1. Autoleak – How to define if when and where to look for leaks
Giorgio GALLI
SGI Studio Galli Ingegneria SpA

2. Project Information Cofinaced by EU and Ministry of Environment
Duration: 3 years (ended in 2011)
Budget: EUR ,00
2 Pilot sites: Ancona (Italy), Nicosia (Cyprus)
6 partners (4 engineering consultants + 2 water utilities)

3. Leakage Control System is Widely Known: so why is leakage so high ?
Lack of priority for leakage
Insufficient Staff
Time consuming analysis
Effort directed to emergencies

4. Daily Step by Step Leakage Analysis
Extract minimum night flow
Subtract Customer Consumption
Quantify Leakage
Assess if leakage increasing
Decide if worthwhile to locate and repair leaks
The Solution is Automate the process

5. Autoleak Features Automatically for every DMA AUTOLEAK
Determines current recoverable leakage
Extrapolates rate of rise from historical data
Quantifies value of predicted lost water (Benefit)
Compares with cost of intervention
Decide if worthwhile to intervene

6. AUTOLEAK – Operative Principle
Intervention if
V > X

7. AUTOLEAK Structure AREA Flow Pressure AMR Noise Log
DMA
Flow
- Bulk Flow Meters
- Variable time step
Pressure
- Pressure inlet
- Variable time step
AMR
- Users consumption
- Hourly, daily
Noise Log
- Leak Probability
Hystorical Intervention
Intervention Cost
Historical Consumption
Production and retail Cost
Import Manager (Imports monitoring data)
Geodatabase – GIS
Leakage and
Intervention Database
Quality control of data
New Minimum?
Leak location module
Leak repairs module
Leakage calculation
YES
Estimation of Water Recovered
Estimation of Intervention Cost
Leakage Detection (Noise Loggers)
COST-BENEFIT ANALYSIS
Intervention (YES)

8. Autoleak User Interface

9. Autoleak DMS – DMA flow, leakage and trend

10. Calculation of Cost of Intervention
Average Recovered Flow per Leak
Calculation of number of leaks to be repaired
Average Intervention Cost (leakage detection + repair)
Historical Intervention
YES NO
Real Data from DMA
Parametric data from similar case studies

11. Historical Cost of Intervention
Real Data from past interventions
Calculation of Cost and Water Recovery of past leakage intervention
Cost Estimation of future intervention based on the expected water recovery

12. Assessment of economic convenience
Total value of the recovery (V)
Estimated cost of intervention (X)
if V>X, the intervention will be worthwhile
Priority = (V-X)/km

13. Leak Repair Report Leak repair report
Make records of your leak repairs
Provide your staff with site forms to record data
Create statistics of your leak repairs
Create Leakage Maps

14. Ancona Pilot Area (Multiservizi SpA - Italy)
Mean Pressure: 55 m
Reservoir Level: 140 m
Min. Ground Level: 56,9 m
Max. Ground Level: 74 m
Water mains length: 1,9 Km
Number of consumer meters: 325
Qin

15. PILOT AREA  3D VIEW PILOT AREA No autoclavi
Edifici di altezza tra 1 e 5 piani
Utenze residenziali, No utenze speciali
PILOT AREA

16. Ancona Pilot Area AMR – Connected Devices
Noise Loggers
Bulk Meter
Collector
Overhead travelling cranes
Users’ Meters

17. AUTOLEAK Application - Real Case Example
FTP server
User Interface
Internet Connection
Real time leakage calculation
Access Point
Leak Alarm from noise loggers
AMR
Radio 868MHz

18. Nicosia Pilot Area (WBN- Cyprus)
Mean Pressure: 17.5 m
Reservoir Level: 349 m
Min. Ground Level: 320 m
Max. Ground Level: 338 m
Water mains length: 3.5 Km
Mains Material: AC
Number of consumer meters: 86
Number of bulk meters: 4 (2 inlets and 2 outlets)

19. Description of the system installed-Installation of Concentrator
Self Powered Concentrator (Wind & Solar)
Concentrator IP 68 BOX
Concentrator

20. Lesson Learned and possible development
AMR Transmission problems in Ancona (then solved)
Initial setup and customization necessary for each pilot application
AMR repeaters mount on light pole, authorization needed
Technology Improvement
Next development in data transmission (electricity, ADSL, cable? ….)
Full Automatic Correlation

21. Conclusions - Advantages of Autoleak
Interfaces with all currently available technology including AMR
Data Integration
Makes managing leakage almost fully automatic
Allows to save investment focusing on interventions where the expected benefit is greater

22. THANK YOU!