D roman lid 2015
23
Research by: David Roman, PE, CPESC Funding By: WERF (INFR1R11) Presented at: Marcus Quigley, PE, CPESC Roofmeadow, Inc. Advances in Green Roof Performance through Real-Time Control and Forecasting 1/19/2015 Photo courtesy roofmeadow.com
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Transcript of D roman lid 2015
Research by:
David Roman, PE, CPESC
Funding By:
WERF (INFR1R11)
Presented at:
Marcus Quigley, PE, CPESC
Roofmeadow, Inc.
Advances inGreen Roof Performance through Real-Time Control and Forecasting
1/19/2015
Photo courtesy roofmeadow.com
Outline
• Pilot Site / Operation• OptiRTCBackground
• System Scenarios• ScreenshotsVisualizations
• PerformanceData Analysis
• Next Steps• ApplicationsConclusions
Pilot Green Roof Site
Photos courtesy fxfowle.com
SAP Americas Headquarters Newtown Square, PA LEED Platinum
Certification Green Roof 48,000 sq. ft. 3,000 sq. ft. of turf
requires irrigation
Turf Irrigation Area
Perforated Irrigation
Distribution Pipe
Access Chamber(Irrigation
Distribution Point)
Irrigation Water Supply
Problem Identification
Mechanical float level control mechanism unreliable
Primary Goals: Maintain precise water level for
turf irrigation Halt irrigation prior to forecast
wet weather System Benefits:
Minimize Runoff
Conserve Water
Minimal Maintenance
Remote Monitoring & Programming
Solution: Real-time Monitoring and Control!
Junction Box
Water Meter
Ultrasonic Water Level Sensor
Solenoid Coil / Valve
Liquid Level Switch
Operation Visualization
Level Sensors,Valve, Water Meter
How Does the System Function? OptiRTC is a cloud-native platform that uses sensor data,
forecast information, & modeling to actively control and/or maintain/monitor water infrastructure.
Dashboard Example: Typical Dry Conditions
Dashboard Example: Typical Saturated Conditions
Dashboard Example: Forecast Logic Example
Dashboard Example: Forecast Logic Example Cont…
Exploratory Data Analysis: Single Event Date: 9/18/2012; Depth: 1.54 inches
Plot below shows modeled (uncontrolled) versus actual (controlled) scenario
Passive overflow point
Pre-storm drawdown (water conservation
and additional storage)
Minimal overflow
Exploratory Data Analysis: 6 month analysis May – October 2013 Modeled (uncontrolled) vs. Actual (controlled)
Uncontrolled Controlled
Total Water Usage (Gallons): 24,209 23,342
Total Runoff Produced (Gallons): 15,267 11,456
Exploratory Data Analysis: 6 month analysis May – October 2013 Modeled (uncontrolled) vs. Actual (controlled)
Uncontrolled Controlled
Total Water Usage (Gallons): 24,209 23,342
Total Runoff Produced (Gallons): 15,267 11,456
4% Water Savings
Exploratory Data Analysis: 6 month analysis May – October 2013 Modeled (uncontrolled) vs. Actual (controlled)
Uncontrolled Controlled
Total Water Usage (Gallons): 24,209 23,342
Total Runoff Produced (Gallons): 15,267 11,456
25% Runoff Reduction
4% Water Savings
Conclusions and Next Steps
Advantages:
Runoff Reduction
Water Usage Reduction
Minimal Maintenance
Remote Monitoring & Programming
Conclusions and Next Steps
Advantages:
Performance Limitations:
Runoff Reduction
Water Usage Reduction
Minimal Maintenance
Remote Monitoring & Programming
Slow Drawdown
Rate
Limited Storage Capacity
Conclusions and Next Steps
Advantages:
Performance Limitations:
Next Steps / Improvements:
Runoff Reduction
Water Usage Reduction
Minimal Maintenance
Remote Monitoring & Programming
Slow Drawdown
Rate
Limited Storage Capacity
Soil Moisture Monitoring
Controlled Outlet Valve
Deeper Storage Layer
Many Other Applications!
Advanced Rainwater Harvesting & “Smart Detention” Systems Minimize wet-weather discharge Minimize required tank size
EPA Headquarters DDOE Fire Station
Denver Green School Conowingo Elementary School
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Many Other Applications!
Pond Outlet Control & CSO Flow Mitigation
Brooklyn Botanical Gardens St. Joseph, MO
Curtiss Pond, MN
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Thank you for your time!
Contact:
David Roman, PE, CPESC Marcus Quigley, PE, CPESC ([email protected]) ([email protected])
Special Thanks to:
WERF Charlie Miller, PE SAP Americas([email protected])
