1. ANNEXURE A
« If you can’t measure it … you can’t manage it » The importance of data analytics in the management of water losses
Presentation for the Water Services Forum: 15 May 2019
Presentation by:
Shuntelle Gow
Manager Water Cycle Management
Rand Water

2. Background Business management concept – by Peter Drucker
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Background
Business management concept – by Peter Drucker
Expanded view…. true for water loss management

3. Background DATA and ANALYSIS OF DATA IS IMPORTANT
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Background
DATA and ANALYSIS OF DATA IS IMPORTANT
Data analytics is the science of analyzing raw data - to make conclusions
Techniques and processes of data analytics have been automated into processes and algorithms
Data analytics help a business optimize its performance.

4. Water loss management
Water loss reduction strategies formulated from data analytics
Source: American Water Works Association presentation
Source: Water supplies department – Government of Hong Kong

5. ANNEXURE A
Water loss management
Using data to manage water losses in 4 easy steps
Source and configure real-time data
Identify the right Key Performance Indicators (KPIs)
Clarify your analysis for operational insights
Turn your insights into Action
(Source: Innovyze© white paper)

6. RW strategy for WC/WDM Three pillars: Catchment quantity monitoring
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RW strategy for WC/WDM
Three pillars:
Catchment quantity monitoring
Internal water loss management
Customer water demand management

7. Rand Water’s approach – customer demand management
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Rand Water’s approach – customer demand management
Development of tools and analysis of water demand
RAND WATER DIRECT METERS LOGGED:
SYSTEM INPUT VOLUME 410 Ml/d
ACTIVE USE
123 Ml/d
30% of SIV
Active use 123 Ml/d
MINIMUM NIGHT FLOWS
287 Ml/d 70% of SIV
Normal legitimate
night use -
4.7Ml/d
or 2%
of MNF
Normal Residential night use
3.2 Ml/d or 1% of
MNF
Night consumption
10.7 Ml/d
or 4 %
Legitimate non
residential night use
1.5 Ml/d
or 0.5%
Background leakage
(unavoidable)
6Ml/d or 2%
domestic background leakage
1.3 Ml/d or
0.45%
Background leakage on mains
0.8 Ml/d or
0.3%
Background leakage on connections
3.9 Ml/d
or 1.4%
Night leakage
(bursts and losses) 27 6
.3 Ml/d or 96%
Customer night leakage
estimated at
196.4
Ml/d or
68.43
Night leakage or
losses
276.3 or
96%
Distributi
on system night leakage
79.90 Ml/d
or 27.83

8. Rand Water’s approach – customer demand management
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Rand Water’s approach – customer demand management
Formulated approach based on outputs of data analysis:
Set optimal demand targets for customers = license targets
Monitor and track performance against targets – Project 1600

9. Rand Water’s approach –customer demand management
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Rand Water’s approach –customer demand management
Formulated approach based on outputs of data analysis:
Advise customers on water use efficiency and where improvement measures are required
Monitor and evaluate the effectiveness of customer demand management programmes
Able to consolidate and prioritize for the Region – Aim is consolidation of programmes by all stakeholders
Share knowledge and best practices in the Region
2018 WUE per Depot:
WUEI= 1.46
Depots – exceeds license target the most
Depot – best performance against license target

10. Rand Water’s approach –customer demand management
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Rand Water’s approach –customer demand management
Formulated approach based on outputs of data analysis:
Development or design of regional measures:
WUE as additional criterion for new connection applications
Automated flow management (advance pressure management project with municipalities to target areas with high wastage) – Aim is to enter into agreement with municipalities identified for this project
Municipality
Number of priority bulk meter supply points
Potential Reduction
(Mℓ/d)
City of Ekurhuleni 7 37
City of Johannesburg 24
288
City of Tshwane 13 76
Emfuleni 36
Govan Mbeki 1 3
Mogale City 6
Rustenburg 2 14
Thembisile Hani
Victor Khanye 8
TOTAL 57
472

11. Next steps – customer demand management
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Next steps – customer demand management
Future interventions to be considered
Development of bulk stepped tariff to reduce inefficient consumption
Development of a Regional Information Management System – drive towards integration and accessibility of information

12. Conclusion Utilise data analytics to manage water losses
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Conclusion
Utilise data analytics to manage water losses
Application of sound engineering principles for decisions – eliminate decisions based on perceptions, which may lead to unfair practices
This will ensure that measures applied will be fair and equitable for all customers = Legislative requirement for provision of water services = live by the principle “WATER FOR ALL”
Enhance service delivery
Many more benefits………..

13. References Brochures/articles Images
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References
Brochures/articles
Images
waterworks/reliable-distribution-network/index.html
sch&sa=X&ved=0ahUKEwjY57Xihv3hAhXhRxUIHUWPCeoQ_AUIDigB&biw=1366&bih=67 3#imgrc=XhVYyIVyiEkK5M:&spf=

14. ANNEXURE A
THANK YOU