multiobjective optimiser; on-the-fly; Application software; Atmospheric modeling; Computational modeling; Investments; Mathematical model; Optimization; Web services; Compressed Air System; Life Cycle Design; Life Cycle Engineering; Process Design Optimisation; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2012 UKSim 14th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4673-1366-7
  • Type

    conf

  • DOI
    10.1109/UKSim.2012.74
  • Filename
    6205496