• DocumentCode
    2444623
  • Title

    Estimation of induction motor field efficiency for energy audit and management using genetic algorithm

  • Author

    Aspalli, M.S. ; Shetagar, S.B. ; Kodad, S.F.

  • Author_Institution
    Dept. of Electr. Eng., P.D.A. Coll. of Eng. Gulbarga, Gulbarga
  • fYear
    2008
  • fDate
    Nov. 30 2008-Dec. 3 2008
  • Firstpage
    440
  • Lastpage
    445
  • Abstract
    This paper proposes an economical method that can help the plants to make right decision in replacing the inefficient induction motors with efficient ones. This method focuses on the field efficiency of motors without the needs for removing motors and measuring the output power. The use of a few sets of measured data from field test coupled with the genetic algorithms for evaluating motor equivalent circuit parameter instead of using the no load and blocked-rotor tests is proposed, to illustrate how well the estimated efficiency matches that of calculated obtained from the standard evaluations. Test results indicate that this method has a high accuracy, then it is suitable for conducting onsite energy audits of motors in order to project cost savings and payback and to support a confidence decision regarding the investment in higher efficiency motors. As the cost of energy is growing at a high rate, the industries can save a considerable amount of money by replacing inefficient motors with new more energy-efficient ones.
  • Keywords
    equivalent circuits; genetic algorithms; induction motors; economical method; energy audit; genetic algorithm; induction motor field efficiency; motor equivalent circuit parameter; Circuit testing; Costs; Coupling circuits; Energy management; Equivalent circuits; Genetic algorithms; Induction motors; Power generation; Power generation economics; Power measurement; Diagnostics; Life assessment; Monitoring; refurbishment of power equipments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology, 2008. ICST 2008. 3rd International Conference on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4244-2176-3
  • Electronic_ISBN
    978-1-4244-2177-0
  • Type

    conf

  • DOI
    10.1109/ICSENST.2008.4757144
  • Filename
    4757144