DocumentCode
602137
Title
Energy efficiency improvement adopting synchronous motors
Author
Bianchi, Nicola ; Bottesi, Omar ; Alberti, Luigi
Author_Institution
Dept. of Ind. Eng., Univ. of Padova, Padua, Italy
fYear
2013
fDate
27-30 March 2013
Firstpage
1
Lastpage
7
Abstract
There is a growing interest in adopting electrical motors exhibiting high efficiency. Therefore, induction machines are often replaced by more efficient electrical drive solutions. Variable-speed drives are often chosen instead of the traditional grid-connected solutions, so as to avoid unefficient regulations at constant speed, when the machine operates at part load. This paper aims to compare different types of electric motor drives for high efficiency applications: an induction motor drive, a synchronous reluctance motor drive, and a permanent magnet assisted synchronous reluctance motor drive. The innovative field-oriented analysis technique is applied to estimate the motor drive performance. This method of analysis is particularly advantageous in comparing the induction motor performance to those of synchronous machines. The comparison among the capabilities of the three electric drives is carried out combining both analytical and finite element methods. The analysis strategy adopted has been arranged so as to obtain rapidly the motor drive capability.
Keywords
finite element analysis; induction motor drives; permanent magnet motors; reluctance motor drives; variable speed drives; electric motor drives; energy efficiency improvement; finite element method; high-efficiency applications; induction machines; induction motor drive; innovative field-oriented analysis technique; motor drive capability; motor drive performance estimation; permanent magnet-assisted synchronous reluctance motor drive; synchronous machines; variable-speed drives; Equations; Europe; Loading; Mathematical model; Stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Ecological Vehicles and Renewable Energies (EVER), 2013 8th International Conference and Exhibition on
Conference_Location
Monte Carlo
Print_ISBN
978-1-4673-5269-7
Type
conf
DOI
10.1109/EVER.2013.6521527
Filename
6521527
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