Pressure management leak reduction assessment

Mohr, S; Mukheibir, P

Pressure management leak reduction assessment

Mohr, S Mukheibir, P

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Publication Type:: Report
Citation:: 2015
Issue Date:: 2015-06

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Field	Value	Language
dc.contributor.author	Mohr, S
dc.contributor.author	Mukheibir, P
dc.date.accessioned	2015-07-15T01:56:40Z
dc.date.available	2015-07-15T01:56:40Z
dc.date.issued	2015-06
dc.identifier.citation	2015
dc.identifier.uri	http://hdl.handle.net/10453/36479
dc.description.abstract	The Institute for Sustainable Futures (ISF) was tasked with estimating the actual savings from South East Water’s (SEW) installing pressure reducing valves (PRVs) and the establishment of pressure management zones within SEW’s potable water distribution network. ISF used an algorithm (ISF1) developed to detect changes in flow characteristics in a previous SEW project. The algorithm was able to estimate the average daily saving based on analysis of the consumption for 14 days prior and after the switching on of the pressure management zone (PMA) – as shown in the table below. The algorithm implicitly takes variations in weather and other influences into account in the analysis.
dc.subject	pressure management
dc.subject	water savings
dc.title	Pressure management leak reduction assessment
dc.type	Report
pubs.embargo.period	Not known
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
utslib.copyright.status	open_access

Abstract:

The Institute for Sustainable Futures (ISF) was tasked with estimating the actual savings from South East Water’s (SEW) installing pressure reducing valves (PRVs) and the establishment of pressure management zones within SEW’s potable water distribution network. ISF used an algorithm (ISF1) developed to detect changes in flow characteristics in a previous SEW project. The algorithm was able to estimate the average daily saving based on analysis of the consumption for 14 days prior and after the switching on of the pressure management zone (PMA) – as shown in the table below. The algorithm implicitly takes variations in weather and other influences into account in the analysis.

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