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Energetic machine tool modeling approach for energy consumption prediction

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 01 Jan 2012Embargo end date: 01 Jan 2012 Switzerland English Publisher:ETH Zurich

Authors: Gontarz, Adam; Züst, Simon; Weiss, Lukas; Wegener, Konrad;

doi: 10.3929/ethz-a-007577766

Energetic machine tool modeling approach for energy consumption prediction

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Abstract

Proceedings of the GCSM 2012 10th Global Conference on Sustainable Manufacturing

ISBN:978-605-63463-0-9

Country

Switzerland

Related Organizations

ETH Zurich
Switzerland

Keywords

Machine tool modeling, STROMBEDARF + ELEKTRIZITÄTSNACHFRAGE (ELEKTROTECHNIK), Energy efficient manufacturing; MACHINE TOOLS AND MACHINERY (MANUFACTURING TECHNOLOGY); Machine tool modeling; Energy consumption; ELECTRICAL ENERGY DEMAND + ELECTRICAL POWER CONSUMPTION; STROMBEDARF + ELEKTRIZITÄTSNACHFRAGE (ELEKTROTECHNIK); WERKZEUGMASCHINEN UND ANLAGEN (FERTIGUNGSTECHNIK); Energy Model, Energy consumption, MACHINE TOOLS AND MACHINERY (MANUFACTURING TECHNOLOGY), WERKZEUGMASCHINEN UND ANLAGEN (FERTIGUNGSTECHNIK), Energy Model, Engineering & allied operations, Energy efficient manufacturing, Engineering & allied operations, ELECTRICAL ENERGY DEMAND + ELECTRICAL POWER CONSUMPTION, info:eu-repo/classification/ddc/620, ddc: ddc:620

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	13
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%