Transforming Our Cities: High Performance Green Infrastructure and Distributed Real-time Monitoring and Control
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The document discusses the integration of high-performance green infrastructure with distributed real-time monitoring systems to enhance urban water management through the Internet of Things (IoT). It outlines various applications of such systems, including advanced rainwater harvesting and smart detention, highlighting their effectiveness in optimizing wet weather control and reducing overflow. The document emphasizes the importance of merging technology with environmental infrastructure for improved monitoring and control capabilities.
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
- 3.  Outline      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 – – – – 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
- 37. Twin Oaks Library: User Experience
- 38. Pilot Site: Washington, DC Engine House #3
- 46. Engine House #25: Design
- 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.