Smart Metering Enables Effective Demand Management Design

Ross, K; Delaney, CC; Beard, N; Fuller, K; Mohr, S; Mitchell, C

Smart Metering Enables Effective Demand Management Design

Ross, K

Delaney, CC Beard, N Fuller, K Mohr, S Mitchell, C

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Publisher:: Hallmark Editions
Publication Type:: Journal Article
Citation:: Water, 2014, August 2014 pp. 81 - 87
Issue Date:: 2014-08-01

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Field	Value	Language
dc.contributor.author	Ross, K https://orcid.org/0000-0002-3445-6079	en_US
dc.contributor.author	Delaney, CC	en_US
dc.contributor.author	Beard, N	en_US
dc.contributor.author	Fuller, K	en_US
dc.contributor.author	Mohr, S	en_US
dc.contributor.author	Mitchell, C https://orcid.org/0000-0001-9842-540X	en_US
dc.date.issued	2014-08-01	en_US
dc.identifier.citation	Water, 2014, August 2014 pp. 81 - 87	en_US
dc.identifier.issn	0310-0367	en_US
dc.identifier.uri	http://hdl.handle.net/10453/35137
dc.description.abstract	The water demand and water use practices of each community are different. Designing cost-effective demand management programs requires investigating and responding directly to the unique water issues and opportunities of each community (Turner et al., 2010). As presented in this paper, a `mixed method baseline analysis' has proven to be valuable in developing a demand management program tailored to the distinctive community context. A mixed method baseline analysis is comprised of two interlinked components: (i) quantitative smart meter data analysis to create a detailed understanding of the water demand pro¬file; and (ii) qualitative social research to understand the social, cultural and institutional influences that drive existing water patterns. This paper shares the mixed method baseline analysis and resulting implications for a demand management program implemented in the remote Indigenous community of Gunbalanya, Northern Territory, in 2013.	en_US
dc.publisher	Hallmark Editions	en_US
dc.relation.ispartof	Water	en_US
dc.title	Smart Metering Enables Effective Demand Management Design	en_US
dc.type	Journal Article
utslib.citation.volume	August 2014	en_US
utslib.location.activity	Australia	en_US
utslib.for	1605 Policy and Administration	en_US
dc.location.activity	Australia
pubs.embargo.period	Not known	en_US
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
pubs.organisational-group	/University of Technology Sydney/Strength - ISF - Institute for Sustainable Futures
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.volume	August 2014	en_US

Abstract:

The water demand and water use practices of each community are different. Designing cost-effective demand management programs requires investigating and responding directly to the unique water issues and opportunities of each community (Turner et al., 2010). As presented in this paper, a `mixed method baseline analysis' has proven to be valuable in developing a demand management program tailored to the distinctive community context. A mixed method baseline analysis is comprised of two interlinked components: (i) quantitative smart meter data analysis to create a detailed understanding of the water demand pro¬file; and (ii) qualitative social research to understand the social, cultural and institutional influences that drive existing water patterns. This paper shares the mixed method baseline analysis and resulting implications for a demand management program implemented in the remote Indigenous community of Gunbalanya, Northern Territory, in 2013.

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http://hdl.handle.net/10453/35137