Real Time Savings: Using High Density Real Time Monitoring and Control to Optimize South Bend, INs...

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Real Time Savings: Using High Density Real Time Monitoring and Control to Optimize South Bend, IN’s Combined Collection System Timothy Ruggaber, M.S.Env.E., P.E. Director of Operations EmNet, LLC

Transcript of Real Time Savings: Using High Density Real Time Monitoring and Control to Optimize South Bend, INs...

Page 1: Real Time Savings: Using High Density Real Time Monitoring and Control to Optimize South Bend, INs Combined Collection System Timothy Ruggaber, M.S.Env.E.,

Real Time Savings:

Using High Density Real Time Monitoring and Control to Optimize

South Bend, IN’s Combined Collection System

Timothy Ruggaber, M.S.Env.E., P.E.Director of Operations

EmNet, LLC

Page 2: Real Time Savings: Using High Density Real Time Monitoring and Control to Optimize South Bend, INs Combined Collection System Timothy Ruggaber, M.S.Env.E.,

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Case Study: City of South Bend, IN

Population: 107,000CSO discharge points: 36CSO area: 20 square milesTotal area: 40 square milesCSO volume: 1.0 billion gallons/year

Original LTCP:Tunnel, separation, WWTP expansionCost: $450M Goals

Be in compliance Be responsible to rate-payers Only spend what is needed to solve the problem

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CSO Abatement Approaches

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Monitoring

Traditional

Limited availability of real data

Storm temporal & spatial variability

Static infrastructure Largest improvement

project Will our design achieve

the WQ objectives?

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CSO Abatement Approaches

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South Bend Deep system

characterization Design based in dense

permanent monitoring Dynamic infrastructure that

can be adjusted to storm variability

Optimize available and future infrastructure Conveyance Storage

Page 5: Real Time Savings: Using High Density Real Time Monitoring and Control to Optimize South Bend, INs Combined Collection System Timothy Ruggaber, M.S.Env.E.,

South Bend Goals and Objectives

Reduce CSOs Eliminate dry weather

overflows Prevent basement

backups Identify sources of I/I Calibrate Model

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Use permanent dense monitoring to understand system hydraulics

Determine hydraulically underutilized areas

Tailor solutions for specific problems

Objectives Goals

Page 6: Real Time Savings: Using High Density Real Time Monitoring and Control to Optimize South Bend, INs Combined Collection System Timothy Ruggaber, M.S.Env.E.,

Operations and Control Basics

Eyes – Monitor, Characterize

Brain – Analyze, Evaluate, Understand

Hands – Implement

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EyesCharacterize

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Traditional Eyes SCADA

High cost Limited # of sites Limited choices for sites

Inspections Intermittent Temporal or spatial

comparisons difficult Temporary Monitoring

Limited data, miss events Battery changes Download data or install

“hockey puck” antenna Modeling

Simplified system Idealized storm events Limited O&M benefit

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CSOnet® LogiCover™

9Patent Pending

Extends SCADA

Real Time Data & Logger

Up to 3 year battery life

Composite & Hybrid models (H-20, HS-20, H-25, HS-25)

Can connect to level, flow, and water quality meters

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Dense Monitoring System

CSS SCADA Points: 17CSOnet® Points: 110

SCADA System: Rockwell – RSViewSCADA Monitored locations: 17 (mostly lift stations)CSOnet® Monitoring: CSO outfalls: 36 sites Interceptor: 27 sites Trunk lines: 42 sites Retention basins: 5 sites Cost: $3M

“Before CSOnet®, it was like we had an artist’s rendering of our collection system. Now, it is like we have a high definition video feed.”Jack Dillon,Director of Environmental Services, South Bend

Page 11: Real Time Savings: Using High Density Real Time Monitoring and Control to Optimize South Bend, INs Combined Collection System Timothy Ruggaber, M.S.Env.E.,

BrainsAnalyze, Understand,

Evaluate

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Data,Information,Knowledge

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SCADA Integration, Data Baselines, and Alarms

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Real Time Visualize Data

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Dial showing flow rate

River stage

Weather info

Depth at CSO

Conditions in trunkline

Replay Storm event

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Real Time Data Analysis

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Overflow

Surcharge

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Anomaly Detection

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“[The RTM system] has shown me several problem sites that were previously misdiagnosed. I’ve been able to focus on these problems and I believe that CSOnet has been the saving grace that allowed us to identify problem areas and get to the root cause of many CSO overflows and other badly needed collection system maintenance issues.”

Richard RadcliffSouth Bend CSO Manager

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Small blockage forms CSO throttle

is cleaned

Blockage is detected using RTM system

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Deviations from NormalPinpoint problems, schedule solution, reduce emergency maintenance – save energy!

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Dry Weather Overflow Elimination

Eliminated 66% of dry weather overflows from 2008 to 2009 $797,500 in 2008 fines vs. $275,000 in 2009 fines –

$522,000 in fine elimination

Goal for 2010: Zero

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Increased Staff Responsibilities

Fix problems instead of looking for them Stop just putting out fires Perform early preventative

maintenance: Vactor 50 additional days Increase number of sewer inspections at

non-routine locations by 175% Clean 2000 additional catchbasins

Annual Additional O&M Benefit –

$189,000

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“[This system] is like hiring more personnel, but without the cost.”

Gary Gilot, Director of Public Works,City of South Bend, IN

Before RTM system

Search for DWOs Resolve DWOs Misc. duties

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Collection System Inefficiencies

Is WWTP operating at full capacity before CSO

events?

Are conveyance assets at 100%

before CSO events?

NO

Consider RTC to improve

conveyance

NO

If storage is available, are

storage assets at 100% before CSO

events?

YES

NO Consider RTC to improve storage

after conveyance

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Real Time Decision Support

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Present / Real Time

Past/Database

Future/ Hydraulic Model

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CSOnet® Automatic Control Strategy

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HandsImplement

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Crawl, Walk, Run

Integrated RTC of CSO Lift Station Flooding at Interceptor location dropped from 5

times annually to once annually

Intelligent control of two retention basins Improve effectiveness of storage by 110%

Dynamically control key CSOs Have WWTP run at full capacity before overflow

occur

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Maximize Flow to WWTP

Throttle Line

Combined Sewer

Trunkline

Interceptor Line

OverflowLine

Weir

Cabinet or Traffic Signal

Gateway

INode

Sensor

Stilling Well

Manhole Cover Antenna

Weir

Sensor

Stilling Well

Larger ParallelThrottle Line

Actuated ValveCombined SewerTrunkline

Interceptor Line

Conduit

OverflowLine

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CSOnet® Control Strategy

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Proof of Concept

Optimization Engine

Based in EPA SWMM (open source)

Model RTC strategies

Run offline to familiarize with control logic, tailor algorithms

Find knee of the curve

Page 27: Real Time Savings: Using High Density Real Time Monitoring and Control to Optimize South Bend, INs Combined Collection System Timothy Ruggaber, M.S.Env.E.,

Implications of RTC In South Bend

Reduce CSO volume by balancing flows to WWTP

Increase potential of existing storage

Focus storage on peak reduction, maximize conveyance

Control discharges into collection system

Eliminate need for deep tunnel for storage

Reduce New Construction by $120 M

Annual Overflow Volume

Existing System (MG)

Annual Overflow Volume CSOnet System (MG)

Percentage Reduction (%)

918.2 702.8 23%

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Summary Dense real time

monitoring and control

Maximizes the use of existing infrastructure

Characterize, Analyze, Implement, REPEAT

$120 M in avoided construction

$500,000 in avoided fines

$189,000 in additional O&M benefit

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Thank youTim Ruggaber, M.S.Env.Eng., P.E.

[email protected]

574.855.1012

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Questions

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