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Workshop Outline. The IWA/AWWA Methodology
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1. Water Audit Software Training WorkshopPresented by the Metropolitan North Georgia Water Planning DistrictAtlanta, GASeptember 5 & 6, 2006 George Kunkel P.E.
Philadelphia Water Department
2. Workshop Outline The IWA/AWWA Methodology & Development of the AWWA Water Loss Control Committee’s Water Audit Software
A Walk Through the Water Audit Software
Interpreting the Water Audit data for performance tracking and benchmarking
Bottom-up validation to improve the Water Audit
3. US Drinking Water Industry Shortcomings Terminology; Historically a Lack of standardized definitions of water and revenue losses
Technical; Not all water supplied by a water utility reaches the customer
Financial; Not all of the water that reaches the customer is properly measured or paid for
4. States Survey Findings & Conclusion
5. “Unaccounted-for Water Percentage” Just Doesn’t Cut It! No consistent definitions for the various components of use or loss were employed
Worldwide, no standard definition has been found to exist for the term “unaccounted-for” water
Percentage indicators have been found to be suspect in measuring technical performance
Percentage indicators translate nothing about water volumes and costs
6. Philadelphia’s Loss Control Success is not reflected by old percentage indicators
7. Improvements in Water Auditing Method developed by International Water Association Water Loss Task Force (with AWWA participation) in 2000
Supported by AWWA WLC Committee in August 2003 Committee Report
AWWA WLC Committee is rewriting the M36 Publication “Water Audits & Leak Detection”, to be published late 2007
AWWA WLC Committee launched the Free Water Audit Software package – April 2006
8. IWA/AWWA Standard Water Balance IWA Water Balance terminology
Australia (WSAA), Canada (NRC), Malta, New Zealand (NZWWA), South Africa (WRC), USA (AWWA Water Loss Control Committee), World Bank Training Institute
IWA Water Balance terminology
Australia (WSAA), Canada (NRC), Malta, New Zealand (NZWWA), South Africa (WRC), USA (AWWA Water Loss Control Committee), World Bank Training Institute
9. Features of the Free Water Audit Software Package Purpose: promote standardized method for audits
User-friendly tool, easy toggle between worksheets, only access to MS EXCEL is needed
Designed as a basic “top-down” water audit
Complete list of terms and definitions
Performance indicators are calculated, eliminating chance of math errors
Checks installed to alert questionable data
Data from multiple systems can be transferred and analyzed electronically
10. Water Audit Software Development Software beta tested by 21 water utilities
Accessible from AWWA’s WaterWiser Website
www.awwa.org/waterwiser/waterloss/Docs/waterauditsoftware.cfm
Software Development Team
Andrew Chastain-Howley (chair) Water Prospecting and Resource Consulting
Alain Lalonde, Veritec Consulting
David Sayers, Delaware River Basin Commission
David Goff, P.E. Goff Water Audits and Engineering
George Kunkel, P.E. Philadelphia Water Department
11. Implementing AWWA’s Water Audit Software IWA/AWWA method now offers a robust water auditing approach where none existed previously
AWWA’s Free Water Audit Software Package gives the drinking water industry a standardized tool to improve accountability and track water loss standing
Leading agencies such as the Metropolitan North Georgia Water Planning District are leading the way in promoting best practices in water management
12. On to the Software!
13. Water Audit Software Training WorkshopPresented by the Metropolitan North Georgia Water Planning DistrictAtlanta, GASeptember 5 & 6, 2006 George Kunkel, P.E.
Philadelphia Water Department
14. AWWA Quality Programs Self-assessment
Peer review
Benchmarking
Accreditation
15. Self Assessment: Trending Your PerformancePhiladelphia’s NRW Reduction
16. Assessing Existing Regulatory “Performance Indicators”; 2001 States Survey Water loss policy
Definition of water loss
Accounting and reporting
Standards and benchmarks
Goals and targets Planning requirements
Compilation and publication
Technical assistance
Performance incentives
Auditing and enforcement
17. Regulatory Agencies have customarily used an “unaccounted-for” water percentage Existing statues have UFW by default rather than by design
Texas is leading the way for improvement; data from over 2,000 IWA/AWWA water audits is currently being analyzed – findings available in early 2007
UFW Percentage is a weak performance indicator
No consistent definitions for the various components of use or loss have been employed
Worldwide, no standard definition has been found to exist for the term “unaccounted-for” water
Percentage indicators have been found to be suspect in measuring technical performance
Percentage indicators translate nothing about water volumes and costs
18. States Survey Findings & Conclusion
19. Assessing Water Utility Survey Data AWWA WATER:/STATS Surveys
1996 general survey data analyzed by the WLC Committee:
Water volume input to distribution
Water billed in various customer classes
Crude comparison of water input to total billings conducted
Results show widely varying data, typical of the times
This survey was not structured to inquire directly about water loss control data
20. 1996 WATER:\STATS Data Graph
Over 300 responses went unused since they lacked data or showed negative lossOver 300 responses went unused since they lacked data or showed negative loss
21. Assessing Water Utility Survey Data (Cont.) Valid Responses from 339 Water Utilities
USA Utilities: 56.7 million (19.5%)/ Canadian Utilities: 3.6 million (11.1%)
330 USA Utilities; 9 Utilities from Canada
21 Small Systems: Population less than 10,000
222 Medium Systems: Population 10,001 - 100,000
96 Large Systems: Population greater than 100,000 2002 survey is extensive and highly detailed.
Benefit: considerable, good information
Drawback: low response rate
2002 survey is extensive and highly detailed.
Benefit: considerable, good information
Drawback: low response rate
22. Assessing Water Utility Survey Data (Cont.) Response to Question: Do you routinely compile a Water Audit?
Number of Responses/Population Served
< 10,000 10,001-100,000 > 100,001 Total
YES 13 135 62 210 (62%)
NO 8 87 34 129 (38%)
Total 21 222 96 339
Definition of “Water Audit” was left up to the respondent. Most likely just compare input flow with total billingsDefinition of “Water Audit” was left up to the respondent. Most likely just compare input flow with total billings
23. Assessing Water Utility Survey Data (Cont.)
22% did not provide sufficient and reasonable data to have logical water audit numbers22% did not provide sufficient and reasonable data to have logical water audit numbers
24. Assessing Water Utility Survey Data (Cont.) AWWA WATER/:STATS 2002 Distribution Survey 237 billion gallons/year - Enough water to supply a top ten US city237 billion gallons/year - Enough water to supply a top ten US city
25. Improving Water Loss Control Assessments IWA Publication “Performance Indicators for Water Supply Services” 2000
Structure of the Performance Indicator Framework
Water Resources indicators
Personnel indicators
Physical Indicators
Level of detail descriptor L1 – High Level, low detail L2- medium detail L3 – most detailed
26. Performance Indicators: IWA/AWWA Water Audit Method Operational Performance Indicators
Real Losses Normalized (1), gallons/service connection/day, L1
Real Losses Normalized (2), gallons/service connection/day/psi of pressure, L3
Apparent Losses Normalized, gallons/service connection/day, L1
Unavoidable Annual Real Losses (UARL), gal =
(5.41Lm + 0.15Nc + 7.5Lp) x P, where
Lm = length of mains, Nc = # connections, Lp = Length private pipe, P = ave. pressure, Psi
Infrastructure Leakage Index (ILI)
Current Real Losses/UARL, dimensionless, L3
27. Performance Indicators: IWA/AWWA Water Audit Method Financial Performance Indicators
Non-revenue water over system input volume, percentage, L1
Non-revenue water expressed as a percentage of the annual cost of running the water supply system, L3
(Non-revenue water = Unbilled Authorized Consumption + Apparent Losses + Real Losses)
28. Grading the Quality of the Water Audit Data Confidence Grading Descriptors*
A – Highly Reliable
Based upon sound records of high quality data
B – Reliable
Good data, but with minor shortcomings (some missing, old or dated data)
C – Unreliable
Data based upon extrapolation from a limited sample of actual data
D – Highly Unreliable
Data based on unconfirmed verbal reports and/or cursory inspections or analysis
*taken from Performance Indicators for Water Supply Services, IWA Publishing, 2000
29. Grading the Quality of the Water Audit Data Accuracy Bands*
1 Better than or equal to +/- 1%
2 Not band 1, but better than or equal to +/- 5%
3 Not bands 1 or 2, but better than or equal to +/- 10%
4 Not bands 1,2 or 3, but better than or equal to +/- 25%
5 Not bands 1,2,3, or 4 but better than or equal to +/- 50%
6 Not bands 1,2,3,4, or 5 but better than or equal to +/- 100%
X Values which fall outside of the valid range, such as greater than 100%, or small numbers
*taken from Performance Indicators for Water Supply Services, IWA Publishing, 2000
30. Grading the Quality of the Water Audit Data - Matrix of Confidence Grades*
31. General Guidelines for Setting a Target ILI Value
32. Performance Indicators from water utilities compiling bottom-up IWA/AWWA Water Audits
33. Performance Indicators – results from software beta test water utilities, using a top-down audit approach
34. Summary – Assessing Water Audit Calculations & Performance Water Audit Software – outstanding tool to assess water loss standing and track in-house progress
Performance Comparisons with other water utilities: reliable if water audit data has been validated
Several means exist to grade data and normalize comparisons; standard procedures are needed to grade the data
Implementation of water auditing into standard drinking water industry practices will create reliable datasets and identify best-in-class practices and benchmark levels, but work is needed to refine the procedures
Texas – first large scale assessment of Water Audit data
So, let the water auditing begin!
35. Water Audit Software Training WorkshopPresented by the Metropolitan North Georgia Water Planning DistrictAtlanta, GASeptember 5 & 6, 2006 George Kunkel, P.E.
Philadelphia Water Department
36. Key Validation Areas of the Water Audit Bring the people from different functional areas together to confirm the various process data that goes into the water audit
Verify the Production Meter Data
The water audit starts here and errors in this data carry throughout the entire audit
Learn how the customer billing system works
Billings systems have been designed for financial reasons, but we now use their consumption data for multiple purposes
Recognize some key leakage factors
Gather data on leakage repair response time
Evaluate pressure levels in your system
Know your policy on customer service line leakage
37. Bring the people from different functional areas together to confirm the various process data that goes into the water audit Forming the team provides:
Knowledge from keys areas
Opportunity for improved interaction
Identification of gaps in process
Culture of accountability and team building
38. Know Your Production Metering Configuration
39. One Technique to Monitor Production Meter Accuracy
40. Learn the workings of the Customer Billing System – this generates the amount of Billed Authorized Consumption Philadelphia: Customer Metered Consumption Vs. Customer Billed Consumption
A sampling of Customer Billed Usage: 8-inch meters
Month # of Accounts Usage (100 cubic feet)
July 1999 71 177,312
Aug 1999 70 -134,825
Sept 1999 69 246,923
Oct 1999 68 178,278
It’s important to find out what the Billing System does to Metered Data
41. Philadelphia’s Revenue Protection Program – Water & Revenue Recoveries of Apparent Losses
42. Breaks are Dramatic, but Leaks Lose More Water!
43. Awareness, Location & Repair Implications
44. Understand the effects of pressure on leakage levels and infrastructure
45. Who is responsible for Customer Service Connection Piping?
46. Service Line Leak Repair Times Worldwide, most leakage losses occur on customer service lines
Explain significance of leak run time and the effect of policy on customer service line leakageWorldwide, most leakage losses occur on customer service lines
Explain significance of leak run time and the effect of policy on customer service line leakage
47. How are service connection leaks handled?
48. Summary – Bottom-up Measurement & Auditing Validate and Improve the Water Audit over time Bottom-up activities include field measurements and audits; replace estimated data with actual data
For most water utilities, water audit validation is evolutionary, improving over time
It is key to assemble employees from the pertinent groups to contribute accurate data and knowledge of the operations
Start in basic mode, and improve incrementally