EconPapers    
Economics at your fingertips  
 

Collective Losses of Low Power Cage Induction Motors—A New Approach

Elzbieta Szychta and Leszek Szychta
Additional contact information
Elzbieta Szychta: Department of Electricity Power Plant, UTP University of Science and Technology in Bydgoszcz, 85-796 Bydgoszcz, Poland
Leszek Szychta: Department of Power Electronics, Electric Machines and Drives, UTP University of Science and Technology in Bydgoszcz, 85-796 Bydgoszcz, Poland

Energies, 2021, vol. 14, issue 6, 1-19

Abstract: Energy efficiency of systems of water pumping is a complex problem since efficiency of two distinct interacting systems needs to be combined: water and power supply. This paper introduces a non-intrusive method of calculating the so-called “collective losses” of a cage induction motor. The term “collective losses”, which the authors define, allows for accurate estimation of motor efficiency. Control system of a pump determines operating point of a pumping station, and thus its efficiency. General estimated performance characteristics of a motor, components of a control system, are assumed to serve selection of a range of pumping speed variations. Rotational speed has a direct effect on motor load torque, pump power and head, and thus on motor performance. Hellwig’s statistical method was used to specify characteristics of estimated collective losses on the basis of experimental studies of 21 motors rated at up to 2.2 kW. The results of simulations and experiments are used to verify validity and efficiency of the suggested method. The method is non-intrusive, simple to use, and requires minimum data.

Keywords: energy efficiency; induction motors; motor losses; Hellwig’s method; estimation characteristic; water pump (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/6/1749/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/6/1749/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:6:p:1749-:d:521711

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1749-:d:521711