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Leveraging Advanced Meters For
Leak Detection
- Renee Davis, Fort Collins Utilities
Intro
• Single family residential
• Advanced meter infrastructure (AMI)
tools
• Customer service
What we know about leaks – end use data
Big leaks matter – 2% of homes leaked at 120 gal/day
AMI can help us find those leaks
0%
25%
50%
75%
100%
0%
25%
50%
75%
Cumulative
Frequency
PercentofHomes
Daily Leakage Rate (gal/day)
Courtesy of Aquacraft, Inc.
How we’re using advanced meters to find
leaking homes:
• Query reports list of homes without zero use.
–Includes customer data such as account number
and contact information
–Ranked by average hourly use
We contact only customers who average
more than 60 gal/hour.
Making the phone call
What we say: What we convey:
We see something odd so
we’re giving you a call.
It’s a service.
We’re here to help. It’s all carrot, no stick.
Let’s talk about the meter.
Data is how we’re going to
help.
What do you think? Get to sleuthing.
Finding and fixing leaks is their responsibility.
Toilet handle stuck
Whatwe’reseeing
Toilet handle stuck
Whatwe’reseeing
Home inspector left water running
Whatwe’reseeing
Broken sprinkler line
Whatwe’reseeing
Program reach
• 847 customers contacted since April.
• Typically we contact 6 to 8 customers per
day.
• A typical day has 127 premises on the list
– but this includes low leakage rates.
• Leaks peak in summer.
Estimated water volume – data from a
sample of homes analyzed
• Looked at 25 homes from a two-week period
in October
• October 2014 compared to October 2013.
– Found that homes had an average increase of 10
kgal of use for that month.
– At 95% confidence, the range is ±4.45kgal.
Customer responses
We really appreciate that call
because we called a plumber and
found the problem and we
wouldn’t even have known about
it if the city hadn’t called us. So
thank you. I think it’s a
wonderful service.
Lessons learned
• Staff time is not trivial – the calls take time.
–About a 0.5 FTE
• Meter shop was over-loaded.
• Summer increases probably warrant a
different cut-off of average leak rate.
Next steps
• Flow-trace style analysis to look at individual
leak cases
• Survey customers who have been through
program to find out about causes of leaks
• Evaluate average time on the list:
–Before contact
–After contact
QUESTIONS?

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leveraging_AMI_data_for_leakage

  • 1. Leveraging Advanced Meters For Leak Detection - Renee Davis, Fort Collins Utilities
  • 2. Intro • Single family residential • Advanced meter infrastructure (AMI) tools • Customer service
  • 3. What we know about leaks – end use data Big leaks matter – 2% of homes leaked at 120 gal/day AMI can help us find those leaks 0% 25% 50% 75% 100% 0% 25% 50% 75% Cumulative Frequency PercentofHomes Daily Leakage Rate (gal/day) Courtesy of Aquacraft, Inc.
  • 4. How we’re using advanced meters to find leaking homes: • Query reports list of homes without zero use. –Includes customer data such as account number and contact information –Ranked by average hourly use We contact only customers who average more than 60 gal/hour.
  • 5. Making the phone call What we say: What we convey: We see something odd so we’re giving you a call. It’s a service. We’re here to help. It’s all carrot, no stick. Let’s talk about the meter. Data is how we’re going to help. What do you think? Get to sleuthing. Finding and fixing leaks is their responsibility.
  • 8. Home inspector left water running Whatwe’reseeing
  • 10. Program reach • 847 customers contacted since April. • Typically we contact 6 to 8 customers per day. • A typical day has 127 premises on the list – but this includes low leakage rates. • Leaks peak in summer.
  • 11. Estimated water volume – data from a sample of homes analyzed • Looked at 25 homes from a two-week period in October • October 2014 compared to October 2013. – Found that homes had an average increase of 10 kgal of use for that month. – At 95% confidence, the range is ±4.45kgal.
  • 12. Customer responses We really appreciate that call because we called a plumber and found the problem and we wouldn’t even have known about it if the city hadn’t called us. So thank you. I think it’s a wonderful service.
  • 13. Lessons learned • Staff time is not trivial – the calls take time. –About a 0.5 FTE • Meter shop was over-loaded. • Summer increases probably warrant a different cut-off of average leak rate.
  • 14. Next steps • Flow-trace style analysis to look at individual leak cases • Survey customers who have been through program to find out about causes of leaks • Evaluate average time on the list: –Before contact –After contact