Towards Smart Water Cities › EGU2020 › EGU... · Han (2017). "Urban rainwater harvesting...
Transcript of Towards Smart Water Cities › EGU2020 › EGU... · Han (2017). "Urban rainwater harvesting...
Towards Smart Water Cities –opportunities arising from Smart Rain
Barrels for urban drainage and water supply
Martin Oberascher, Carolina Kinzel, Martin Schöpf, Ulrich Kastlunger, Christoph Zingerle,
Samuel Puschacher, Manfred Kleidorfer, Wolfgang Rauch, Robert Sitzenfrei
Rain barrels
• Temporary storage volume
• Detention of rain water1
• Usage of rain water for “non-drinking water” applications1
Motivation
slide 2EGU 2020 I Martin Oberascher | 04.05.2020
1Campisano, A., D. Butler, S. Ward, M. J. Burns, E. Friedler, K. DeBusk, L. N. Fisher-Jeffes, E. Ghisi, A. Rahman, H. Furumai and M. Han (2017). "Urban rainwater harvesting systems: Research, implementation and future perspectives."
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
Rain barrels
• Temporary storage volume
• Detention of rain water1
• Usage of rain water for “non-drinking water” applications1
Information- and communication technology (ICT)
• Low-cost sensors
• Monitoring and controlling of the urban water infrastructure2
Motivation
slide 3EGU 2020 I Martin Oberascher | 04.05.2020
1Campisano, A., D. Butler, S. Ward, M. J. Burns, E. Friedler, K. DeBusk, L. N. Fisher-Jeffes, E. Ghisi, A. Rahman, H. Furumai and M. Han (2017). "Urban rainwater harvesting systems: Research, implementation and future perspectives."2Kerkez, B., Gruden, C., Lewis, M., Montestruque, L., Quigley, M., Wong, B., Bedig, A., Kertesz, R., Braun, T., Cadwalader, O., Poresky, A., and Pak, C. (2016). "Smarter Stormwater Systems." Environ. Sci. Technol., 50(14), 7267-7273.
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
Rain barrels
• Temporary storage volume
• Detention of rain water1
• Usage of rain water for “non-drinking water” applications1
Information- and communication technology (ICT)
• Low-cost sensors
• Monitoring and controlling of the urban water infrastructure2
The smart rain barrel (SRB) concept
• Real-time monitored and controlled3
Motivation
slide 4EGU 2020 I Martin Oberascher | 04.05.2020
1Campisano, A., D. Butler, S. Ward, M. J. Burns, E. Friedler, K. DeBusk, L. N. Fisher-Jeffes, E. Ghisi, A. Rahman, H. Furumai and M. Han (2017). "Urban rainwater harvesting systems: Research, implementation and future perspectives."2Kerkez, B., Gruden, C., Lewis, M., Montestruque, L., Quigley, M., Wong, B., Bedig, A., Kertesz, R., Braun, T., Cadwalader, O., Poresky, A., and Pak, C. (2016). "Smarter Stormwater Systems." Environ. Sci. Technol., 50(14), 7267-7273.3Oberascher, M., Zischg, J., Palermo, S. A., Kinzel, C., Rauch, W., and Sitzenfrei, R. "Smart Rain Barrels: Advanced LID Management Through Measurement and Control." Springer International Publishing, 777-782
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
IoT solution for advanced rainwater harvesting
• Volume: 210 l
Smart rain barrel (SRB)
slide 5EGU 2020 I Martin Oberascher | 04.05.2020
Introduction Smart rain barrel Conclusion
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Prototype SRB Numerical Simulations
Control strategy for stormwater detention
• Estimation inflow smart rain barrel
Management concept6
slide 6EGU 2020 I Martin Oberascher | 04.05.2020
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Introduction Smart rain barrel Conclusion
6Oberascher, M., Zischg, J., Kastlunger, U., Schöpf, M., Kinzel, C., Zingerle, C., Rauch, W., Sitzenfrei, R., 2019. Advanced Rainwater Harvesting through Smart Rain Barrels. In: World Environmental and Water Resources Congress 2019 : Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management
Prototype SRB Numerical Simulations
Control strategy for stormwater detention
• Estimation inflow smart rain barrel
• Open / close discharge valve
Management concept6
slide 7EGU 2020 I Martin Oberascher | 04.05.2020
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Introduction Smart rain barrel Conclusion
6Oberascher, M., Zischg, J., Kastlunger, U., Schöpf, M., Kinzel, C., Zingerle, C., Rauch, W., Sitzenfrei, R., 2019. Advanced Rainwater Harvesting through Smart Rain Barrels. In: World Environmental and Water Resources Congress 2019 : Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management
Prototype SRB Numerical Simulations
Control strategy irrigation
• Calculation irrigation demand
• Withdrawal smart rain barrel
Management concept6
slide 8EGU 2020 I Martin Oberascher | 04.05.2020
Introduction Smart rain barrel Conclusion
6Oberascher, M., Zischg, J., Kastlunger, U., Schöpf, M., Kinzel, C., Zingerle, C., Rauch, W., Sitzenfrei, R., 2019. Advanced Rainwater Harvesting through Smart Rain Barrels. In: World Environmental and Water Resources Congress 2019 : Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management
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Prototype SRB Numerical Simulations
Singly-family house
• Roof area 165 m², discharge coefficient 0.9
• Perfect weather forecast, forecast period of 1 h, update every 30 min
• Rain barrel volume 0.5 m³
Exemplary functionality
slide 9EGU 2020 I Martin Oberascher | 04.05.2020
Introduction Conclusion
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Prototype SRB Numerical SimulationsSmart rain barrel
Singly-family house
• Roof area 165 m², discharge coefficient 0.9
• Perfect weather forecast, forecast period of 1 h, update every 30 min
• Rain barrel volume 0.5 m³
Exemplary functionality
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Introduction Smart rain barrel Conclusion
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Prototype SRB Numerical Simulations
Singly-family house
• Roof area 165 m², discharge coefficient 0.9
• Perfect weather forecast, forecast period of 1 h, update every 30 min
• Rain barrel volume 0.5 m³
Exemplary functionality
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Introduction Smart rain barrel Conclusion
inflow SRB
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Prototype SRB Numerical Simulations
Singly-family house
• Roof area 165 m², discharge coefficient 0.9
• Perfect weather forecast, forecast period of 1 h, update every 30 min
• Rain barrel volume 0.5 m³
Exemplary functionality
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Introduction Smart rain barrel Conclusion
inflow SRB
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outflow SRB
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Delay peak outflow
Prototype SRB Numerical Simulations
Austrian design guideline: RB19 (2007)
• 15 m³ per 10.000 m² reduced connection area for combined sewer overflows4
• 150 m² reduced roof area per single-family house5
➢ 66 single-family houses per 10.000 m²
• Each equipped with a SRB (250 l)
Idea: alternative to combined sewer overflows
slide 13EGU 2020 I Martin Oberascher | 04.05.2020
4RB 19, 2007. Guidelines for the design of combined sewer overflows. Only available in German: Richtlinien für die Bemessung von Mischwasserentlastungen. ÖWAV. Wien, Österreich.5Statistik Austria (2018): Completed apartments and buildings 2005 to 2017. https://www.statistik.at/web_de/statistiken/menschen_und_gesellschaft/wohnen/wohnungs_und_gebaeudeerrichtung/fertigstellungen/index. html. Retrieved on 01.03 2018.
Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
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Austrian design guideline: RB19 (2007)
• 15 m³ per 10.000 m² reduced connection area for combined sewer overflows4
• 150 m² reduced roof area per single-family house5
➢ 66 single-family houses per 10.000 m²
• Each equipped with a SRB (250 l)
➢ 16,5 m³ additional detention volume
➢ Cost-effective alternative
➢ Ca. 10 % precipitation amount of 15 min of rain with 2-yearly return
Idea: alternative to combined sewer overflows
slide 14EGU 2020 I Martin Oberascher | 04.05.2020
Introduction Smart rain barrel Conclusion
4RB 19, 2007. Guidelines for the design of combined sewer overflows. Only available in German: Richtlinien für die Bemessung von Mischwasserentlastungen. ÖWAV. Wien, Österreich.5Statistik Austria (2018): Completed apartments and buildings 2005 to 2017. https://www.statistik.at/web_de/statistiken/menschen_und_gesellschaft/wohnen/wohnungs_und_gebaeudeerrichtung/fertigstellungen/index. html. Retrieved on 01.03 2018.
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Prototype SRB Numerical Simulations
➢ Development of a SRB prototype
• Real-word operation at the “Smart Campus”
• Testing functionality
➢ Numerical simulations
• Evaluating the effects at household scale
• Development of different control strategies
• Investigation of large-scale implementation
• For ease of development
• To demonstrate the effectiveness
Prove of concept - two-stage approach
slide 15EGU 2020 I Martin Oberascher | 04.05.2020
Introduction Smart rain barrel Conclusion
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Prototype SRB Numerical Simulations
Implementation at „Smart Campus“ Technik, University of Innsbruck
• Pilot project for „Smart Water Cities“
• Integration of water supply and urban drainage into a joint controlled system
• Used as demonstration object and experimental framework for smart applications
Real-time monitoring
• Distribution system: water consumptions and pressures
• Drainage system: filling levels in the drainage system as well as levels and soil moistures of decentralized stormwater retention and infiltration systems
• Meteorological data at different locations
• Temporal resolution: 1 – 15 min
Prototype SRB
slide 16EGU 2020 I Martin Oberascher | 04.05.2020
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Implementation „Smart Campus“ Technik, University of Innsbruck
• Current Measurement and Control Network
• Online measurement data: https://umwelttechnik-swc.uibk.ac.at/ui/sensors/
Prototype SRB
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
„Smart Camus = ideal testing ground for the SRB concept
• Real-word implementation
• Online: https://umwelttechnik-swc.uibk.ac.at/ui/sensor/128/
• Volume: 210 l
Prototype SRB
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Introduction Smart rain barrel Conclusion
© Oberascher, 2020
Prototype SRB Numerical Simulations
Single-family house with irrigation demand
Impacts SRB:
• Stormwater detention
• Substituting drinking water with rain water
Evaluating SRB volume:
• Storage volume: 0.1 – 1m³
Testing different control strategies based on historical weather data
• precipitation (1 min)
• INCA – weather forecasts (15 min – time period 24 h)
• Forecast period 1 h, 4 h und 12 h
• perfect – real weather forecast
Numerical simulations – Household level
slide 19EGU 2020 I Martin Oberascher | 04.05.2020
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
• Roof area 165 m², discharge coefficient 0.9
• Rain barrel volume 0.5 m³, uncontrolled
Results single-family house
slide 20EGU 2020 I Martin Oberascher | 04.05.2020
substituted drinking water rain water detention
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
• Roof area 165 m², discharge coefficient 0.9
• uncontrolled
Results single-family house
slide 21EGU 2020 I Martin Oberascher | 04.05.2020
substituted drinking water rain water detention
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
• Roof area 165 m², discharge coefficient 0.9
• SRB: 1 h forecast period, perfect weather forecast
Results single-family house
slide 22EGU 2020 I Martin Oberascher | 04.05.2020
substituted drinking water rain water detention
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
• Roof area 165 m², discharge coefficient 0.9
• SRB: different weather forecasts
➢ Increasing detention volume through usage weather forecasts
➢ Substituted drinking water – reference uncontrolled rain barrel
Results single-family house
slide 23EGU 2020 I Martin Oberascher | 04.05.2020
substituted drinking water rain water detention
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
Alpine municipality
• 2900 inhabitants (2019)
• Sea level 610 m ü. A.
• Austria
• 628 buildings
• 15,2 ha connected area
• Combined sewer system
Impacts:
• Rain barrel (substituted drinking water, stormwater detention, switching operations)
• Sewer (combined sewer overflow, flooding)
• Drinking water supply (water pressure, age)
Numerical simulations – Large scale implementation
slide 24EGU 2020 I Martin Oberascher | 04.05.2020
green areahousestreet
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
SWMM - Model
• Green area, traffic area, house area
PySWMM7
• Python Wrapper for SWMM5
• Step-for-step simulation
• RTC micro storages
Coupled hydraulic simulation
slide 25EGU 2020 I Martin Oberascher | 04.05.2020
7https://github.com/jennwuu/pyswmm
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SWMM - Model
• Green area, traffic area, house area
PySWMM7
• Python Wrapper for SWMM5
• Step-for-step simulation
• RTC micro storages
EPANET - Model
• Connection per house
Python EPANET – Toolkit8
• Long-term simulation
Coupled hydraulic simulation
slide 26EGU 2020 I Martin Oberascher | 04.05.2020
7https://github.com/jennwuu/pyswmm8https://github.com/OpenWaterAnalytics/epanet-python
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Smartin-Toolbox9,10
• Simulating RTC micro storages in urban water infrastructure
Testing different control strategies based on historicalweather data
• precipitation (1 min)
• INCA – weather forecasts (15 min – time period 24 h)
• Forecast period 1 h, 3 h und 12 h
• perfect – real weather forecast
Rain barrels
• Implementation in residential area, mixed areaand agricultural use
Simulationen9
slide 27EGU 2020 I Martin Oberascher | 04.05.2020
streetopen landcentreagricultural usemixed areacommercial arearesidential areaother
9Oberascher M., Kinzel C., Kastlunger U., Kleidorfer M., Zingerle, C., Rauch, W., Sitzenfrei, R (2020). Integrated urban water management with micro storages developed as an IoT-based solution –the smart rain barrel. Manusript submitted for publication.10https://github.com/iut-ibk/Smartin-Toolbox
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
First results case study
slide 28EGU 2020 I Martin Oberascher | 04.05.2020
• 100 smart rain barrels (additional storage volume 45m³)
• Perfect weather forecast, different forecast periods
• 25 simulations
substitution drinking water flood volume
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
• 100 smart rain barrels (additional storage volume 45m³)
• Perfect weather forecast, different forecast periods
• 25 simulations
slide 29EGU 2020 I Martin Oberascher | 04.05.2020
[m]
First results case study
[h]
change water pressure 02.07.2015 23:00:00through filling the SRBs
change water age 02.07.2015 23:00:00
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Introduction Smart rain barrel ConclusionPrototype SRB Numerical Simulations
• Weather forecast: increasing detention capacity, errors affecting substitution of drinking water
• High-number of smart rain barrels -> integrative managementin the context of "Smart Water Cities” required
• Future work: instead of perfect control -> consideration of LoRaWAN characteristics (e.g. duty-cycle, packet losses)
Conclusion
slide 30EGU 2020 I Martin Oberascher | 04.05.2020
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Visit:
• https://umwelttechnik-swc.uibk.ac.at/
• https://www.uibk.ac.at/umwelttechnik/research/projects/smartwatercity.html.en
Contact:
Further information
slide 31EGU 2020 I Martin Oberascher | 04.05.2020
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Thank you very much for your attention!
FUNDING
This publication was produced as part of the "Smart Water City" project. This project is funded by the Climate and Energy Fund and is part of the programme "Smart Cities Demo - Living Urban Innovation 2018" (project 872123).