Buried utilities: software tools

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Buried utilities: software tools Abdel-Akher, A.

February 2008

D-WARP: Distributed Water Mains Renewal Planner

Q-WARP: Water Quality – Water Mains renewal Planner

SSAM-I: Strategic and Sustainable Asset Management

- Integrator

Buried Utilities Group

Software tools

Factors affecting water

main breaks

D-WARP

Collecting data

Pipe data and water main

grouping

•

Homogeneous groups more likely to have

similar breakage rate patterns.

•

Better modeling of breakage rate.

Pipe data and water main

grouping

Modeling

Q-WARP

water Quality - Water mAin Renewal

Planner

Medium Low Low Low Low V. low Medium High Medium Medium Low V. high Medium Low Medium Medium Low Medium Medium V. low V. low V. low V. low V. low V. low V. low V. low V. low V. low V. low V. low Low V. low V. low V. low

Q-WARP

Water quality indicators Site-specific factors (Environs) Operational and hydraulic factors Interventions Pipe attributes

Water quality failures (WQF)

Pipe deterioration mechanisms

Water quality deterioration mechanisms W ate r m ain

Q-WARP

Potential for contaminant intrusion

Potential for water quality _{deterioration mechanisms}

Potential for Internal corrosion

Potential for leaching

Potential for Biofilm formation

Potential for disinfectant loss and THMs formation

Potential for permeation

Modular FCMs

Physico-chemical water quality failure

Microbiological water quality failure

Aesthetic

water quality failure

⊕

Supervisory FCM

Potential for water quality failures ⊕ ⊕ ⊕

Q-WARP

Q-WARP

Baseline analysis

• Evaluation of water quality based on currently

implemented interventions.

• Interventions:

• Cathodic protection

• Leak detection methods • Flushing/swabbing/pigging

• Internal corrosion control program • Cross connection control program • Water quality monitoring

Q-WARP

Decision analysis

• Evaluation of water quality based on additional scenario

of interventions.

• Produces less risk of water quality failure than Baseline

analysis

• Is the same as baseline analysis, if no additional

interventions are selected.

Q-WARP

Sensitivity analysis

• Is based on either baseline or decision analysis.

• Evaluation of the contribution of input parameters to

water quality failure.

Q-WARP

Q-WARP

Q-WARP

SSAM-I

Strategic and Sustainable Asset

Management-Integrator

SSAM-I

• Is a decision tool for prioritizing intervention

(repair) projects for infrastructure assets.

• Demonstrates how a systematic and

quantitative process can assist the

management of infrastructure assets.

SSAM-I

• Uses benefit/cost ratio to determine which

intervention projects should be funded each

year.

o

Cost is the cost of intervention.

o

Benefit is a normalized score derived

from a weighted combination of average

risk, average condition and life cycle cost

within an assumed planning horizon.

SSAM-I

• Selects for the first year these intervention

projects that have the highest benefit/cost

ratio within a target annual budget.

• Asset conditions are

updated.

• Projects are selected

for every subsequent

year within a planning

horizon.

SSAM-I

SSAM-I

Network data

• Discount rate

• Planning horizon (years)

• Yearly Budget within the planning horizon

• Condition states (Excellent, very good, good, fair, failed)

• Consequence categories

• Deterioration profiles (linear, quadratic, etc.)

• Maintenance options (preventive, none)

• Intervention types (replacement, major repair, minor repair,

etc.)

SSAM-I

Asset types (bridge, road, water main)

• Service life (years)

• Preventive maintenance cost

• Intervention costs and condition changes.

• User weights ( %Risk, %Condition, % Life Cycle Cost)

Data

Assets

• Asset type

• Replacement value ($)

• Maintenance option

• Condition rating at last inspection

• Year of last inspection

• Last intervention

SSAM-I

1 1.5 2 2.5 3 3.5 4 4.5 5 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 Planning Horizon We igh te d C ondit ion 0.0000 5,000.0000 10,000.0000 15,000.0000 20,000.0000 25,000.0000 Weighted Condition Required Budget Annual Budget B udge t

SSAM-I

Using Excel

1 1.5 2 2.5 3 3.5 4 4.5 5 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 Planning Horizon We ight e d C ond it ion 0.0000 2,000.0000 4,000.0000 6,000.0000 8,000.0000 10,000.0000 12,000.0000 14,000.0000 16,000.0000 18,000.0000 20,000.0000 Weighted Condition Required Budget Annual Budget Bu d g e t

SSAM-I

Using Excel