DocumentCode :
3431365
Title :
A real-time Utilities Management System for optimising cleaning operations in a brewery
Author :
Lees, Michael ; Ellen, Robert ; Brodie, Paul ; Steffens, Marc
Author_Institution :
Foster´´s Australia, Yatala, QLD
fYear :
2009
fDate :
10-13 Feb. 2009
Firstpage :
1
Lastpage :
6
Abstract :
Real-time intelligent system technology can be an effective means of optimising industrial operations. A large, intelligent Utilities Management System (UMS) has been developed at Foster´s brewery in Yatala, Australia. The system is based on the G2 real-time intelligent system platform and it contains a number of modules that have been designed to improve the energy and utilities consumption of brewery operations. Of particular interest was the management and optimisation of the brewery´s extensive Clean-In-Place (CIP) systems. The UMS monitors every step of every cycle of each CIP set and its real-time mass balance estimates chemical use and loss. An operator decision support system has also been developed that helps to minimise any redundant cleaning cycles. This system has been instrumental in lowering the bulk caustic soda consumption (per hectolitre of beer) of Yatala brewery by over 57% between the financial years F05 and F08.
Keywords :
brewing industry; intelligent manufacturing systems; production management; real-time systems; G2 real-time intelligent system platform; brewery; bulk caustic soda consumption; clean-in-place systems; cleaning operations; intelligent utilities management system; operator decision support system; real time mass balance; real-time utilities management system; Australia; Chemicals; Cleaning; Costs; Energy consumption; Energy efficiency; Energy management; Intelligent systems; Machine intelligence; Real time systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 2009. ICIT 2009. IEEE International Conference on
Conference_Location :
Gippsland, VIC
Print_ISBN :
978-1-4244-3506-7
Electronic_ISBN :
978-1-4244-3507-4
Type :
conf
DOI :
10.1109/ICIT.2009.4939519
Filename :
4939519
Link To Document :
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