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Running Dry: Smart Water and Leak Detection
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presented by Steven Windsor in Asia Water Week 2013, Manila 11-15 March 2013
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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.
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