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An energy monitoring based approach to predict energy wastage in the manufacturing industry

  • Increasing the energy efficiency and meanwhile avoiding unplanned maintenance breaks are keys for manufacturing companies to stay competitive in the future. This paper presents an energy saving and maintenance cost reducing approach for manufacturing environments. The approach describes first occurring types of energy wastage within manufacturing and characterizes them in more detail. Including additional external information, the significance of an identified on-going wastage can be determined. Based on the type of wastage and the significance; concrete recommendations for measures to prevent the wastage are delivered. The identified wastage facilitates detecting inefficient operating mode as well as wearing and malfunctioning at machines. By using complex event processing technologies realtime information can forwarded directly to the responsible persons to enable quick reactions to prevent energy wastage and unplanned downtimes. The paper presents an approach to identify detection and propose concepts for manufacturing enterprises. The information processing procedure is used for the implementation of two Use Cases.

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Metadaten
Author:Volker StichORCiDGND, Sebastian SchmitzGND, Steffen NienkeGND, Jan HickingGND
URL:https://ieeexplore.ieee.org/document/7441087
DOI:https://doi.org/10.1109/eCHALLENGES.2015.7441087
ISBN:978-1-50902-331-8
ISSN:2166-1677
Parent Title (English):Proceedings: eChallenges e-2015 Conference
Publisher:IEEE
Place of publication:Piscataway (NJ)
Editor: IEEE
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2023/08/22
Date of first Publication:2015/10/15
Release Date:2023/08/22
Tag:energy consumption; energy efficiency; machine tools; maintenance engineering; manufacturing; real-time systems
Page Number:10 S.
FIR-Number:-FOLGT-
Name of the conference:eChallenges e-2015 Conference
place of the conference:Vilnius
Date of the conference:25.11.2015-27.11.2015
Institute / Department:FIR e. V. an der RWTH Aachen
Informationsmanagement
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften