A review of energy efficiency measures within electric motors systems

Trianni, A; Cagno, E; Accordini, D

A review of energy efficiency measures within electric motors systems

Trianni, A

Cagno, E Accordini, D

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Publication Type:: Conference Proceeding
Citation:: Energy Procedia, 2019, 158 pp. 3346 - 3351
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Trianni, A https://orcid.org/0000-0002-1699-7787	en_US
dc.contributor.author	Cagno, E	en_US
dc.contributor.author	Accordini, D	en_US
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	Energy Procedia, 2019, 158 pp. 3346 - 3351	en_US
dc.identifier.issn	1876-6102	en_US
dc.identifier.uri	http://hdl.handle.net/10453/134427
dc.description.abstract	© 2019 The Authors. Published by Elsevier Ltd.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)Peer-review under responsibility of the scientific committee of ICAE2018 The 10th International Conference on Applied Energy. Electric motor systems (EMS) play the lion's share in industrial power consumption. Many opportunities for energy efficiency - most of which apparently cost-effective - can be found, but often decision-makers do not take them as the detail for a specific decision can be too high. In many cases, information regarding the characteristics of such energy efficiency measures (EEMs) is quite vague. For this reason, in the present study we offer a thorough overview of EEMs for EMS, basing on an extensive review of scientific and industrial literature, aimed at offering specific detail over single EEMs and thus support to industrial decision-makers. EEMs are presented according to four main groups, as follows: hardware, motor system drives, management of motors in the plant, and power quality. The new categorization could be helpful to support research for the development of a novel framework to represent the main factors the affect the adoption of EMS for EMS.	en_US
dc.relation.ispartof	Energy Procedia	en_US
dc.relation.isbasedon	10.1016/j.egypro.2019.01.964	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A review of energy efficiency measures within electric motors systems	en_US
dc.type	Conference Proceeding
utslib.citation.volume	158	en_US
utslib.for	0904 Chemical Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	158	en_US

Abstract:

© 2019 The Authors. Published by Elsevier Ltd.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)Peer-review under responsibility of the scientific committee of ICAE2018 The 10th International Conference on Applied Energy. Electric motor systems (EMS) play the lion's share in industrial power consumption. Many opportunities for energy efficiency - most of which apparently cost-effective - can be found, but often decision-makers do not take them as the detail for a specific decision can be too high. In many cases, information regarding the characteristics of such energy efficiency measures (EEMs) is quite vague. For this reason, in the present study we offer a thorough overview of EEMs for EMS, basing on an extensive review of scientific and industrial literature, aimed at offering specific detail over single EEMs and thus support to industrial decision-makers. EEMs are presented according to four main groups, as follows: hardware, motor system drives, management of motors in the plant, and power quality. The new categorization could be helpful to support research for the development of a novel framework to represent the main factors the affect the adoption of EMS for EMS.

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http://hdl.handle.net/10453/134427