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Industrial energy efficiency: Using data analytics to monitor excess pump use

Carter, Shane (2016) Industrial energy efficiency: Using data analytics to monitor excess pump use. Masters by Coursework thesis, Murdoch University.

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Abstract

Pumping is a common function in almost all industrial processes and it is often a significant contributor to energy consumption and maintenance costs. In large continuous processes there can be many hundreds of pumps installed, which must be monitored and controlled by control room operators along with potentially thousands of other process variables. In a complex operating environment the status of relatively simple devices, such as pumps, can easily be overlooked. This can result in more pumps being run than is required, which in turn results in results in higher energy cost and increased maintenance requirements. This dissertation details the process, methods and results obtained from a project that used industrial process control information technology to monitor the number of running pumps, produce notifications, and energy calculations when excessive drive use was detected.

Publication Type: Thesis (Masters by Coursework)
Murdoch Affiliation: School of Engineering and Information Technology
Supervisor: Lund, Christopher
URI: http://researchrepository.murdoch.edu.au/id/eprint/40395
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