DSD-INT 2014 - OpenMI Symposium - An OpenMI composition with channel flow and real-time control...
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Transcript of DSD-INT 2014 - OpenMI Symposium - An OpenMI composition with channel flow and real-time control...
OpenMI An OpenMI composition
with channel flow and
real-time control
modelling for a Dutch
polder system
Niels de Hulster
Klaas-Jan van Heeringen
OpenMI An OpenMI composition
with channel flow and
real-time control
modelling for a Dutch
polder system
Imagine the result
Main contractors
c
Client
Subcontractor
Niels de Hulster
Klaas-Jan van Heeringen
| 31 oktober 2014 | © ARCADIS 2014 Dia 3
Agenda
• Problem, solution and results
• Contribution OpenMi
• Probabilistic modelling
• Joint Probabilities
• Conclusion and next steps
| 31 oktober 2014 | © ARCADIS 2014 Dia 4
The problem
• Waterboard Fryslân needs measures
against flooding due to climate change.
2050
Extreme rainfall intensity + 12%
Sea level rise 15-40 cm
| 31 oktober 2014 | © ARCADIS 2014 Dia 5
Solution
• Define preferred measures supported by
hydraulic/ hydrological modelling, OpenMI
and RTC.
| 31 oktober 2014 | © ARCADIS 2014 Dia 6
Results
• Chosen combination of measures against
flooding
• Joint stochastic variables
• Effects of climate change
• Deeper insides into functioning of water
system
• Insides in the RTC and forecasting
| 31 oktober 2014 | © ARCADIS 2014 Dia 7
Contribution OpenMI
• Connection between Sobek and RTC-Tools
• Stochastic modelling
• Joint probabilities study
• No license fees
• Transparent control
| 31 oktober 2014 | © ARCADIS 2014 Dia 9
• Different type of events (wind, rainfall
intensity, sea level)
• Statistical analyses
• Return periods
• Flood risk?
• But: the correlation between parameters not
included, therefore: study joint probabilities
Stochastic modelling
| 31 oktober 2014 | © ARCADIS 2014 Dia 10
Joint extremes
All rainfall events
highest10%
A
ll s
torm
surg
e e
vents
Joint probability : 1%
| 31 oktober 2014 | © ARCADIS 2014 Dia 11
Joint extremes
All rainfall events
Highest 10%
A
ll s
torm
surg
e e
vents
Joint probability: >1%
| 31 oktober 2014 | © ARCADIS 2014 Dia 12
Expanding possibilities
• Hydrology and hydrodynamics
• Real Time Control
• Real Time Predictive capabilities
Forecast
OpenMi
SOBEK RTC-Tools SOBEK Rain
| 31 oktober 2014 | © ARCADIS 2014 Dia 13
Expanding possibilities
• Hydrology and hydrodynamics
• Real Time Control
• Real Time Predictive capabilities
• Extremely large datasets (800 years)
Delft FEWS
Forecast
OpenMi
SOBEK RTC-Tools SOBEK Rain
| 31 oktober 2014 | © ARCADIS 2014 Dia 14
Technical
implementation
SOBEK Model Adapter
Delft FEWS
•Boundaries •Precipitation •Evaporation •Initial states
•Predictive run RR and Flow
•His2XML converts load to input for RTC Tools
OpenMI
SOBEK
RTC Tools
Get output results
1 2 3 4 5
800 x
| 31 oktober 2014 | © ARCADIS 2014 Dia 15
Results
-0.50
-0.45
-0.40
-0.35
-0.30
-0.25
-0.20
-0.15
-0.10
-0.05
0.00
0.05
0.10
0.15
0.20
1 10 100 1000
Wat
erh
oo
gte
(m
NA
P)
Herhalingstijd (jaren)
Extremen gemiddeld boezempeil onder verschillende methodes
Tijdreeksmethode
Stochastenmethode
Stoch. result
800 year time series result
| 31 oktober 2014 | © ARCADIS 2014 Dia 16
Conclusions
• Stochastic analysis and time series analysis
leads into deeper insight of flood risk
Next?
• Flood early warning system
• Operational system for RTC
• Optimization on power usage and CO2
reduction