Optimatics’ solutions are employed across four€¦ · environmental, social, factors 3. Evaluate...

transcript

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

2018: MODERN DESIGN SCOPE

Hydraulic Performance

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%

Acceptable

Unacceptable

Every dot represents a different strategy and combinations

! !! ! !

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

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

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

Optimatics’ solutions are employed across four€¦ · environmental, social, factors 3. Evaluate...

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