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
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