TY  - CONF
A1  - Stich, Volker
A1  - Schmitz, Sebastian
A1  - Nienke, Steffen
A1  - Hicking, Jan
A2  - IEEE, 
T1  - An energy monitoring based approach to predict energy wastage in the manufacturing industry
T2  - Proceedings: eChallenges e-2015 Conference
N2  - 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.
KW  - energy efficiency
KW  - manufacturing
KW  - energy consumption
KW  - real-time systems
KW  - maintenance engineering
KW  - machine tools
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/2796
UR  - https://ieeexplore.ieee.org/document/7441087
SN  - 978-1-50902-331-8
SN  - 2166-1677
PB  - IEEE
CY  - Piscataway (NJ)
ER  -