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WORLD DEMAND FOR WATER BY 2025

NRW Techniques & Smart Metering to Improve Operational Efficiencies ACWUA , Amman – Jordan, 27-31 January 2013. +22%. 3 billion. WORLD DEMAND FOR WATER BY 2025. IN 48 COUNTRIES WILL FACE SCARCITY BY 2025. Sources: US Energy Information Agency and United Nations.

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WORLD DEMAND FOR WATER BY 2025

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  1. NRW Techniques & Smart Metering to Improve Operational EfficienciesACWUA, Amman – Jordan, 27-31 January 2013

  2. +22% 3 billion WORLD DEMAND FOR WATER BY 2025 IN 48 COUNTRIES WILL FACE SCARCITY BY 2025 Sources: US Energy Information Agency and United Nations

  3. The Non Revenue Water Challenge Source: Global Water Intelligence (UK) , RiverNetwork (Portaland)

  4. WATER CONSERVATION • Manage the increasing demand for water • Reduce water losses • Engage consumer in conservation efforts How to addresses the waste?

  5. International recognized classification • Itron Program to address Water Loss Reduction on Apparent loss 10-12% of Total Volume

  6. NRW Losses segmentation Apparent Losses Represent 30% of overall losses (NRW) 100% REAL LOSSESCalculated by substraction, mid uncertainty (+/- 17%),High investments 90% 80% 70% METER INACCURACIES AND DATA ERRORSEstimated, high uncertainty (+/- 30%)Low investment 60% 50% UNAUTHORIZED CONSUMPTIONEstimated, high uncertainty (+/- 50%) 40% 30% 20% BILLED AUTHORIZED CONSUMPTIONMeasured, lowuncertainty (+/- 2%) 10% UNBILLED AUTHORIZED CONSUMPTIONEstimated, high uncertainty (+/- 50%) 0% Volume (%)

  7. Sources of Apparent Losses – Metering READING • Typingerror • Purposely mis-reading • No reading METERING • At Start: Inadequateselection • Withtime: Ageing, loss of accuracy BILLING • Wrongindex • Overbilling • Revenue loss 7

  8. METERING ADDED-VALUE CHAIN Intelligence from the very beginning and at every step. Data actionable starting with its creation. How data becomes useful

  9. SMART = no longer just a meter reading 12 Nov Backflow - index Leakage detection High Peaks Values above threshold index over & under sized meter flags Values below threshold index logging intervals Automatic time synchronisation Meter reversed alarm Meter blocked alarm Time of use index Event log book

  10. Data is automatically filtered and exported to the data center, billing system or knowledge applications. 868 MHz200mW/38400 B GPRS/Ethernet Internet/Intranet link SYSTEM OVERVIEW – Medina City FTP Server Cyble, Pulse and Option Board EverBlu Software EverBlu Collector Customerforecastingsoftware 433MHz10mW/2400 B Utility Mainframe (Billing System / Customer Information System) EverBlu Access Point Customer Care software

  11. Fixed Data Collection System (FDC)

  12. Add Access Point to communicate with collector

  13. TAMPER/FRAUDDetection This example is about a real life tampering situation where the water meter was Re-Installed by the tenant to reduce the large consumption index of the meter. • Total consumption in 21\7\2010 = 99909.5 m³. • The meter was reversed in 27\7\2010. • Then the meter was reinstalled again in the right position on 15\8\2010 at 10am. Total consumption = 99879 m³ • Total volume consumed during the time the meter was reversed is 121.274 m³ (29 m³ for the above mentioned duration + 95 m³ accumulated backflow) • This Fraud was costing the Utility 1,140 m³ / year

  14. LEAKAGEEXAMPLE Vacant Premises

  15. LEAKAGEEXAMPLE Vacant Premises

  16. LEAKAGEEXAMPLE Vacant Premises

  17. Metering Handhelds Revenue Protection Meter Data Management Energy Forecasting HHU collection software Customer Care Distribution Asset Optimization Prepayment Managed Services Meter Data Collection

  18. Viewer Data Access Data Analysis and Alarms management Data Export Data Storage (MDM) Data Collect Software Field Data Collect Walk By System Field Data Collect Drive By System Field Data Collect Fixed Network System Data workflow A city with 100ku Customers: 24x365x100,000 = 876 Million Reads per Year!

  19. DMA Management to reduce losses Aggregated District Feb 15 12:00 AM All readings are time synchronized District Meter Customer Care Software – My Meter Groups Screen

  20. Real Life cases (utility Name confidential) Water Utility X: 500k customers Production 110 Million m3/year Total Billed 70 Million m3/year Top 1Ku customers consume 28 Mm3/year Itron program focus on the top 1k customers Investment €3 Million over 3 years Additional invoicing of 5 Million m3/year Value = 5 Million €/year additional Billing Program duration 3years: €15 Million Network efficiency BeforeAfter 70/110 = 63.6% 75/110 = 68% NRW 36.4% NRW 32% Water Utility Y: 240k customers all residential Production 28 Million m3/year Total Billed 16 Million m3/year Itron program focus on 120k customers Investment €6 Million over 8 years Additional invoicing of 2.5 Million m3/year Value = 3.8M€/year additional Billing Program duration 8 years: € 30 Million Network efficiency BeforeAfter 16/28 = 57% 18.5/28 = 66% NRW 43% NRW 34%

  21. Thank You

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