DocumentCode :
3510292
Title :
Smart energy monitoring and management system for industrial applications
Author :
Collins, Ken ; Mallick, Mahendra ; Volpe, Gualtiero ; Morsi, Walid G.
fYear :
2012
fDate :
10-12 Oct. 2012
Firstpage :
92
Lastpage :
97
Abstract :
The increasing demand especially in intensive industrial energy sectors dictates the development of smarter energy management systems. Industrial customers need to understand their energy consumption for the purpose of reducing energy costs, improving company ecological profile, and suggestive feedback scheduling. In this study, an industrial facility was used to demonstrate the importance of managing the energy consumption. To address this issue, an energy monitoring and management system is developed. First, the energy consumption of individual machines is identified. Second, a graphical user interface and operation scheduling are developed and the feedback is provided to the operator through fuzzy inference system. The results reveal significant savings in consumed energy and in dollars over time through the application of the proposed energy monitoring and management system (EMMS) into industrial facilities in intensive energy sectors.
Keywords :
ecology; energy consumption; energy management systems; fuzzy reasoning; graphical user interfaces; industrial power systems; power engineering computing; scheduling; smart power grids; company ecological profile; energy consumption; energy cost reduction; feedback scheduling; fuzzy inference system; graphical user interface; individual machines; industrial applications; industrial customers; industrial facilities; industrial facility; intensive energy sectors; intensive industrial energy sectors; operation scheduling; smart EMMS; smart energy monitoring and management system; Arrays; Educational institutions; Energy consumption; Graphical user interfaces; Industrial plants; Monitoring; Schedules; Energy management; energy monitoring; smart grid; time of use;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Power and Energy Conference (EPEC), 2012 IEEE
Conference_Location :
London, ON
Print_ISBN :
978-1-4673-2081-8
Electronic_ISBN :
978-1-4673-2079-5
Type :
conf
DOI :
10.1109/EPEC.2012.6474987
Filename :
6474987
Link To Document :
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