highly distributed real-time control - cshema conference presentation

64
Advanced Rainwater Harvesting and Stormwater Highly Distributed Real-time Environmental Monitoring and Control Dr. William Hunt, North Carolina State University Kathy DeBusk, North Carolina State University Marcus Quigley, P.E., D.WRE, Geosyntec Presented - CSHEMA 2013 – Orlando, FL

Upload: marcus-quigley

Post on 06-Jul-2015

165 views

Category:

Technology


0 download

TRANSCRIPT

Page 1: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Advanced Rainwater Harvesting and Stormwater

Highly Distributed Real-time Environmental

Monitoring and Control

Dr. William Hunt, North Carolina State University Kathy DeBusk, North Carolina State University

Marcus Quigley, P.E., D.WRE, Geosyntec

Presented - CSHEMA 2013 – Orlando, FL

Page 2: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Collaborators and Partners

ReNUWIt

Page 3: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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?

Page 4: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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

Page 5: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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 – 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

OptiRTC featured in

HOW THE “INTERNET OF THINGS” IS TURNING CITIES INTO LIVING ORGANISMS

Page 6: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Internet Based Weather Forecast or other internet

data sources (Web service API)

User Interface Web Services and User Dashboards

OptiRTC Data Aggregator and Decision Space Data Logging and Telemetry

Solutions

Field Monitoring and Control (Sensors, Gauges, and Actuators)

Alerts Email Tweet SMS

Voice Autodial

Azure Tables/Blobs

DRTC Platform Overview

Rapid Deployment Field “Kits” With Wireless Sensors

Page 7: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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

Page 8: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Technology Application: Advanced Rainwater Harvesting System

Page 9: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Advanced Rainwater Harvesting System Concept

Goal: Storage for both effective wet weather control and on-site use

Page 10: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

System Description Cistern installed to store runoff and make available on-

site Web-based precipitation forecasts are used to

automatically control releases to combined sewers or downstream BMPs (e.g., infiltration/bioretention)

Case Study: Advanced Rainwater Harvesting System

North Carolina

Page 11: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

NC State Pilot System Behavior Week of 9/20/2011

Forecast Datastream

70% Threshold

Page 12: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

NC State Pilot System Behavior Week of 9/20/2011

QPF and POP Forecast Datastream (Threshold of 70%)

Page 13: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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

Page 14: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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

Page 15: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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

Page 16: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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

Page 17: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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

Page 18: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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

Page 19: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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

7/13/13 12:00 pm

7/11/13 12:00 pm

Page 20: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

NCState System This Morning

Page 21: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

88,630 L Released

36,560 L Used by Tryon Palace

86% Volume Reduction 93% Peak Flow Reduction

Page 22: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

How Much of a Difference Did it Make?

Observed (With

DRTC)

Modeled (Without DRTC)

Overall Wet Weather Volume Reduction 86% 21%

Mean Peak Flow Reduction 93% 11%

Overflow Frequency 18% 58% Dry Rain Tank Frequency 0% 0%

Page 23: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

NC State Site - Hurricane Sandy

Page 24: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

NC State Site - Hurricane Sandy

Page 25: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Technology Application: Advanced Rainwater Harvesting Systems

Other Installations

Page 26: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Twin Oaks Library - Austin

Page 27: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Twin Oaks Library: Remote Reality

Interface

Page 28: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Controlled Release to Bioretention

Page 29: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Twin Oaks Library: User Experience

Page 30: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Pilot Site: Washington, DC Engine House #3

Page 31: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 32: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 33: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 34: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 35: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 36: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 37: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 38: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Engine House #25: Design

Page 39: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 40: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 41: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 42: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

“Harvesting Garden” Rendering

Page 43: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 44: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Chattanooga, TN Main Terrain Park Harvesting

Retrofit

Page 45: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Chattanooga, TN Main Terrain Park Harvesting Retrofit

Page 46: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Technology Application: Smart Detention/Retention/Flood Control

Retrofits

Page 47: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Outlet Control Structure Retrofit for Water Quality Enhancement

Balance Flood Control and Water Quality

Dray Pond Retrofit

Case Study: TX, Pond/Flood Control Retrofit

Page 48: Highly Distributed Real-Time Control - CSHEMA Conference Presentation
Page 49: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Depth Time Series and Average Hydraulic Residence Time for Passive Outlet

Technology Application: Modeled Wetland Pond/water Feature Retrofits

North Carolina Design ( collaboration with Bill Hunt)

Depth Time Series and Average Hydraulic Residence Time for Actively Controlled Outlet

Average Hydraulic Residence Time (hrs)

13 days

Average Hydraulic Residence Time (hrs)

24 days

Page 50: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Brooklyn Botanical Garden – Pond Control for CSO Mitigation

Page 51: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Technology Application: Controlled Underdrain Bioretention

Page 52: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Controlled underdrain design

Maximize Infiltration, minimize bypass, and achieve water quality targets

Case Study: Controlled Bioretention Underdrain

Bioretention site rendering

Page 53: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Technology Application: Active Porous Pavement

Page 54: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Actively Controlled Porous Pavement City of Omaha, NE

Page 55: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Control Plate with Actuated Slide Gate (Open)

Actuator

Slid

e G

ate

Control Box

Control plate height is variable and serves as overflow when closed

Trash Screen

Pressure Transducer

56

Page 56: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Control Plate with Actuated Slide Gate (Closed)

57

Page 57: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Technology Application: Active Green Roofs

Page 58: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Case Study: Active Green Roof, Pennsylvania

Active Irrigation Valve

Green Roof Project Site

Page 59: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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

Page 60: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Dashboard SAP Green Roof – 7/11/13

Page 61: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Dashboard SAP Green Roof – 7/12/13

Page 62: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Blue Roofs

Page 63: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

Potential for Active Blue Roof Systems Example NYC Blue Roof Pilots (Passive)

Application to blue roof designs.

Page 64: Highly Distributed Real-Time Control - CSHEMA Conference Presentation

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.