SAME 2012 SA/SC Joint Engineer Training Symposium October 2-4, 2012
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Transcript of SAME 2012 SA/SC Joint Engineer Training Symposium October 2-4, 2012
Keith D. Hodsden, Sr., P.E.Client Service Manager
GIS & Hydraulic Modeling for Water / Sewer Asset Management and Rehabilitation Planning
SAME2012 SA/SC Joint Engineer Training Symposium
October 2-4, 2012
Subsidiary of MWH Global
MWH Soft / Wallingford Software Merger
Company Renamed in March 2011 Same Market Leading Products, Services, Support
Corporate HQ: Denver, CO
Operations HQ: Pasadena, CA
Global offices with local focus
US Offices in Every Time Zone
Experienced software support
Innovyze Oveview
US Infrastructure Situation Aging Infrastructure Infrastructure design life is 50 to 80 yrs Out of sight = out of mind EPA: $170 to 493 Billion in next 20 years* Congressional Budget Office: $245 to $424 Billion* Water Infrastructure Network: $420 Billion* Limited funds = need to prioritize Military bases arguably worse “Ostrich” Consideration* EPA 816-R-05-001 Drinking Water Infrastructure Needs Survey & Assessment – 3rd Report to Congress, June 2005
Current Situation* 2009 – WSSC had 1,847 water breaks
• 611 breaks in January 2009
240,000 water main breaks/year in USA
Large utility breaks in the Midwest increased from 250/yr to 2,200/yr over 19 years
Baltimore, MD had 1,190 main breaks in 2003 • more than 3 per day
British study in 2005 correlated diarrhea with low water pressure events (including main breaks)
USGS estimates 1.7 trillion gallons of water lost in the US per year, at a cost of $2.6 Billion
* EPA Aging Water Infrastructure Research Program: EPA/600/F-07/015, September, 2007
Historical Infrastructure Needs
Sample Deterioration Curve
Pipes do not deteriorate at a constant rateVariables:• Material• Soil condition• Wrapping/Lining• External Loading• Excavation Activity• Corrosion Protection• Pipe Depth• Pipe Pressure• …
What Has Been Done?
Engineering firms develop one-off, proprietary solutions (excel, access, GIS, etc.)
Difficult for clients to use / limited training
No upgrade path
No $$ vehicle for updates
Original author(s) may leave, be promoted, or otherwise unavailable
Asset and Data Management
Asset Management & Rehabilitation Planning
CapPlan Water Overview Risk-based capital planning tool for water
distribution systems
Incorporates hydraulic model, GIS, CMMS data in one platform for analysis
Allows for proactive capital plans
Builds an asset management model
Risk-Based Planning Represents a New Focus for Most Utilities
Historical Approach to Renewal Planning
•Budget Based on Last Year•Little knowledge of system risks
Backward Looking
•Projects determined as problems arise during the year
Reactive
•Do as many projects as you can afford each year
Budget Constrained
•Money is spent but overall risk may not have been reduced much
Ignores asset and
system risks
Risk-Based Renewal Planning
•Based on asset risk scores throughout system and long term forecasts of risk and cost
Forward Looking
•High risk assets slotted for renewal before failure occurs
Proactive
•Budget could be determined based on agreed risk targets for system
Risk or Budget
Constrained
•High risk assets addressed first•Budget may rise or fall to meet risk targets
Focused on risk
management
Likelihood of Failure
Hydraulic Model •Pressure Changes•Roughness
Infrastructure Data •Age•Material
GIS Data •Soil Type•Railroads/Fault Lines
CMMS & Work Orders
•Break History•Repairs/Lining
Consequence of Failure
• Pipe/Valve Criticality• Flow Delivered
Hydraulic Model
• Hospitals, Schools, etc• Power, Industry, etc.
Critical Facilities
• Population Density• Street Paving GIS Data
• Traffic Analysis• Community Relations Other
Rehabilitation Engine
Budget ScenariosRehabilitation Costs
Prioritized Capital Plan
Calculation of Risk
Multiple Calculation
Options
CapPlan Work Flow Diagram
Likelihood of FailureW1L1
P1+W2L2 P2+…+WmLm
Pm
• Hydraulic Condition (Pressure, Flow, & Velocity)• Infrastructure/Asset Data (Age, Material, Dia.)• Soil Characteristics• Seismic Faults• Railroad Intersection• Traffic• Defect History• Joint Type• Others
Consequence of FailureW1C1
P1+W2C2 P2+…+WmCm
Pm
• Flow (Demand) Supplied• Population Density Served• Critical Facilities Served• Outage/Isolation Analysis• Traffic• Others
Outage/Isolation Analysis
Evaluate each pipe
Outage/Isolation Analysis
Evaluate each pipe ID u/s pipes/valves
Outage/Isolation Analysis
Evaluate each pipe ID u/s pipes/valves ID d/s pipes/valves
Outage/Isolation Analysis
Evaluate each pipe ID u/s valves ID d/s valves Remove elements
No Water Pressure
Low Water Pressure
Outage/Isolation Analysis
Evaluate each pipe ID u/s valves ID d/s valves Remove elements Find pressure
problems
Outage/Isolation Analysis
Evaluate each pipe ID u/s valves ID d/s valves Remove elements Find pressure
problems Evaluate fire flow
Flexible Risk Classification
Calculate Risk
Risk Rating = Likelihood x Consequence
Renewal Condition Score (Probability of Failure)
1Neg
2 Low
3 Med
4
High
5
Extreme
Consequence of Failure
Score (criticality)
C = 1 Low
Impact
B = 2
Medium Impact
A = 3 High Impact
• Linear (Likelihood X Consequence)
•Bi-directional matrix
•Multi-criterion classification
• Likelihood X Consequence is
normalized between 0 and 1.
• For each consequence definition, lower and upper boundaries can be set to define Low, Medium and High risk.
Each Asset Mapped to Risk Matrix
• Define Rehabilitation Costs
•Define Rehabilitation Actions
•Establish Phasing & Budget
•View Reports or Maps
Rehab Costing and Phasing
Energy Optimization & Sustainability
Energy ManagementCalculating/Projecting Pump Energy Use
Determine total pumping costs based on actual energy cost charges
Calculate energy cost for operating pumps under various
demand conditions
Pump SchedulerOptimal Pump Scheduling
Optimize pump scheduling to minimize energy cost
Set constraints for system pressure, tank level, pipe velocity, water age, etc
SustainabilityReduce Power Costs & Carbon Footprint
Quickly determine carbon footprint and total energy losses
across entire water system
Visualize specific pipes, pumps, valves, and taps with the highest carbon
footprint