2021
DOI: 10.1016/j.wre.2020.100175
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Saving water at Cape Town schools by using smart metering and behavioral change

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Cited by 23 publications
(10 citation statements)
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References 51 publications
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“…The entry of smart water sensors into the home is a challenge for intelligent water detection. At present, some studies only install smart sensors in some public areas such as schools Visser et al 2021). Most of them only use smart water meters to measure total water consumption (Cardell-Oliver et al 2016), and the recorded data is relatively simple.…”
Section: Recommendationsmentioning
confidence: 99%
“…The entry of smart water sensors into the home is a challenge for intelligent water detection. At present, some studies only install smart sensors in some public areas such as schools Visser et al 2021). Most of them only use smart water meters to measure total water consumption (Cardell-Oliver et al 2016), and the recorded data is relatively simple.…”
Section: Recommendationsmentioning
confidence: 99%
“…Recent studies performed the most comprehensive analysis of water usage and management within schools in the Western Cape (Visser et al 2021;Booysen et al 2019aBooysen et al , 2019b. This included investigating socio-economic effects, behavioural interventions and technical interventions.…”
Section: Related Researchmentioning
confidence: 99%
“…This paper describes the medium-and long-term effects of a campaign that was run at schools during 2017 and 2018 in the run-up to 'Day Zero' in Cape Town. The campaign had a behavioural and maintenance component (Booysen et al 2019b;Visser et al 2021). The objective of this study is to evaluate the long-term effects of technological intervention within schools in the Western Cape and to better define the effects of poverty on a school's water usage.…”
Section: Contributionmentioning
confidence: 99%
“…Digital water meters and Advanced Metering Infrastructure (AMI) have grown in adoption across the water industry ( West Monroe, 2017 ) and provide capabilities to record water consumption data at the account level at medium (hourly) and high (sub-hourly) temporal resolution ( Nguyen, Stewart, Zhang, Sahin, Siriwardene, 2018 , Pesantez, Berglund, Kaza, 2020a ). Analysis of smart water meter data has contributed primarily to demand management, however, as part of conservation programs ( Visser et al., 2021 ), end use modeling ( Bethke et al., 2021 ), and leakage identification approaches ( Booysen et al., 2019 ). Further research is needed to fulfill the promise of digital water in improving the resilience and efficiency of managing infrastructure.…”
Section: Introductionmentioning
confidence: 99%