Identification and characterization of decision-making factors over industrial energy efficiency measures in electric motor systems

Accordini, D; Cagno, E; Trianni, A

Identification and characterization of decision-making factors over industrial energy efficiency measures in electric motor systems

Accordini, D Cagno, E Trianni, A

Permalink

Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Renewable and Sustainable Energy Reviews, 2021, 149, pp. 111354-111354
Issue Date:: 2021-10-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 31 Oct 2023

Adobe PDF

Download Accepted manuscriptAdobe PDF (1.65 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Accordini, D
dc.contributor.author	Cagno, E
dc.contributor.author	Trianni, A https://orcid.org/0000-0002-1699-7787
dc.date.accessioned	2021-10-04T20:59:10Z
dc.date.available	2021-10-04T20:59:10Z
dc.date.issued	2021-10-01
dc.identifier.citation	Renewable and Sustainable Energy Reviews, 2021, 149, pp. 111354-111354
dc.identifier.issn	1364-0321
dc.identifier.issn	1879-0690
dc.identifier.uri	http://hdl.handle.net/10453/150826
dc.description.abstract	Energy efficiency measures in electric motor systems are scarcely implemented and previous literature has largely overlooked the characterizing factors responsible for their adoption in industrial operations. The present study, after a comprehensive literature review, aims at supporting research by offering a framework for the identification of the factors that should be assessed when considering the adoption of electric motor systems' energy efficiency measures. The proposed factors are clustered in ten categories, namely: contextual factors, compatibility, economy, energy savings, production-related factors, operations-related factors, synergies, complexity, personnel and additional technical factors. After a preliminary empirical validation, the proposed framework has been applied in a selected sample of manufacturing firms. Findings show that factors more closely related to the firm's production and operations result most critical for the adoption of energy efficiency measures. However, the adoption process is also deeply influenced by their complexity or compatibility to the specific context application, therefore calling for an exhaustive assessment. The adoption of the framework would have reversed some firm's decisions over the initial uptake of energy efficiency measures that proved to have critical issues for their implementation. Therefore, the proposed framework provides additional support and further value to decision-makers especially for non-energy intensive firms, where the impact on non-energy production resources becomes more important, and small-medium enterprises usually present greater difficulties for a holistic assessment of energy efficiency measures. The study concludes with main implications for research and policy-making from the present study as well as suggestions for future research.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Renewable and Sustainable Energy Reviews
dc.relation.isbasedon	10.1016/j.rser.2021.111354
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	09 Engineering
dc.subject.classification	Energy
dc.title	Identification and characterization of decision-making factors over industrial energy efficiency measures in electric motor systems
dc.type	Journal Article
utslib.citation.volume	149
utslib.for	09 Engineering
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/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-10-31T00:00:00+1000Z
dc.date.updated	2021-10-04T20:59:08Z
pubs.publication-status	Accepted
pubs.volume	149

Abstract:

Energy efficiency measures in electric motor systems are scarcely implemented and previous literature has largely overlooked the characterizing factors responsible for their adoption in industrial operations. The present study, after a comprehensive literature review, aims at supporting research by offering a framework for the identification of the factors that should be assessed when considering the adoption of electric motor systems' energy efficiency measures. The proposed factors are clustered in ten categories, namely: contextual factors, compatibility, economy, energy savings, production-related factors, operations-related factors, synergies, complexity, personnel and additional technical factors. After a preliminary empirical validation, the proposed framework has been applied in a selected sample of manufacturing firms. Findings show that factors more closely related to the firm's production and operations result most critical for the adoption of energy efficiency measures. However, the adoption process is also deeply influenced by their complexity or compatibility to the specific context application, therefore calling for an exhaustive assessment. The adoption of the framework would have reversed some firm's decisions over the initial uptake of energy efficiency measures that proved to have critical issues for their implementation. Therefore, the proposed framework provides additional support and further value to decision-makers especially for non-energy intensive firms, where the impact on non-energy production resources becomes more important, and small-medium enterprises usually present greater difficulties for a holistic assessment of energy efficiency measures. The study concludes with main implications for research and policy-making from the present study as well as suggestions for future research.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/150826