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ASCE/EWRI LID - Marcus Quigley

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Information about ASCE/EWRI LID - Marcus Quigley

Published on November 26, 2008

Author: mquigley8

Source: slideshare.net

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New Directions in Real-Time and Dynamic Control for Combination Rainwater Harvesting and Low Impact Development Management Systems Marcus Quigley - Geosyntec Consultants

What roles can and should technology play in addressing specific urban water control problems? Can passive approaches achieve optimal solutions given the realities of the built environment? What could we do with dynamic controls? What is the state of the art? The Big Picture

What roles can and should technology play in addressing specific urban water control problems?

Can passive approaches achieve optimal solutions given the realities of the built environment?

What could we do with dynamic controls?

What is the state of the art?

Hardware Programmable Logic Controllers Commercial Off the Shelf (COS) Systems Application Specific Designs Microcontrollers Single Board Computers Capabilities Communications (IP Based) Costs Decreasing Rapidly (Processors <$40, Full Controllers <$100) Obsolescence Avoid Creating Legacy Systems Control Technology – Where Are We?

Hardware

Programmable Logic Controllers

Commercial Off the Shelf (COS) Systems

Application Specific Designs

Microcontrollers

Single Board Computers

Capabilities

Communications (IP Based)

Costs

Decreasing Rapidly (Processors <$40, Full Controllers <$100)

Obsolescence

Avoid Creating Legacy Systems

Real-Time Tide Gate Retrofit for Salt Mash Restoration Patent # 60/850,600 and 11/869,927

Application Specific Designs Processor/Controller 32-bit ARM 7 6 x 10 bit A/D I/O 1 x 10 bit D/A I/O 31 Digital I/O channels 5000 lines of code 10Mb Ethernet Built in web server Embedded compiler <1 W power consumption Cost <$40 Rapid prototyping of daughter boards Other Systems – Single Board Computers

Processor/Controller

32-bit ARM 7

6 x 10 bit A/D I/O

1 x 10 bit D/A I/O

31 Digital I/O channels

5000 lines of code

10Mb Ethernet

Built in web server

Embedded compiler

<1 W power consumption

Cost

<$40

Rapid prototyping of daughter boards

Other Systems – Single Board Computers

 

Harvesting Controller Prototype 5” 7”

Why Should I Consider RTC? I am a Water Resources Engineer What could possibly make me want to revisit those painful undergrad semesters spent on circuits? Hasn’t all this been done before?

I am a Water Resources Engineer

What could possibly make me want to revisit those painful undergrad semesters spent on circuits?

Hasn’t all this been done before?

Examples of What Can We Accomplish Hydrology Pre-development hydrograph matching Hydromodification Site level CSO dynamic control Reuse Combination detention/reuse/harvesting facilities Water Quality Adaptive plug flow detention time optimizations Scale Issues Site level systems acting at watershed scales Predictive Management Integrate internet accessible sources into operational decisions (e.g., forecasts)

Hydrology

Pre-development hydrograph matching

Hydromodification

Site level CSO dynamic control

Reuse

Combination detention/reuse/harvesting facilities

Water Quality

Adaptive plug flow detention time optimizations

Scale Issues

Site level systems acting at watershed scales

Predictive Management

Integrate internet accessible sources into operational decisions (e.g., forecasts)

The Tools Distributed System Designs Scalable Integrate/network systems Embedded Models (VS-SWMM) Runoff block calculations Internet rainfall data source or on-site On-board compilers Integrated web servers IP communications

Distributed System Designs

Scalable

Integrate/network systems

Embedded Models (VS-SWMM)

Runoff block calculations

Internet rainfall data source or on-site

On-board compilers

Integrated web servers

IP communications

Hydromod

Effective Work Index (W) Range of Geomorphically Significant flows Characteristics of Bed and Bank Materials  c  bi Stream Flow  c Normal Dry Weather Flow Level

Erosion Potential (Ep) Post-Urban Pre-Urban Work Done Time Shear Stress  c

Concept behind flow duration control standard Pre vs. Post-Development Flow Flow Bins Frequency (counts) Pre-Development Flows Post-Development Flows Post-Development Flows with Duration Control Flow Bins Frequency (counts) Matching Flow Duration Q c Q c

Flow-Duration Example 1 (Orange County, Gobernadora Canyon)

Flow-Duration Example 2 (Orange County, Chiquita Canyon)

What would be ideal? Hydrograph matching Even better - model matching Arbitrary watershed characteristics Embedded model Enables adaptive management VS-SWMM Use desktop Model input files Same algorithms Significant permitting advantages

Hydrograph matching

Even better - model matching

Arbitrary watershed characteristics

Embedded model

Enables adaptive management

VS-SWMM

Use desktop Model input files

Same algorithms

Significant permitting advantages

On-Site CSO and Reuse and Combined Detention/Harvesting

Tank Operation Example SCS 10-Year 24-Hour Event

SCS 10-Year 24-Hour Level 4 Retention Storage Level 6 0:00

6:45 Retention Storage Level 4 Level 6 SCS 10-Year 24-Hour

Retention Storage Level 4 Level 6 8:35 SCS 10-Year 24-Hour

Retention Storage Level 4 Level 6 12:00 SCS 10-Year 24-Hour

Retention Storage Level 6 Level 4 13:00 SCS 10-Year 24-Hour

Level 6 Level 4 Retention Storage 18:40 SCS 10-Year 24-Hour

Level 6 Level 4 Retention Storage 21:05 SCS 10-Year 24-Hour

Tank Operation Example “Large” Storm

“ Large” Storm 7/19/1988 12:00 Retention Storage Level 6 Level 4

7/19/1988 20:50 Retention Storage Level 6 Level 4 “ Large” Storm

7/19/1988 22:50 Level 6 Level 4 Retention Storage “ Large” Storm

7/20/1988 2:10 Level 6 Level 4 Retention Storage “ Large” Storm

7/20/1988 7:50 Level 6 Level 4 Retention Storage “ Large” Storm

Tank Operation Example “Small” Storm

“ Small” Storm 3/3/1988 14:20 Level 6 Level 4 Retention Storage

3/3/1988 17:45 Level 6 Level 4 Retention Storage “ Small” Storm

3/3/1988 19:45 Level 6 Level 4 Retention Storage “ Small” Storm

3/3/1988 22:20 Level 6 Level 4 Retention Storage “ Small” Storm

Conventional Harvesting System Detention/Infiltration System Harvesting System Infiltration Roof Runoff Site Impervious Runoff Irrigation Stream

Combination Detention/Infiltration/Harvesting System Infiltration Roof Runoff Site Impervious Runoff Irrigation Stream Controlled Valves Tight Tank

What roles can and should technology play in addressing specific urban water control problems? Can passive approaches achieve optimal solutions given the realities of the built environment? What could we do with dynamic controls? What is the state of the art? Revisiting the Big Picture

What roles can and should technology play in addressing specific urban water control problems?

Can passive approaches achieve optimal solutions given the realities of the built environment?

What could we do with dynamic controls?

What is the state of the art?

New Directions Consumer Behavior Modification Optimization

Ambient Information Systems Goal Information Conveyed to Individual Target Outcomes Reduce Consumptive Use Waste Individual feedback on instantaneous and/or monthly cumulative water use, water pricing data, and/or system demand. Information regarding irrigation consumption best practice based on weather and/or climatic data. Indicating and alerting individuals to changes in local regulatory actions relative to consumptive use such as irrigation bans. Reductions in consumptive use and changes in timing of use as a result of feedback and awareness of impacts. Optimize Storm Water Control Usage Information on how to optimize use of storm water controls that require individual participation (e.g., rain barrel, blue roof, or cistern management). Optimal use of Rain Barrels or other controls which require operator control and decision making (e.g., drain or leave full) for volume control in urbanized areas. Reduce CSO Impacts Information regarding receiving water quality and CSO status in combined sewer areas. Consumptive use changes based on direct impacts on receiving waters. These could include but are not limited to timing or other decisions about consumptive use and decisions about waste water quality (e.g., what do I send down the drain at a given time).

 

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