LID Conference Presentation: Transforming Our Cities: High Performance Green Infrastructure and Distributed Real-time Monitoring and Control

1. Transforming Our Cities: High
Performance Green Infrastructure and
Distributed Real-time Monitoring and
Control
Marcus Quigley, P.E., D.WRE, Geosyntec

2. Collaborators and Partners
ReNUWIt

3.  Outline
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

Perspectives on the Internet-of-Things (IoT)
Real-Time Controls and Monitoring
Varying BMP Applications
Performance results
Future of monitoring for design

4. Internet-of-Things
(IoT)
 Definitions:
 Extending the virtual
internet to physical
objects
 Physical computing
 Enabled through IP
based field deployed
gateways
Source: Constellation Research
http://press.teleinteractive.net/me
dia/blogs/tialife/InternetofThingsV
ector.svg

5. Perspectives on Internet-of-Things
 National Intelligence Council - “Disruptive civil
technologies: six technologies with potential
impacts on US interests out to 2025”
 Likely rapid adoption and ubiquity in a number of
civil environments (e.g., water)
 Cisco Internet Business Solutions Group predicts
there will be 25 billion devices connected to the
Internet by 2015 and 50 billion by 2020.
 “Internet-based M2M + M2H services” services”

6. The Big Picture - Distributed
Real Time Monitoring and Control
 Can passive approaches achieve optimal
solutions given the realities of the built
environment?
 What roles can and should information
technology play in addressing specific
urban water engineering problems?
 What can be done now with dynamic
intelligent controls?
 What is the state of the art?

7. Initial Research Problem
 Find the least expensive
most flexible means for
monitoring and controlling
the physical environment
and integrating internet
based datastreams.
 UNH CICEET Grant
Patent # 60/850,600 and 11/869,927

8. Highly Distributed Real-Time
Monitoring and Control (DTRC)
“Ecosystems” of smart environmental
infrastructure
 Platforms that interact and scale
 Disparate data sources can be combined
for visualization, analysis, and system
control
OptiRTC featured in
HOW THE “INTERNET OF THINGS” IS TURNING
CITIES INTO LIVING ORGANISMS
–
–
–
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Access field and web-based data
Interface with other systems
Complex algorithms
Specified data can be made available to the
public
– Data access and user experience is
user/group specific

9. DRTC Platform Overview
User Interface Web Services
and User Dashboards
Internet Based Weather
Forecast or other
internet data sources
(Web service API)
Azure Tables/Blobs
Data Logging and
Telemetry Solutions
OptiRTC Data
Aggregator and Decision
Space
Field Monitoring and Control
(Sensors, Gauges, and Actuators)
Rapid Deployment Field “Kits”
With Wireless Sensors
Alerts
Email
Tweet
SMS
Voice Autodial

10. Types of Clouds

12. DRTC Examples 2013
University of Chicago North Sciences Quad
Advanced Rainwater Harvesting System
• 102K Galllons Detention
• 89,760 Gallons of Integrated
Active Onsite Use
Seatlle University
Smart Detention System
• Retrofit of Detention
• CSO area
Route 44 Site, Taunton, MA
Ozone Injection System Monitoring
• 40 Wells
SAP, Newtown Sq., PA
Green Roof Irrigation
Control System
• Water Level Control
• Forecast Integration
Denver Green School
Advanced Rainwater
Harvesting System
• 3,000 Gallon Cistern
DDOE, Washington, DC
Two - Advanced Rainwater Harvesting
Systems at Fire Houses
• 5,000 Gallon Cisterns
EPA Headquarters, Washington, DC
• Retrofit of Cisterns
Whittaker
Real-time Groundwater Monitoring
• 12 wells
• 1 flow meter
Public Safety Building Omaha, NE
Porous Pavement Retrofit
• Smart Under Drain Control
• CSO Area
NCState Pilot, New Bern, NC
Advanced Rainwater Harvesting System
• 3,300 Gallons Fully Active System
St. Joseph, MO
Smart Pond Control
CSO Flow Mitigation
Dalton Landfill, Dalton, GA
Leachate Monitoring System
• Leachate Force Main
Wet Well
• Six Side Slope Risers
Austin and Pflugerville, TX Two Projects
Twin Oaks Library Advanced Rainwater
Harvesting System
• Retrofit of 5000 Cisterns
Pflugerville Detention Retrofit
• Smart Outlet Control
• Water Quality Retrofit
MBS - St. Louis, MO
Advanced Rainwater
Harvesting Systems
• Ranging from 10K to 20K
Gallons
• Used for Irrigation
Nestle Water
Well Field/Weather/Stream Monitoring System
• 15 Wells at 3 Sites
• USGS Gauges
• NWS Forecasts
• WMD Feeds

13. Adaptive Surface Water Management
Using DRTC
 Advanced rainwater harvesting
 Predictive retention and detention systems
using precipitation forecasts
 Controlled under drain bioretention
 Active porous pavement systems
 Active blue and green roofs

14. Technology Application:
Advanced Rainwater Harvesting System

15. Advanced Rainwater Harvesting System
Concept
 Goal: Storage for both effective wet weather
control and on-site use

16. Case Study:
Advanced Rainwater Harvesting System
North Carolina
System Description
 Cistern installed to store runoff and make available onsite
 Web-based precipitation forecasts are used to
automatically control releases to combined sewers or
downstream BMPs (e.g., infiltration/bioretention)

17. NC State Pilot
System Behavior Week of 9/20/2011
Forecast Datastream
70% Threshold

18. NC State Pilot
System Behavior Week of 9/20/2011
QPF and POP Forecast Datastream (Threshold of 70%)

19. NC State Pilot – Dashboard (1-min refresh)
System Behavior Week of 4/5/2012 11:52 AM

20. NC State Pilot – Dashboard (1-min refresh)
System Behavior Week of 4/5/2012 2:06 PM

21. NC State Pilot – Dashboard (1-min refresh)
System Behavior Week of 4/6/2012 12:14 AM

22. NC State Pilot – Dashboard (1-min refresh)
System Behavior Week of 4/6/2012 12:14 AM

23. NC State Pilot – Dashboard (1-min refresh)
System Behavior Week of 4/6/2012 8:38 AM

24. NC State Pilot – Dashboard (1-min refresh)
System Behavior Week of 4/6/2012 3:34 PM

25. 7/11/13 12:00 pm
7/13/13 12:00 pm
7/12/13 12:00 pm
7/11/13 12:00 pm

26. NC State Site 8/16/13-8/17/13

27. NC State Site 8/19/13 – 12:53 PM EDT

28. NCState System

29. 88,630 L Released
36,560 L
Used by Tryon Palace
86% Volume Reduction
93% Peak Flow Reduction

30. How Much of a Difference
Did it Make?
Observed
(With
DRTC)
Overall Wet Weather
Volume Reduction
Mean Peak Flow
Reduction
Overflow Frequency
Dry Rain Tank
Frequency
Modeled
(Without
DRTC)
86%
21%
93%
11%
18%
58%
0%
0%

31. NC State Site - Hurricane Sandy

32. NC State Site - Hurricane Sandy

33. Technology Application:
Advanced Rainwater Harvesting Systems
Other Installations

34. Twin Oaks Library - Austin

35. Twin Oaks Library:
Remote Reality
Interface

36. Controlled Release
to Bioretention

37. Twin Oaks Library: User Experience

38. Pilot Site: Washington, DC
Engine House #3

46. Engine House #25: Design

50. “Harvesting Garden” Rendering

52. Urban Drainage and Flood Control District: Advanced
Rainwater Harvesting System Installation
at Denver Green School

53. UDFCD – System Overview
Cistern
Electrical
Enclosure
Manual
Override
Valve
Strainer
Valve
Enclosure
Disconnect
Union

54. UDFCD – Electrical Enclosure (in office)
Power Supply
ioBridge Gamma
Control Module
Terminal Blocks

55. UDFCD – Electrical Enclosure (installed)
Cellular Modem
and Antenna

56. UDFCD – Valve Enclosure
Outlet
Flow Direction
Solenoid Control
Valve
In-Line Pressure
Transducer

57. Chattanooga, TN Main
Terrain Park Harvesting
Retrofit

58. Chattanooga, TN Main Terrain Park
Harvesting Retrofit

59. Chattanooga, TN Main Terrain Park Harvesting Retrofit
8/18/13

60. Seattle University
Site Connection Tank
Retrofit
8/18/13

61. EPA Headquarters Building Cisterns Retrofit
Washington, DC – In Progress

62. Technology Application:
Smart Detention/Retention/Flood Control
Retrofits

63. Case Study:
TX, Pond/Flood Control Retrofit
 Outlet Control Structure Retrofit
for Water Quality Enhancement
 Balance Flood Control and Water
Quality
Dray Pond Retrofit

65. Technology Application:
Modeled Wetland Pond/water Feature Retrofits
North Carolina Design ( collaboration with Bill Hunt)
Depth Time Series and
Average Hydraulic Residence
Time for Passive Outlet
Average Hydraulic
Residence Time (hrs)
13 days
Depth Time Series and Average
Hydraulic Residence Time for
Actively Controlled Outlet
Average Hydraulic
Residence Time (hrs)
24 days

66. Brooklyn Botanical Garden – Pond Control for CSO Mitigation

67. Technology Application:
Controlled Underdrain Bioretention

68. Case Study:
Controlled Bioretention Underdrain
Bioretention site rendering
Maximize Infiltration, minimize bypass, and achieve
water quality targets

69. Overcoming fear of failure with “robust
design”
Option: High
Flow Rate
Media
Option: Valve
on Under Drain

70. Technology Application:
Active Porous Pavement

71. Actively Controlled Porous Pavement
City of Omaha, NE

72. Control plate height
is variable and
serves as overflow
when closed
Control Box
Pressure
Transducer
Actuator
Slide Gate
Trash Screen
72
Control Plate with Actuated Slide Gate (Open)

73. 73
Control Plate with Actuated Slide Gate (Closed)

74. Technology Application:
Active Green Roofs

75. Case Study:
Active Green Roof, Pennsylvania
Active Irrigation
Valve
Green Roof Project Site

76. Dashboard SAP Green Roof – 7/16/13 2:43 pm

77. Dashboard SAP Green Roof – 7/11/13

78. Dashboard SAP Green Roof – 7/12/13

80. Technology Application:
Water Quality Monitoring and
Associated Control

82. Closing Thoughts – Policy and Practice
 Merging of information technology and infrastructure will
increasingly be important if not critical.
 Low cost, reliable, and highly functional sensors and
sensor platforms will change everything we know about
how we currently regulate, enforce, and understand
environmental systems.
 Be creative, explore the possibilities, the future is
blindingly interesting.