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Capturing Energy Efficiency in Iron and Steel Production: an Empirical Analysis Using DEA and MPI
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy and Climate Studies, ECS.ORCID iD: 0000-0002-3618-1259
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy and Climate Studies, ECS.ORCID iD: 0000-0001-7123-1824
2013 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

European iron and steel industries have to work towards increased energy efficiency of production to meet requirements set by EU policies, such as the Energy Efficiency Directive. However, current energy efficiency evaluation tools, such as the Specific Energy Consumption (SEC), give only crude estimates on the improvements in the context of iron and steel production. In this study, we survey the state-of-the-art in Malmquist Productivity Index (MPI) methodology and Data Envelopment Analysis (DEA) techniques to identify an approach that captures the energy efficiency trends in iron and steel production. We found the combination of MPI with slacks-based DEA models to be especially useful in this context. An empirical analysis of European iron and steel production showed energy efficiency improvements of 16 % up until 2007. However, the years of the global economic recession yielded drastic decreases in energy efficiency. These results stand in contrast with the results of the currently used SEC. The analysis considered the time period 1992 – 2010 and each Member State as decision-making-unit

Place, publisher, year, edition, pages
2013.
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-124490OAI: oai:DiVA.org:kth-124490DiVA: diva2:635660
Conference
11th International Conference on Data Envelopment Analysis, 27-30 June 2013, Samsun, Turkey
Note

QC 20140331

Available from: 2013-07-05 Created: 2013-07-05 Last updated: 2016-04-19Bibliographically approved

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Morfeldt, JohannesSilveira, Semida

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