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October 10, 2017 Data Management from Water Utility Perspective Jim Pescatore, Vice President, CDM Smith Charlie Jewell, Director of Planning, Boston Water & Sewer Commission 2017 Water Asset Management Conference Boston

Data Management from Water Utility Perspective

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October 10, 2017

Data Management fromWater Utility Perspective

Jim Pescatore, Vice President, CDM Smith Charlie Jewell, Director of Planning, Boston Water & Sewer Commission

2017 Water Asset Management ConferenceBoston

Summary

Water Distribution

Commission System

Prior Studies

Work Accomplished

Water Distribution Study

Analysis

Recommendations

2

MWRA

3

MWRA

4

Water Distribution System

Five Pressure Zones

Supplied from 29 metered locations

1,008 miles of pipe from 4-inch to 48-inch

Approximately 39,118 Valves

13,480 Hydrants

86,700 Accounts

5

Prior Studies

6

1967 Distribution Study Increased Fire Flows

Redundant Transmission Mains

Cleaning and Cement Lining of Large Mains

1987 Study 17 miles of pipe per year

Valve Upgrades

Hydrant Replacement

Hydraulic Model

Work Accomplished

540 Miles of Pipe Replaced or Lined since 1979

Replacement of Non-Traffic Hydrants

Evaluated Fire Protection for Higher Elevations

Exercised and Repaired all Valves

7

2011 Water Distribution Study - Tasks

Multiple Tasks

Main Topics for this Presentation Hydraulic Analysis

Facilities Assessment

Critical Pipes

Future Program

8

LegendCritical Mains

Analysis

Upgrade of Hydraulic Model – Infowater

Peak Hour to Determine Possible Deficiencies Low Pressures

Low Fire Flows

Critical Mains / Probability and Consequence of Failure

Pipe Sample Analysis

Soil Testing

9

Results

6 Locations of available fire flow below 1,000 gpm

Peak Hour Demand Simulation showed 5 locations with pressure less than 35 psi

Model indicated key water mains that are lone source to several streets

General results showed a strong system

10

Orient Heights

NottinghillRoad Area

Parker Hill

Seaver St @ Park View

Bellevue Tank Area

Maximum Day/Peak Hour Simulation; Locations where Simulated Pressures are Less than 35 psi (pressures indicated)

Results (cont.)

Number of pipe segments modeled – 21,500

Non Critical – 17,000 (80 percent)

Critical - 4,300 (20 percent) Ranking by “Hydraulic Criticality Index”

11

Planning for the Future in 2011

What to do now that all the big problems are fixed?

Solution: a digital risk based prioritization tool to support capital planning for system renewal

How much should we do?

Where should we do it?

When should we do it?

Risk Based Prioritization Approach as a Continual Process (2011 Report)

Capital Plans

GIS Data

Hydraulic Model

O&M Data/CMMS

Field Samples

Anecdotal Data

Defensible &

Sustainable

Capital

PlanningManagement

Strategies

KANEW

(Care-W)

Casses/LEYP

Annual Rehabilitation Planning (ARP)

14

Main Breaks Likelihood of Failure

Establishing Service Lives – If Breaks Could Talk

0

10

20

30

40

50

60

70

0

2

4

6

8

10

12

14

16

18

20

0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160

Bre

ak r

ate

(bre

aks/

100m

i/ye

ar)

# b

reak

s

Age (years)

PCI - Breaks and break rate per age

# breaks Break rate (breaks/100mi/year)

Break Information – Pit Cast Iron (PCI)

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0 20 40 60 80 100 120 140 160 180 200

Age

Survival function

Break & Break Rates per Pipe Age (PCI)

Estimated Service Life Curve for PCI Pipe

Break rate increases as pipe moves along survival curve

Project in conjunction with InfraPLAN

Average Service Lives of Pipe - BWSC

MATERIAL GROUP Service Life in Years at 50th Percentile

PCI1 125

PCI2 145

CI1 100

CI2 120

CICL 100

DICL1 65

DICL2 85

KANEW: Aggregation of Renewal Requirements

• Total Long Term Renewal Volume Broken Down by Each Material Group by Year

• About 2060, large volumes of pipe require renewal

Project in conjunction with InfraPLAN

• “What if Scenarios” to Level Out Renewal Volume

• Sustainable Volume Over the Long Term

Final Projected Renewal by Material

KANEW – Determining Long Term Needs

Project in conjunction with InfraPLAN

What is LEYP?

Linear Extension of the Yule Process model computes the possible number of failures on a water main with known characteristics within any time interval.

Predicted Number of Breaks

Soil Types

Past Breaks

Pipe Data

Value of LEYP

Use the data to spot correlations and trends

Is there a correlation and how strong is it? Is age related to failure likelihood? How much?

Do soils impact pipe failures? How much?

Leverage and test anecdotal information “Pipes in this area with bad soils fail more”

Replacement for “point” based systems

Advanced statistics can provide quantitative data about the pipes by leveraging historic break data

20

LEYP Outputs: Likelihood of Failure

• Predictive impact for each factor

• Compare impacts of factor to factor

– What is driving failures

• Predicted Break Rate for each pipe (composite)

– Level playing field

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

[diam_4] [diam_6] [diam_8] [diam_10-14] [diam_16plus]

Relative Risk of Breaking

Pipe Diameter

Consequences of Failure - Leverage GIS and Hydraulic Model

Economic ZonesCritical Users

Roads and Tunnels Hydraulic Criticality

Annual Rehabilitation Planning (ARP) Model

Risk BasedHighest Priority Pipe for Renewal – ARP Output

2011 PLAN PIPE RECOMMENDATIONS

Class 56 pipe

Polyethylene Encasement

New Pipe Renewal Schedule – 11 miles per year

Continue to Sample Pipe

Rerun the Models in 5 Years

Capital Plans

GIS Data

Hydraulic Model

O&M Data

CMMS

Field Samples

Anecdotal Data

CapPlan®/InfoMaster

Defensible &

Sustainable

Capital

PlanningManagement

Strategies

KANEW

Casses/LEYP

2016 BWSC Water Distribution Pipe Ranking Update Project

KANEW: Full System Results

7 mile base need

11 mile peak

Factors Tested in LEYP Statistical Model Update

Diameter

Material

Date of installation

Soil type

Pressure

Breaks

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

16.0

18.0

0.00

5.00

10.00

15.00

20.00

25.00

30.00

18

48

18

60

18

68

18

73

18

78

18

83

18

88

18

93

18

98

19

03

19

08

19

13

19

18

19

23

19

28

19

33

19

38

19

43

19

48

19

53

19

58

19

63

19

68

19

73

19

78

19

83

19

88

19

93

19

98

20

03

20

08

20

13

Bre

aks

per

Mile

Mile

s o

f P

ipe

Breaks Rate by Year Installed

Miles of Pipe Break Rate Linear (Break Rate)

Risk Score Map

29

Risk

2016 PLAN PIPE RECOMMENDATIONS

60 miles of pipe in extreme and high risk categories

New Pipe Renewal Schedule – 8 miles per year

Continue to Sample Pipe

Rerun the Models in 5 Years

Questions?Charlie Jewell

[email protected]

Ph: (617) 989-7431

James J. Pescatore, P.E.

[email protected]

Ph: (617) 452-6567