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Running Dry: Smart Water
and Leak Detection
Steven Windsor
March 2013March 2013
1 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Agenda
 Global Survey: Water stress barriers & answersGlobal Survey: Water stress, barriers & answers
 Defining “smart water”
 The analytical foundationy
 Detecting leaks – reducing losses
 The business case
2 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Survey Details
The Economist Intelligence Unit conducted a survey of 244 senior
water utility executives across the ten countries under review.
All respondents hailed from the management function of their
businesses, with close to one-half (45%) consisting of C-suite
tiexecutives.
Organizations of all sizes were polled: 13% have annual revenue in
excess of US$1bn, while 40% are firms with under US$250m in
revenuerevenue.
Nearly one-half (48%) are owned by either the state or a local
municipality; the balance are privately owned, barring 6% which
operate as public private partnershipsoperate as public-private partnerships.
3 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Increased water stress is a foregone conclusion
For most water utilities, increased water stress by 2030 is
a foregone conclusion.
About four in ten executives (39%) polled for this report
think that, given current trends, national water demandg
in their countries will outstrip supply by 2030.
A further 54% think such a risk is moderately likely ButA further 54% think such a risk is moderately likely. But
the nature of such stress varies hugely, depending on
local circumstances.
•
4 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Increased water productivity is the core
To ensure sufficient supplies, utilities are making wide-
ranging productivity improvements—everything from
plugging leaks to recycling more waterplugging leaks to recycling more water.
Investments are rising as well.g
Across the ten countries polled, 93% of respondents say
they are increasing their investment in water production
facilities.facilities.
More than one in five (22%) utilities surveyed will increase
i t t b 15% i th t thinvestment by 15% or more in the next three years.
5 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Wasteful consumer behavior is largest barrier
Across much of the world, water flows out of taps at almost no cost to
the user.
Nearly half (45%) of utilities—especially in developed markets—see
this as their biggest barrier to progress, while a further 33% believe
that tariffs are too low to stimulate greater investment..g
In developing countries, a lack of capital for investment tops the list of
concerns (selected by 41%), while worries over climate change areconcerns (selected by 41%), while worries over climate change are
close behind (38%).
Regulatory difficulties along with persistent difficulties in attracting theRegulatory difficulties, along with persistent difficulties in attracting the
right skills, further deepen the challenge.
6 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
A far greater focus on demand management is
expectedexpected
The historical response to rising water demand has beenThe historical response to rising water demand has been
to build up supply and distribution networks, but much
more emphasis is now being put on cutting water use.
From both a strategic and technological perspective, new
metering and usage awareness programmes top themetering and usage awareness programmes top the
measures utilities believe will help reduce use.
Such measures are effective: research suggests a 10-
15% average drop in usage once a meter is installed.
7 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
The water industry is experiencing a quiet
boom in innovationboom in innovation
Worldwide, utilities are experimenting with new
techniques such as improved desalination and aquifertechniques, such as improved desalination and aquifer
recharging methods.
Desalination innovations are appearing in far-flung
locations, from California to Queensland.
Network sensors and smart meters, which often link back
to consumers’ smart phones are helping utilities both toto consumers smart phones, are helping utilities both to
moderate demand and to find costly leaks more
accurately.
Nonetheless, more than one in three (36%) utilities
surveyed say they are generally unaware of the
innovation options available to them.
8 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
o at o opt o s a a ab e to t e
Water Interdependencies
Sustainability & Climate
• Water & Waste Cycle
Growing
Population density
Growing
Energy needs
Growing
Personal Mobility
• Water & Waste Cycle
• Energy conservation
• Emissions
management
Growing
Urbanization
Uncertain
Fuel Supply
Growing
Aging Society
Urbanization & Mobility
• Smart Homes
• Smart Transport
Al t dUrbanizationFuel Supply Aging Society
• Always connected
Energy & Resources
Growing
Commodity Prices
Growing
Resource needs
Growing
Global Warming
• Smart Grid & Meters
• Renewable energy
• Demand management
9 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
The history of smart water
For the past 20 years, water monitoring has included real-
time control and supervision, and advanced hydrological
modellingmodelling.
But technology and needs have grown We now have:But technology, and needs, have grown. We now have:
• Ubiquitous availability of IT and Communication resources
• Continous deployment of advanced sensing and actuators
• More data enabling new services and actionable insights
• Constantly increasing demand and expansion of distribution
• Regulatory compliance of water quality and sustainability and CO2
emissions,
• Need CAPEX/OPEX balancing and long-term investment & maintenance
planning
10 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Defining Smart Water: A System of Systems
Network: Sensors, Meters and actuators deployed throughout the grid
Communication: Low latency, Multi-Modal, real-time communication links
Data Acquisition: Validation, supervision and complex event processing
Information: Dashboards of Key Performance Indicators, Trackers
Asset & Service: Maintenance strategies, field service and schedule optimization
Simulation: What-If scenario analysis weather network planningSimulation: What If scenario analysis, weather, network planning
Sense Data Inform Act
11 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Setting The Analytical Foundation
Integrated
Analytic
Applications
Integrated
Analytic
Applications
Any Data,
Any Source
Any Data,
Any Source
Full Range of
Analytics
Full Range of
Analytics
On Tablet
On Mobile
On Device
On Tablet
On Mobile
On Device
12 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Defining The Analytical Objectives
Business Performance
Customer
Business and Revenue 
Management
Operational 
Performance
Customer 
Satisfaction
Reduced Cost
Structures
Sustainable
AssetsOperation
Performance
Infrastructure
Reliability Compliance & 
Growth
Employee
Engagement
Sustainable
Business
Defining the dashboard for the different lines of business:
• Customer: Interactions, satisfaction, revenue, days sales outstanding
S i N b f l i t i l ti l ti
Network Performance
• Service: Number of complaints, issue resolution, escalations
• Finance: Cost recovery, plan/actual deviation, project performance
• Operation: Response time, schedule adherence, service complaints
• Maintenance: Availability, pipe breaks, Unaccounted for Water, order completion
13 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Defining The Reference Model
What?  Activity 
Reference Model
(Simplified example)
Leveraging the
full Range of
Water Utility
Leveraging the
full Range of
Water Utility
Activities
Unreported
Timely Interval Reads?
type
What % normal 
reads?
How much?  
Avg completion time? 
(Simplified example)
Data SourcesData Sources
Performance
Planed / actual
Devices
Measurements
Unreported 
usage?
Installation 
What % without measurements?
Most frequent exceptions?Event type distribution?
Events &
ExceptionsNetwork
Model
status? 
SCADA
Real‐Time
Technologies
Relational Multi-Dimensional Unstructured
Technologies
14 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Moving from Insights to Action
Content
Leveraging the
full Range of
Water Utility
Leveraging the
full Range of
Water Utility
Data SourcesData Sources
ToolsTools
Unstructured
Analytics
Reporting &
Analysis
Modeling &
Planning
Predictive
Analytics
15 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Understanding the Water Balance
Billed 
Authorized
Billed Metered Consumption Revenue
W tAuthorized
Consumption
Consumption WaterBilled Unmetered Consumption
Unbilled 
Authorized
Consumption
Unbilled Metered Consumption
Unbilled Unmetered Consumption
System
Input
Volume Non‐Revenue
Water
W L
Commercial / 
Apparent
Losses
Unauthorized Consumption
Customer Meter Inaccuracies,
Data, Billing and Accounting Errors
Water Losses
Physical / 
Real
Losses
Leakage on Transmission and Distribution Mains
Leakage and Overflows at Reservoirs
Leakage on service connections up to metering
Non‐Revenue Water = System Input Volume – Billed 
Authorized Consumption
16 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Reasons for Apparent Losses
Current Annual Apparent 
Losses
Economical Level
• Customer meter inaccuracies
• Unauthorized consumption and  Economical Level
Unavoidable 
p
illegal connections, theft and fraud
• Data analysis errors between 
hi t i l t l d billi d t Apparent 
Losses
historical, actual and billing data
• Data collection and transfer errors 
between meter and billing system
Analytical Insight Transforming Data into Reduction of Apparent Losses
17 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Managing Real Losses
Potentially Recoverable 
Real Losses
Economical Level of
• Active leakage  management
• Improving speed and quality of ALR Economical Level of 
Real Losses
Unavoidable 
Improving  speed and quality of ALR
Awareness, Location, Repair
• Optimization of the pressure 
t i th t Real Lossesmanagement in the system
• Increased asset reliability and 
economical maintenance strategygy
Analytical Insight Transforming Data into Reduction of Real Losses
18 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Strategies for Reducing Losses
Rationalizing the criteria and priorities toward a NRW reduction strategy:
• Economics: Determining the cost of NRW versus the cost of water
P A t d l i f b i d b t ti• Process: Assessment and analysis of business processes and best practices
• Integration: Integration of business, engineering and operational areas
• Data Analytics: Transforming data silos into actionable business insights
Cumulative water lost over time
NRW – Cost Assessment ALR – Process Assessment
Economic
Level of NRW
Total Cost = Cost of Water lost +
Cost of NRW Management
C t f t l t
Cumulative water lost over time
ofWaterLost
Cost of water lost
Cost of NRW
Management
NRW
Costs
Awareness Location Repair
Volumeo
Time
19 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
DMA – District Metering Area
Improving the Network Topology
FROM: Open Water Network System
Water is fed from different water treatment plants into an interconnectedWater is fed from different water treatment plants into an interconnected
pipe network. NRW can only be approximated for the entire system.
TO: Zoned Water Network Systems (DMA)
The pipe network is divided into smaller and hydraulically isolated zones which
allow a more accurate and manageable NRW calculation.
DMA d i id tiDMA design consideration
• Size of the DMA (number of connections, pipe length, etc.)
• Network configuration (number of flow meters, number of valves)
• Topographic features (urban, rural, ground level variations, etc.)
• Data Loggers (flows, pressure, legitimate night flows, sonar, etc.)
• Establishing and calibrating a hydrological flow model
20 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
NRW: Active Management
SCADA / GISSCADA / GIS NETWORKNETWORK ERP / EAM/ CISERP / EAM/ CISSCADA / GISSCADA / GIS
Telemetry Feeds
Dispatch Tracking
Storm and Weather
Hydrologic / Pressure Data
NETWORKNETWORK
Work & Service Performance
Grid Model / Geo-Coding
Hydrological/Pressure Model
District Metering Area
ERP / EAM/ CISERP / EAM/ CIS
Customer Billing Records
Meter Data and Location
Link Consumption & Address
Financial & Tariff Information
Water Cycle and Water Balance Insight
Hydrologic / Pressure Data
Sanitation levels
Valve/Pump/Reservoir Feeds
District Metering Area
Loggers & Asset conditions
Meter testing & Certification
Financial & Tariff Information
Asset History & Performance
Water Cycle and Water Balance Insight
G SG S SCADA / W thSCADA / W th
Model
Updates
Real-Time
GIS
CAD
Planning System
Manual / One-Lines
GIS
CAD
Planning System
Manual / One-Lines
SCADA / Weather
Field Operations & Mobile
Enterprise Asset Performance
Grid Sensors / Valve Controls
SCADA / Weather
Field Operations & Mobile
Enterprise Asset Performance
Grid Sensors / Valve Controls
21 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Customer Information SystemCustomer Information System
ALR: Awareness – Location – Repair
Resource Planning and Scheduling Common Dispatching Functionality Mobile Communication Platform
• Real‐time scheduling for optimal 
assignments and routing
T k i t t l
• Web browser based Dispatcher 
interface
C t t d i KPI’ d l t t
• Best practice workflows for field 
resources using a wide variety of 
mobile devices
• Takes into account complex 
factors and rules such as skills, 
timing, location, cost goals, etc
• Scheduling without boundaries
• Context driven KPI’s and alerts to 
allow for exception based 
Dispatching
• Map Viewer to show crews, their 
activities, their routes
• Secure asynchronous 
communication
• Store and forward for 
disconnected completions when 
22 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
necessary
District Metering Area: Analytical Approach
Actionable insight:
R d i NRW
gBilling
• Reducing NRW
Levels
• From leak detection
to pipe rehabilitation
Metering
• Prioritization of
budgets and
investments
• Improved asset life
Network
• Improved asset life
via pressure
management
• Safeguarding
N
Data Inform Act
continuous supply
and water quality
23 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Suggestions on Where to Start
First Step: Implementation CostsFirst Step:
• Establishing high level
cost / benefit matrix
• Technical assessment of current
situation and performance
Implementation Costs
High Medium Low
Impact
High
•Leakage on mains
•Leakage on service 
connections
•Unauthorized
consumption
•Unbilled metered 
consumption
• Organized processes for
collecting, normalizing, geo-tagging
and associating data
Second Step:
NRW Volume I
Medium
•Customer meter 
replacement
•Customer metering 
inaccuracies and data 
handling errors
•Pressure 
Management
Low
•Reservoir leakage
•Unbilled unmetered 
consumption
•Reservoir overflows
Second Step:
• Validating /adjusting data with
real measurements
• Calibrating network model
• Reviewing analytical approach and integrity of NRW-calculations
I i ALR d billi
p
• Improving ALR and billing processes
Third Step: Monitoring and institutionalizing continuous improvement process
24 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Key figures for business justification
Water – Loss Reduction
• Reduced costs from water loss and increase revenues
• Reducing energy and chemical consumptionReducing energy and chemical consumption
• Increase billing accuracy
Increased Asset Performance
I t l it d l t f
NRW
decreases
Investments
are made in
Revenue
increase and
• Increase asset longevity and lower cost of
maintenance
• Improved Infrastructure leakage Index (ILI)
• Reduced pipe breaks / faster ALR turnaround time
are made in
further NRW
reduction
programs
Expenditure
is increased
to include
operational
increase and
operational
Cost
decrease
educed p pe b ea s / aste tu a ou d t e
Better Service
• Guaranteeing continuous quality water supply
Reduction of waterborne diseases (biological mineral chemical
p
improvement
• Reduction of waterborne diseases (biological, mineral, chemical
contamination)
• Improved water service quality (pressure, coloration, odor, salination, etc.)
25 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Moving from Reactive to Proactive
• Quality Incidents
• Leakage
P ti
• Preventive Asset planning• Asset Integrity
Objectives
Prevention
• Reducing ALR-
Time
• DMA Monitoring
• Network & Pressure
Modeling
• Optimizing DMA setups
Asset Integrity
• Grid Performance
• Financial Results
Analysis &
D i i
Historical
Reactive
Decision
Proactive
Decision
Predictive
Decisions Assessment
Decision
Making
Decision
Making
Assessment
t = 0 Future TimePast Time
Timeframe Current
Conditions
26 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
t 0 Future TimePast Time
Moving beyond 2013
• Smart Water Networks exist, but still need to become standard and widely adopted
• AquaEconomics – investments into intelligence are understood & largely ROI positive
• Communication and communication links are becoming part of Smart City platforms
• Data acquisition is benefitting from IoT electricity and ICT innovations• Data acquisition is benefitting from IoT, electricity and ICT innovations
• Analytics has evolved from a passive data holder into a new business resource
BUT
A Solid ICT Platform and high fidelity Data Analytics are needed to achieve sustainedA Solid ICT Platform and high fidelity Data Analytics are needed to achieve sustained
NRW reductions, active leakage prevention and real-time Water Balance insight.
Sense Data Inform Act
27 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
Questions
When the well
is dry, we know
the worth ofthe worth of
water.
Benjamin Franklin
(1706 90)(1706-90)
28 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.
29 Copyright © 2012, Oracle and/or its affiliates. All rights
reserved. Oracle Proprietary and Confidential.

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Running Dry: Smart Water and Leak Detection

  • 1. Running Dry: Smart Water and Leak Detection Steven Windsor March 2013March 2013 1 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 2. Agenda  Global Survey: Water stress barriers & answersGlobal Survey: Water stress, barriers & answers  Defining “smart water”  The analytical foundationy  Detecting leaks – reducing losses  The business case 2 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 3. Survey Details The Economist Intelligence Unit conducted a survey of 244 senior water utility executives across the ten countries under review. All respondents hailed from the management function of their businesses, with close to one-half (45%) consisting of C-suite tiexecutives. Organizations of all sizes were polled: 13% have annual revenue in excess of US$1bn, while 40% are firms with under US$250m in revenuerevenue. Nearly one-half (48%) are owned by either the state or a local municipality; the balance are privately owned, barring 6% which operate as public private partnershipsoperate as public-private partnerships. 3 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 4. Increased water stress is a foregone conclusion For most water utilities, increased water stress by 2030 is a foregone conclusion. About four in ten executives (39%) polled for this report think that, given current trends, national water demandg in their countries will outstrip supply by 2030. A further 54% think such a risk is moderately likely ButA further 54% think such a risk is moderately likely. But the nature of such stress varies hugely, depending on local circumstances. • 4 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 5. Increased water productivity is the core To ensure sufficient supplies, utilities are making wide- ranging productivity improvements—everything from plugging leaks to recycling more waterplugging leaks to recycling more water. Investments are rising as well.g Across the ten countries polled, 93% of respondents say they are increasing their investment in water production facilities.facilities. More than one in five (22%) utilities surveyed will increase i t t b 15% i th t thinvestment by 15% or more in the next three years. 5 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 6. Wasteful consumer behavior is largest barrier Across much of the world, water flows out of taps at almost no cost to the user. Nearly half (45%) of utilities—especially in developed markets—see this as their biggest barrier to progress, while a further 33% believe that tariffs are too low to stimulate greater investment..g In developing countries, a lack of capital for investment tops the list of concerns (selected by 41%), while worries over climate change areconcerns (selected by 41%), while worries over climate change are close behind (38%). Regulatory difficulties along with persistent difficulties in attracting theRegulatory difficulties, along with persistent difficulties in attracting the right skills, further deepen the challenge. 6 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 7. A far greater focus on demand management is expectedexpected The historical response to rising water demand has beenThe historical response to rising water demand has been to build up supply and distribution networks, but much more emphasis is now being put on cutting water use. From both a strategic and technological perspective, new metering and usage awareness programmes top themetering and usage awareness programmes top the measures utilities believe will help reduce use. Such measures are effective: research suggests a 10- 15% average drop in usage once a meter is installed. 7 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 8. The water industry is experiencing a quiet boom in innovationboom in innovation Worldwide, utilities are experimenting with new techniques such as improved desalination and aquifertechniques, such as improved desalination and aquifer recharging methods. Desalination innovations are appearing in far-flung locations, from California to Queensland. Network sensors and smart meters, which often link back to consumers’ smart phones are helping utilities both toto consumers smart phones, are helping utilities both to moderate demand and to find costly leaks more accurately. Nonetheless, more than one in three (36%) utilities surveyed say they are generally unaware of the innovation options available to them. 8 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential. o at o opt o s a a ab e to t e
  • 9. Water Interdependencies Sustainability & Climate • Water & Waste Cycle Growing Population density Growing Energy needs Growing Personal Mobility • Water & Waste Cycle • Energy conservation • Emissions management Growing Urbanization Uncertain Fuel Supply Growing Aging Society Urbanization & Mobility • Smart Homes • Smart Transport Al t dUrbanizationFuel Supply Aging Society • Always connected Energy & Resources Growing Commodity Prices Growing Resource needs Growing Global Warming • Smart Grid & Meters • Renewable energy • Demand management 9 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 10. The history of smart water For the past 20 years, water monitoring has included real- time control and supervision, and advanced hydrological modellingmodelling. But technology and needs have grown We now have:But technology, and needs, have grown. We now have: • Ubiquitous availability of IT and Communication resources • Continous deployment of advanced sensing and actuators • More data enabling new services and actionable insights • Constantly increasing demand and expansion of distribution • Regulatory compliance of water quality and sustainability and CO2 emissions, • Need CAPEX/OPEX balancing and long-term investment & maintenance planning 10 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 11. Defining Smart Water: A System of Systems Network: Sensors, Meters and actuators deployed throughout the grid Communication: Low latency, Multi-Modal, real-time communication links Data Acquisition: Validation, supervision and complex event processing Information: Dashboards of Key Performance Indicators, Trackers Asset & Service: Maintenance strategies, field service and schedule optimization Simulation: What-If scenario analysis weather network planningSimulation: What If scenario analysis, weather, network planning Sense Data Inform Act 11 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 12. Setting The Analytical Foundation Integrated Analytic Applications Integrated Analytic Applications Any Data, Any Source Any Data, Any Source Full Range of Analytics Full Range of Analytics On Tablet On Mobile On Device On Tablet On Mobile On Device 12 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 13. Defining The Analytical Objectives Business Performance Customer Business and Revenue  Management Operational  Performance Customer  Satisfaction Reduced Cost Structures Sustainable AssetsOperation Performance Infrastructure Reliability Compliance &  Growth Employee Engagement Sustainable Business Defining the dashboard for the different lines of business: • Customer: Interactions, satisfaction, revenue, days sales outstanding S i N b f l i t i l ti l ti Network Performance • Service: Number of complaints, issue resolution, escalations • Finance: Cost recovery, plan/actual deviation, project performance • Operation: Response time, schedule adherence, service complaints • Maintenance: Availability, pipe breaks, Unaccounted for Water, order completion 13 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 14. Defining The Reference Model What?  Activity  Reference Model (Simplified example) Leveraging the full Range of Water Utility Leveraging the full Range of Water Utility Activities Unreported Timely Interval Reads? type What % normal  reads? How much?   Avg completion time?  (Simplified example) Data SourcesData Sources Performance Planed / actual Devices Measurements Unreported  usage? Installation  What % without measurements? Most frequent exceptions?Event type distribution? Events & ExceptionsNetwork Model status?  SCADA Real‐Time Technologies Relational Multi-Dimensional Unstructured Technologies 14 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 15. Moving from Insights to Action Content Leveraging the full Range of Water Utility Leveraging the full Range of Water Utility Data SourcesData Sources ToolsTools Unstructured Analytics Reporting & Analysis Modeling & Planning Predictive Analytics 15 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 16. Understanding the Water Balance Billed  Authorized Billed Metered Consumption Revenue W tAuthorized Consumption Consumption WaterBilled Unmetered Consumption Unbilled  Authorized Consumption Unbilled Metered Consumption Unbilled Unmetered Consumption System Input Volume Non‐Revenue Water W L Commercial /  Apparent Losses Unauthorized Consumption Customer Meter Inaccuracies, Data, Billing and Accounting Errors Water Losses Physical /  Real Losses Leakage on Transmission and Distribution Mains Leakage and Overflows at Reservoirs Leakage on service connections up to metering Non‐Revenue Water = System Input Volume – Billed  Authorized Consumption 16 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 17. Reasons for Apparent Losses Current Annual Apparent  Losses Economical Level • Customer meter inaccuracies • Unauthorized consumption and  Economical Level Unavoidable  p illegal connections, theft and fraud • Data analysis errors between  hi t i l t l d billi d t Apparent  Losses historical, actual and billing data • Data collection and transfer errors  between meter and billing system Analytical Insight Transforming Data into Reduction of Apparent Losses 17 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 18. Managing Real Losses Potentially Recoverable  Real Losses Economical Level of • Active leakage  management • Improving speed and quality of ALR Economical Level of  Real Losses Unavoidable  Improving  speed and quality of ALR Awareness, Location, Repair • Optimization of the pressure  t i th t Real Lossesmanagement in the system • Increased asset reliability and  economical maintenance strategygy Analytical Insight Transforming Data into Reduction of Real Losses 18 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 19. Strategies for Reducing Losses Rationalizing the criteria and priorities toward a NRW reduction strategy: • Economics: Determining the cost of NRW versus the cost of water P A t d l i f b i d b t ti• Process: Assessment and analysis of business processes and best practices • Integration: Integration of business, engineering and operational areas • Data Analytics: Transforming data silos into actionable business insights Cumulative water lost over time NRW – Cost Assessment ALR – Process Assessment Economic Level of NRW Total Cost = Cost of Water lost + Cost of NRW Management C t f t l t Cumulative water lost over time ofWaterLost Cost of water lost Cost of NRW Management NRW Costs Awareness Location Repair Volumeo Time 19 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 20. DMA – District Metering Area Improving the Network Topology FROM: Open Water Network System Water is fed from different water treatment plants into an interconnectedWater is fed from different water treatment plants into an interconnected pipe network. NRW can only be approximated for the entire system. TO: Zoned Water Network Systems (DMA) The pipe network is divided into smaller and hydraulically isolated zones which allow a more accurate and manageable NRW calculation. DMA d i id tiDMA design consideration • Size of the DMA (number of connections, pipe length, etc.) • Network configuration (number of flow meters, number of valves) • Topographic features (urban, rural, ground level variations, etc.) • Data Loggers (flows, pressure, legitimate night flows, sonar, etc.) • Establishing and calibrating a hydrological flow model 20 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 21. NRW: Active Management SCADA / GISSCADA / GIS NETWORKNETWORK ERP / EAM/ CISERP / EAM/ CISSCADA / GISSCADA / GIS Telemetry Feeds Dispatch Tracking Storm and Weather Hydrologic / Pressure Data NETWORKNETWORK Work & Service Performance Grid Model / Geo-Coding Hydrological/Pressure Model District Metering Area ERP / EAM/ CISERP / EAM/ CIS Customer Billing Records Meter Data and Location Link Consumption & Address Financial & Tariff Information Water Cycle and Water Balance Insight Hydrologic / Pressure Data Sanitation levels Valve/Pump/Reservoir Feeds District Metering Area Loggers & Asset conditions Meter testing & Certification Financial & Tariff Information Asset History & Performance Water Cycle and Water Balance Insight G SG S SCADA / W thSCADA / W th Model Updates Real-Time GIS CAD Planning System Manual / One-Lines GIS CAD Planning System Manual / One-Lines SCADA / Weather Field Operations & Mobile Enterprise Asset Performance Grid Sensors / Valve Controls SCADA / Weather Field Operations & Mobile Enterprise Asset Performance Grid Sensors / Valve Controls 21 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential. Customer Information SystemCustomer Information System
  • 22. ALR: Awareness – Location – Repair Resource Planning and Scheduling Common Dispatching Functionality Mobile Communication Platform • Real‐time scheduling for optimal  assignments and routing T k i t t l • Web browser based Dispatcher  interface C t t d i KPI’ d l t t • Best practice workflows for field  resources using a wide variety of  mobile devices • Takes into account complex  factors and rules such as skills,  timing, location, cost goals, etc • Scheduling without boundaries • Context driven KPI’s and alerts to  allow for exception based  Dispatching • Map Viewer to show crews, their  activities, their routes • Secure asynchronous  communication • Store and forward for  disconnected completions when  22 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential. necessary
  • 23. District Metering Area: Analytical Approach Actionable insight: R d i NRW gBilling • Reducing NRW Levels • From leak detection to pipe rehabilitation Metering • Prioritization of budgets and investments • Improved asset life Network • Improved asset life via pressure management • Safeguarding N Data Inform Act continuous supply and water quality 23 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 24. Suggestions on Where to Start First Step: Implementation CostsFirst Step: • Establishing high level cost / benefit matrix • Technical assessment of current situation and performance Implementation Costs High Medium Low Impact High •Leakage on mains •Leakage on service  connections •Unauthorized consumption •Unbilled metered  consumption • Organized processes for collecting, normalizing, geo-tagging and associating data Second Step: NRW Volume I Medium •Customer meter  replacement •Customer metering  inaccuracies and data  handling errors •Pressure  Management Low •Reservoir leakage •Unbilled unmetered  consumption •Reservoir overflows Second Step: • Validating /adjusting data with real measurements • Calibrating network model • Reviewing analytical approach and integrity of NRW-calculations I i ALR d billi p • Improving ALR and billing processes Third Step: Monitoring and institutionalizing continuous improvement process 24 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 25. Key figures for business justification Water – Loss Reduction • Reduced costs from water loss and increase revenues • Reducing energy and chemical consumptionReducing energy and chemical consumption • Increase billing accuracy Increased Asset Performance I t l it d l t f NRW decreases Investments are made in Revenue increase and • Increase asset longevity and lower cost of maintenance • Improved Infrastructure leakage Index (ILI) • Reduced pipe breaks / faster ALR turnaround time are made in further NRW reduction programs Expenditure is increased to include operational increase and operational Cost decrease educed p pe b ea s / aste tu a ou d t e Better Service • Guaranteeing continuous quality water supply Reduction of waterborne diseases (biological mineral chemical p improvement • Reduction of waterborne diseases (biological, mineral, chemical contamination) • Improved water service quality (pressure, coloration, odor, salination, etc.) 25 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 26. Moving from Reactive to Proactive • Quality Incidents • Leakage P ti • Preventive Asset planning• Asset Integrity Objectives Prevention • Reducing ALR- Time • DMA Monitoring • Network & Pressure Modeling • Optimizing DMA setups Asset Integrity • Grid Performance • Financial Results Analysis & D i i Historical Reactive Decision Proactive Decision Predictive Decisions Assessment Decision Making Decision Making Assessment t = 0 Future TimePast Time Timeframe Current Conditions 26 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential. t 0 Future TimePast Time
  • 27. Moving beyond 2013 • Smart Water Networks exist, but still need to become standard and widely adopted • AquaEconomics – investments into intelligence are understood & largely ROI positive • Communication and communication links are becoming part of Smart City platforms • Data acquisition is benefitting from IoT electricity and ICT innovations• Data acquisition is benefitting from IoT, electricity and ICT innovations • Analytics has evolved from a passive data holder into a new business resource BUT A Solid ICT Platform and high fidelity Data Analytics are needed to achieve sustainedA Solid ICT Platform and high fidelity Data Analytics are needed to achieve sustained NRW reductions, active leakage prevention and real-time Water Balance insight. Sense Data Inform Act 27 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 28. Questions When the well is dry, we know the worth ofthe worth of water. Benjamin Franklin (1706 90)(1706-90) 28 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.
  • 29. 29 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Proprietary and Confidential.