Globally Coordinated Distributed Storm Water Management System€¦ · Population: 100,886...

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Globally Coordinated Distributed Storm Water Management System Luis A. Montestruque, Ph.D., EmNet, LLC Michael D. Lemmon, Ph.D., University of Notre Dame CySWater, 2015

Transcript of Globally Coordinated Distributed Storm Water Management System€¦ · Population: 100,886...

Page 1: Globally Coordinated Distributed Storm Water Management System€¦ · Population: 100,886 Established: 1865 Treatment Plants: 1 (260,000 m^3/day) Outfalls: 36 CSO Overflow: 7,500,000

Globally Coordinated Distributed Storm WaterManagement System

Luis A. Montestruque, Ph.D., EmNet, LLC

Michael D. Lemmon, Ph.D., University of Notre Dame

CySWater, 2015

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Combined Sewer Overflows

Page 3: Globally Coordinated Distributed Storm Water Management System€¦ · Population: 100,886 Established: 1865 Treatment Plants: 1 (260,000 m^3/day) Outfalls: 36 CSO Overflow: 7,500,000

Size of the Problem

� 772 cities

� 46,000,000 people

� 3,300,000,000 m^3/yr

� $100,000,000,000

San Francisco, CA

Seattle, WA

Chicago, IL

New York, NY

South Bend, IN

Page 4: Globally Coordinated Distributed Storm Water Management System€¦ · Population: 100,886 Established: 1865 Treatment Plants: 1 (260,000 m^3/day) Outfalls: 36 CSO Overflow: 7,500,000

Population: 100,886Established: 1865Treatment Plants: 1 (260,000 m^3/day)Outfalls: 36CSO Overflow: 7,500,000 m^3/yearAbatement Plan: $700,000,000

South Bend, Indiana

Page 5: Globally Coordinated Distributed Storm Water Management System€¦ · Population: 100,886 Established: 1865 Treatment Plants: 1 (260,000 m^3/day) Outfalls: 36 CSO Overflow: 7,500,000

Possible SolutionsPassive Active

Wastewater plant expansion

Separation

Atlanta 27% separation @ $900M

In-Line Storage

Chicago TARP $3.2B

Off-Line Storage

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Problem Characteristics

Page 7: Globally Coordinated Distributed Storm Water Management System€¦ · Population: 100,886 Established: 1865 Treatment Plants: 1 (260,000 m^3/day) Outfalls: 36 CSO Overflow: 7,500,000

Problem Characteristics� Saint Venant 1-D equation

��

��+ �

��

��+ �

��

��+ � � − � = 0

acc. conv. pres. grav. fric.

� Highly non-linear dynamics: pumps, overflow structures, runoff

� Non deterministic dynamics:manual operation, precipitation

Page 8: Globally Coordinated Distributed Storm Water Management System€¦ · Population: 100,886 Established: 1865 Treatment Plants: 1 (260,000 m^3/day) Outfalls: 36 CSO Overflow: 7,500,000

Problem Characteristics

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Problem Characteristics

CSS SCADA Points: 17CSOnet® Points: 110

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Real Time Monitoring System: INode

Composite Manhole CoverHS20 rated, corrosion resistant

Embedded AntennaRadiate signal out of manhole cover

Explosion Proof BoxClass 1 Div 1 Safe, corrosion resistant

Chasqui ProcessorMica2-based, rugged IO, 2ppm RTC

4 D-size Lithium Battery1 Yr Life, Temperature Resistant

Max Stream Radio1 Watt, 900MHz SS, 115kbps

Cam Lock Mechanism Prevent cover from popping out

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Permanent PowerAlways on

Real Time Monitoring System: GNode

ARM SBC running LinuxHigh level network maint. & comm.

Max Stream RadioCommunicate with sensor network

Cellular ModemWide Area Network

Real Time ClockSynched with NIST clocks

Traffic Light Pole Mounted3 – 6 m above grade

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Name: R.3b.1, Portage and BlaineNode Number: 04643Gradient: 20Sensors: NAPower: N

Name: I.3a.2, TMP 2-1Node Number: 42041Gradient: 20Sensors: 1 pressurePower: N

Name: R.3a.1, Kinyonand ShermanNode Number: 19013Gradient: 10Sensors: NAPower: N

Name: I.3b.2, TMP 4-1Node Number: 33983Gradient: 30Sensors: 1 pressurePower: N

Name: G.3a.1, CSO 3Node Number: 19892Gradient: 0Sensors: 1 existing, A/V meterPower: Y

Name: I.3b.1, for CSO 4Node Number: 19067Gradient: 20Sensors: 1 pressurePower: N

Name: I.3a.1, for CSO 2Node Number: 03516Gradient: 30Sensors: 1 pressurePower: N

Name: G.3a.2, CSO 2Node Number: 32309Gradient: 20Sensors: 1 pressurePower: N

Name: G.3b.1, CSO 4Node Number: 30514Gradient: 10Sensors:1 pressurePower: N

Real Time Monitoring System

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Real Time Monitoring System� 800 km of sewers

� 50 km2 of CSO area

� 111 sensors

� Monitor: � 36 outfalls,

� 27 interceptor sites

� 42 trunkline sites

� 5 basins

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Visualize

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Watchdog

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Distributed Control

CSO Structure

St. Joseph River

WWTPInterceptorTrunkline

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Dry Weather

50%cap.

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Wet Weather: On SetDowntown

60%cap.

Suburbs

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Wet Weather: Mid Storm

100%cap.

DowntownSuburbs

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Wet Weather: End of StormDowntown

80%cap.

Suburbs

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Consumer Supplier Algorithm� Agent-Based control

� Network nodes trade capacity

� Downstream nodes are suppliers

� Upstream nodes are consumers

� Consensus problem

capacity

cost

gallons

cost

Local Optimization

Minimize cost

Compete for WWTP

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• Default is closed• Likelihood of overflow• Interceptor Capacity

• Downstream• At “time of impact”

• Calc. Additional Flow• Compete for Int. Capacity• Open Valve

Distributed Control

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Control Valves

Interceptor

Existing Throttle

Trunk Line

Diversion Structure

Overflow Line

New Throttle

GnodeControlled

Valve

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Results

� ~70% CSO reduction

� ~25% due to CSOnet

� Cost Reduction: $150M

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Future WorkUrban Water Cycle Management

� Drinking Water• Energy• Security• Leak Detection

� Stormwater• Flood Protection• Harvesting

� Receiving Water• Nutrient Loading due to agricultural ops.• Climate Change

� Green Infrastructure• Maintenance through crowd sourcing• Sensor fusion

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Thank You

Luis A. Montestruque

[email protected]

Michael D. Lemmon

[email protected]

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Other Research Initiatives

� Drinking Water Management

� Real Time Drainage Tile Management

� BTEX monitoring of ground water

� River Water Quality Monitoring

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Impact

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100% DWO Reduction from 2008-2011

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Combined Sewer Overflows