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Optimatics’ solutions are employed across four
continents and 300 utilities serving 75M
citizens. Our methods have been credited with
more than US$3bn in cost avoidance alone,
and with equally impresive gains in wholistic
design outcomes.
The traditional process is broken
BUILT FOR ANOTHER ERA
THE PROBLEM
Based on 30-year-old
engineering standards
Designed for
buildout, not
renewal
Assumes static
conditions and
unlimited capital
Scope limited by manual,
iterative optimizations
Focused on
mechanics, not
outcomes
Inflated budgets
(20% uncertainty
buffer)
You are expected
to tackle and solve
VASTLY MORE
COMPLEX
infrastructure
management
challenges
1988: TRADITIONAL SCOPEHydraulic Performance
Cost
2018: MODERN DESIGN SCOPE
Hydraulic Performance
Cost
Budget Constraints
Risk of Failure
Financial Risk
Water Quality
Energy Cost
Non-Revenue Water
Political implications
Social and Community impact
Environmental Consequence
Statistical Uncertainty
Multiple hydraulic scenarios
Multiple failure conditions
Multiple growth projections
New infrastructure technologies
A few forward-thinking
leaders around the world
have figured this out
Current Wastewater/Stormwater/CSO Customers
• ICM Based
– New York City Department of Environmental Protection
– United Utilities (UK)
– South Australia Water
– City of Tulsa, OK
– Louisville and Jefferson County Metropolitan Sewer District
– Washington Suburban Sanitation Commission
– Suez France and Suez North America
– City of Omaha, Nebraska
– Kansas City Missouri
• SWMM Based
– Metropolitan Water Reclamation District of Greater Chicago
– City of Bend, OR
– City of Minneapolis
– Johnson County Wastewater
– Kansas City Missouri
– City of Scottsdale, AZ
– Portland Bureau of Environmental Services
Transformative economics
85%FLOODING REDUCTION
Grey vs Green
MINIMIZE FUTURE PLANT
EXPANSION
REQUIREMENTS
Chicago, Illinois
Optimatics | Confidential | page 8
66%FLOODING REDUCTION
25%COST REDUCTION
Transformative economics
Louisville, Kentucky
Avoided Costs Delivered
Water / Wastewater UtilityOriginal Cost
Traditional Method (million)
OptimaticsSolution Cost
(million)
Projected Savings (million)
% Savings
Fort Collins-Loveland Water, CO
• Min size requirements for fire flow$5.9 $3.0 $2.9 49%
Las Vegas Valley Water, NV
• Water age improvement via storage use$9.1 $7.4 $1.7 19%
Sierra Pacific, Reno-Sparks, NV
• Pipe optimization$26.0 $17.0 $9.0 35%
San Diego Water, Alvarado, CA
• Break analysis for improved reliability$55.0 $35.3 $19.7 36%
St Peters, MO
• Stormwater Conveyance$7.0 $2.0 $5.0 71%
Bend, OR Summer Operations/Energy
• Min. pumping and optimize storage use$1,895/day $1,460/day $435/day 23%
South Bend, IN CSO LTCP Optimization
• Storage and green infrastructure$412.0 $299.6 $112.5 27%
SA Water, Australia
• Integrating new supply$1.1B $403M $697M 63%
Bu
dge
t
Acceptable
Unacceptable
Optimatics | Confidential | page 10
Every dot represents a different strategy and combinations
Cost
Pe
rfo
rma
nce
De
ficie
ncie
s
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Outcome-driven data analytic strategyConsider millions of alternatives and select the optimal strategy
How do we do it?
CONSIDER ALL
POSSIBILITIES
holistic, computational cloud
ZERO IN
ON THE BEST
STRATEGIES,
FASTalgorithms, multi-objective
ACT WITH
CONFIDENCE
transparent, data-driven
Transform Infrastructure Economics
Optimizer & ICM Architecture
Local Machine AWS Cloud
ICM
Optimatics APIOptimizer
Bank of ICM Solvers
& ICM Exchange
Optimizer ICM
Decisions
• Conduit Shape
• Pump
• Storage
• LID
• Weir Height
• Infiltration & Inflow Reduction
• Sewer separation
• RTC
• Orifice
Design Criteria
• Discharge
• Flooding
• Surcharge
• Freeboard
• Max Depth
• Max Velocity
• d/D
Objectives
• Capital Cost
• Operating Cost
• Treatment Cost
• Flooding
• Discharge
• Risk
Costs/Data
• Pipe sizes
• Pump curves
• Capital costs –planning level
• Operating costs
• Maintenance costs
• LID types
• Other benefits
Optimizer & ICM Integration Summary
• Optimizer platform integrates directly with InfoWorks ICM through ICM Exchange
• Optimizer connects to an ICM database and imports networks and runs for optimization formulation and plan evaluation
• Seamless integration with the AWS Web Service to run optimization jobs on the cloud using a bank of ICM solvers
• Easily move back and forth between Optimizer and ICM - Export plans from Optimizer directly into ICM as new scenarios
Optimizer & ICM Workflow: Setup & Formulation
1. Import ICM database into Optimizer & select run
2. Formulate optimization problem within Optimizer
– Define potential alternative strategies
– Define costing data for alternatives
– Define performance criteria
– Optional: Add in external datasets to factor into optimization, such as asset management data, quality, environmental, social, factors
3. Evaluate input model and manually developed alternative plans
– Optimizer runs ICM Solver
– Hydraulic results, as well as costing & design criteria data reported for each evaluation in Optimizer
1. Import ICM database into
Optimizer
2. Formulate optimization
problem
3. Run hydraulic model & refine
formulation
Optimizer & ICM Workflow: Optimization & Review
4. One click submission of Optimizer formulation to run on the cloud
– Bank of ICM solvers located on high powered virtual machines on the cloud run hydraulic model
– Optimatics’ optimization algorithms intelligently search through the solution space, simultaneously:
• running hydraulic simulations
• costing alternative strategies
• and evaluating performance against user defined criteria
5. Download optimization results from the cloud at any point in the optimization
6. View, interrogate, and tweak output, run an updated optimization (if needed)
7. Export any alternative strategy plans of interest back into ICM as a new scenario
4. Submit formulation to Cloud
5. Download optimization results
6. Interrogate results, tweak as needed
7. Export plans back into ICM
Optimizer UI
ICM model imported
into Optimizer
Alternative strategy plans
& performance summary
Optimizer UI
Optimized results
downloaded from cloud
Detailed grid view for
network elements or
formulation components
Optimatics | Confidential | page 20
Transparent Decision Making
Transparent
• Helped pioneer ICM
integrated version of
Optimizer
• Water and Wastewater
Applications
• Developing Consequence
of Blockage Tool
• Justifying PR19
investments to OFWAT
North Preston Growth Strategy
• Conveyance vs Storage
• Avoid Flooding and CSO’s
• Optimal solution 25% less CAPEX
CSO Reduction Studies
• Generic approach would be to add storage to reduce CSO’s
• Used ICM Optimizer to evaluate effectiveness of reducing impervious
area in the catchment to achieve the required level of CSO reduction
• Helped identify where and how much impervious area reduction was
required and high level costing to indicate if it was feasible
Optimizer and Real Time Controls
• Optimize placement and control strategy to:
– Create in-line storage
– Create interconnections and diversions between sewersheds
– Filling and emptying of off-line storage
• Process
– Identify possible locations for control structures (e.g. sluice gates, weirs, etc.)
and their cost
– Define baseline control strategy in ICM
• For example, Gate 3B Setting = OPEN if Level in Pipe 3B is above 8 ft
– Provide options for alternative trigger levels in Optimizer (e.g. 7ft, 9ft, etc.)
– Optimizer will try alternate strategies, run hydraulic model and evaluate
system-wide impacts
Real Time Control in Optimizer
• Applied using varying levels of complexity
– South Bend, IN: in coordination with EmNet, optimization of grey and green
infrastructure once RTC strategy had been determined.
– NYC DEP: local control strategies for overflow structures. Simple static weir
conditions that identified potential for more active controls.
– Marseille, France: control set points for drop shaft structures leading to a
deep tunnel. Combined with assessment of tunnel sizing, alignment and
storage sizing/location.
– Kansas City, MO: coordinated control strategy set by EmNet and Optimizer
used to determine local grey and green infrastructure strategies.
• In ICM Version currently enhancing capability for more complex controls
Three Key Design Challenges we help you address
with our outcome-driven analytics strategy
Urban Drainage
Network Design
Water Distribution
Network Design Asset Management
Strategy Optimization
Planning and Prioritization of
Asset Management activities
within a network, driven by
asset data provided by your
Asset Management database
and GIS data stores.
Long term master planning,
and short term reactive and
speculative planning, driven by
a hydraulic model such as
Infoworks ICM or EPA SWMM.
Long term master planning,
and short term reactive and
speculative planning, driven by
a hydraulic model such as
Bentley WaterGems or
EPANET.
Our tools work with your existing hydraulic models and asset management models to
automate and optimize your decision making processes.
MARKET MAKER transform
Infrastructure Economics
HERITAGE OF
INNOVATION proven big data
expertise
GLOBAL STRATEGIC
PARTNERtrusted in 3 continents
REAL-WORLD EXPERTISEinfrastructure knowledge,
engineering experience
MOVEMENT OF
FORWARD-THINKING CUSTOMERS 300+ utilities
