Energy End-Use Categorization and Performance Indicators for Energy Management in the Engineering Industry

Energy efficiency (EE) improvement is one of the most crucial elements in the decarbonization of industry. EE potential within industries largely remains untapped due to the lack of information regarding potential EE measures (EEM), knowledge regarding energy use, and due to the existence of some in...

Full description

Bibliographic Details
Main Authors:	Fayas Malik Kanchiralla, Noor Jalo, Simon Johnsson, Patrik Thollander, Maria Andersson
Format:	Article
Language:	English
Published:	MDPI AG 2020-01-01
Series:	Energies
Subjects:	energy use industry taxonomy emission
Online Access:	https://www.mdpi.com/1996-1073/13/2/369

id	doaj-877fcf305b9d498187fcc3c941be0e7d
record_format	Article
spelling	doaj-877fcf305b9d498187fcc3c941be0e7d2020-11-25T01:45:51ZengMDPI AGEnergies1996-10732020-01-0113236910.3390/en13020369en13020369Energy End-Use Categorization and Performance Indicators for Energy Management in the Engineering IndustryFayas Malik Kanchiralla0Noor Jalo1Simon Johnsson2Patrik Thollander3Maria Andersson4Department of Management and Engineering, Division of Energy Systems, Linköping University, SE-581 83 Linköping, SwedenDepartment of Management and Engineering, Division of Energy Systems, Linköping University, SE-581 83 Linköping, SwedenDepartment of Management and Engineering, Division of Energy Systems, Linköping University, SE-581 83 Linköping, SwedenDepartment of Management and Engineering, Division of Energy Systems, Linköping University, SE-581 83 Linköping, SwedenDepartment of Management and Engineering, Division of Energy Systems, Linköping University, SE-581 83 Linköping, SwedenEnergy efficiency (EE) improvement is one of the most crucial elements in the decarbonization of industry. EE potential within industries largely remains untapped due to the lack of information regarding potential EE measures (EEM), knowledge regarding energy use, and due to the existence of some inconsistencies in the evaluation of energy use. Classification of energy end-using processes would increase the understanding of energy use, which in turn would increase the detection and deployment of EEMs. The study presents a novel taxonomy with hierarchical levels for energy end-use in manufacturing operations for the engineering industry, analyzes processes in terms of energy end-use (EEU) and CO<sub>2</sub> emissions, and scrutinizes energy performance indicators (EnPIs), as well as proposing potential new EnPIs that are suitable for the engineering industry. Even though the study has been conducted with a focus on the Swedish engineering industry, the study may be generalizable to the engineering industry beyond Sweden.https://www.mdpi.com/1996-1073/13/2/369energy useindustrytaxonomyemission
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Fayas Malik Kanchiralla Noor Jalo Simon Johnsson Patrik Thollander Maria Andersson
spellingShingle	Fayas Malik Kanchiralla Noor Jalo Simon Johnsson Patrik Thollander Maria Andersson Energy End-Use Categorization and Performance Indicators for Energy Management in the Engineering Industry Energies energy use industry taxonomy emission
author_facet	Fayas Malik Kanchiralla Noor Jalo Simon Johnsson Patrik Thollander Maria Andersson
author_sort	Fayas Malik Kanchiralla
title	Energy End-Use Categorization and Performance Indicators for Energy Management in the Engineering Industry
title_short	Energy End-Use Categorization and Performance Indicators for Energy Management in the Engineering Industry
title_full	Energy End-Use Categorization and Performance Indicators for Energy Management in the Engineering Industry
title_fullStr	Energy End-Use Categorization and Performance Indicators for Energy Management in the Engineering Industry
title_full_unstemmed	Energy End-Use Categorization and Performance Indicators for Energy Management in the Engineering Industry
title_sort	energy end-use categorization and performance indicators for energy management in the engineering industry
publisher	MDPI AG
series	Energies
issn	1996-1073
publishDate	2020-01-01
description	Energy efficiency (EE) improvement is one of the most crucial elements in the decarbonization of industry. EE potential within industries largely remains untapped due to the lack of information regarding potential EE measures (EEM), knowledge regarding energy use, and due to the existence of some inconsistencies in the evaluation of energy use. Classification of energy end-using processes would increase the understanding of energy use, which in turn would increase the detection and deployment of EEMs. The study presents a novel taxonomy with hierarchical levels for energy end-use in manufacturing operations for the engineering industry, analyzes processes in terms of energy end-use (EEU) and CO<sub>2</sub> emissions, and scrutinizes energy performance indicators (EnPIs), as well as proposing potential new EnPIs that are suitable for the engineering industry. Even though the study has been conducted with a focus on the Swedish engineering industry, the study may be generalizable to the engineering industry beyond Sweden.
topic	energy use industry taxonomy emission
url	https://www.mdpi.com/1996-1073/13/2/369
work_keys_str_mv	AT fayasmalikkanchiralla energyendusecategorizationandperformanceindicatorsforenergymanagementintheengineeringindustry AT noorjalo energyendusecategorizationandperformanceindicatorsforenergymanagementintheengineeringindustry AT simonjohnsson energyendusecategorizationandperformanceindicatorsforenergymanagementintheengineeringindustry AT patrikthollander energyendusecategorizationandperformanceindicatorsforenergymanagementintheengineeringindustry AT mariaandersson energyendusecategorizationandperformanceindicatorsforenergymanagementintheengineeringindustry
_version_	1725022251181408256

Energy End-Use Categorization and Performance Indicators for Energy Management in the Engineering Industry

Similar Items