The improvement of energy efficiency of 20 % is one of the three objectives of the EU Directive 20-20-20. To reach this goal, all production processes have to be analysed with reference to their energy consumption so as to identify actions aimed at removing or reducing energy wastes. From the Lean Production framework, the variation of the Value Stream Mapping (VSM), the Energy VSM (EVSM) is selected as a useful tool able to highlight the seven types of wastes identified by Ohno in Toyota Production System and energy wastes. This work aims at proposing a possible modification of the EVSM, which encompasses it within the Energy Audit and the Energy Balance Chart. The goal is to realize a deep energy analysis, highlighting energy wastes, in order to understand which corrective actions must be implemented or which corrections to energy reduction should be considered to reduce energy wastes. © IFIP International Federation for Information Processing 2015.

Integrated energy value analysis: A new approach

BETTONI, Laura;MAZZOLDI, Laura;FERRETTI, Ivan;ZAVANELLA, Lucio Enrico;ZANONI, Simone
2015-01-01

Abstract

The improvement of energy efficiency of 20 % is one of the three objectives of the EU Directive 20-20-20. To reach this goal, all production processes have to be analysed with reference to their energy consumption so as to identify actions aimed at removing or reducing energy wastes. From the Lean Production framework, the variation of the Value Stream Mapping (VSM), the Energy VSM (EVSM) is selected as a useful tool able to highlight the seven types of wastes identified by Ohno in Toyota Production System and energy wastes. This work aims at proposing a possible modification of the EVSM, which encompasses it within the Energy Audit and the Energy Balance Chart. The goal is to realize a deep energy analysis, highlighting energy wastes, in order to understand which corrective actions must be implemented or which corrections to energy reduction should be considered to reduce energy wastes. © IFIP International Federation for Information Processing 2015.
2015
978-3-319-22756-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/484120
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