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IJAT Vol.10 No.5 pp. 717-726
doi: 10.20965/ijat.2016.p0717
(2016)

Paper:

Machine Tool Energy Efficiency – A Component Mapping-Based Approach

Timo Schudeleit, Simon Züst, Lukas Weiss, and Konrad Wegener

Institute of Machine Tools and Manufacturing (IWF), ETH Zürich
Technoparkstrasse 1, 8005 Zürich, Switzerland

Corresponding author

Received:
March 5, 2016
Accepted:
June 13, 2016
Published:
September 5, 2016
Keywords:
energy efficiency, machine tools, sustainable manufacturing
Abstract

The European Commission outlined the energy-related products (ErPs) meant to be labelled and regulated in order to achieve the goals to reduce the European amount of CO2-emissions by 20% by 2020 compared to projections. Machine tools (MTs) fulfill all mandatory criteria to be categorized as ErP, namely: significant sales volume, significant environmental impact and significant improvement potential. However, the energy consumption and energy efficiency of MTs strongly depend on their utilization. A generic evaluation approach for quantifying a MT’s energy efficiency is still under development by the working group ISO/TC 39/WG 12, which drives forward the ISO 14955 series for environmental evaluation of MTs.
This work presents an approach for a generic energy efficiency evaluation of MTs. Component-specific behavior is investigated and aggregated in order to entirely describe the power consumption of a MT for any utilization by power mapping. Power maps contain all possible operational scenarios under the condition of the component boundaries. The approach allows a generic MT evaluation independent on the utilization and forms the base for future MT energy efficiency labelling. The presented approach is applied and validated in a practical case study.

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Cite this article as:
Timo Schudeleit, Simon Züst, Lukas Weiss, and Konrad Wegener, “Machine Tool Energy Efficiency – A Component Mapping-Based Approach,” Int. J. Automation Technol., Vol.10, No.5, pp. 717-726, 2016
Timo Schudeleit, Simon Züst, Lukas Weiss, and Konrad Wegener, Int. J. Automation Technol., Vol.10, No.5, pp. 717-726, 2016

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