DHI Blank PowerPoint Presentation UK

Transcription

DHI Blank PowerPoint Presentation UK
Styring af vand under kraftig nedbør
Morten Rungø – mor@dhigroup.com
Waste/Storm Water Control
© DHI
Samstyring Aarhus - Project drivers
©Politiken
©Aarhus.dk
…Integrating
water into the
urban space
…Rapid city
development
2014.05.13
…New housing
area on the
harbor front
… Recreational
use of water
Expected project outcome
© Aarhus Water
© Aarhus Water
© Aarhus Water
…Bathing water in Lake
Brabrand (hygienic)
…Improved water
quality/partly bathing water
in River Aarhus
… Bathing water in the
Harbour (hygienic)
2014.05.13
Overall challenge – Recreational water is receiving water
3 wastewater treatment plants
75 combined sewer overflows (CSO)
58 storm water drains
50% of the flow in the river is from WWTPs
© DHI
2014.05.13
Solution - 50 mill. EUR project 2009-2013
• Infrastructure investment
− 9 retention basins
− Disinfection at WWTPs and basin
− Increased hydraulic capacity at
WWTPs
• Optimized control System
− Integrated real time
modelling/control (sewer
system/WWTP)
− Early Warning System
2014.05.13
Automated Integrated Modelling and Control
MIKE URBAN <-> WWTP
MIKE 11
MIKE SHE
MIKE 3
Distributed
rainfall
from radar
Saving in Capex
Aarhus, Denmark
• Ordinary and larger retention basins
79 million EUR
• Controllable and smaller retention basins
• Control and warning system
• Total
45 million EUR
2 million EUR
47 million EUR
• Saving
32 million EUR
40 %
http://www.youtube.com/watch?v=pHqm8v55R9k
© DHI
Perspektiver ved klimaforandringer
© DHI
Aarhus Vand
IDA Miljø
28/10-2015:
© DHI
Åboulevarden, København
Vej
Vand
Vand
Vej
© DHI
Realtidsstyring - Vejle
Vandløb
Styrbart stigbord
Skybrud
Højvandssluse
Vandløb
Stormflod
KlimaSpring projekt – Smart realtidsstyring af vandsystemer
• Partnere: DHI, DTU, Aarhus Vand, Vandselskab 2
• Udvikling af softwareprodukt til styring af afløb og oversvømmelser
• Primære arbejdspakker
− Udvikling af modellering og optimeringsteknikker
− Udvikling af brugergrænseflade
© DHI
MPC Framework implemented in MIKE CUSTOMISED
Physical system
System model – MIKE URBAN
Surrogate model (problem model)
Non-linear
Heuristic
optimisers,
e.g. GA, SCE
Classical
optimisers,
e.g. LP, QP
Control problem
© DHI
Linear
Model-baseret styring
Brug af dynamisk model af systemet
til optimering af styring
1. Styringsvariable optimeres over
given tidshorisont ved brug af
modellen
2. Den optimale styring
implementeres i den første del af
perioden
3. Ny optimering foretages ved brug
af nye målinger og nye
prognoser
© DHI
MPC Framework – Combination of system model and surrogate
model
MPC with surrogate model
Implementation of
optimal control
System model
simulation with optimal
control
Update system model
and surrogate model
ToF 1
© DHI
MPC with surrogate model
ToF 2
#16
Tekniske udfordringer – modeller
• Balance mellem nøjagtighed og hurtighed
• Vedligeholdelse af to modeller –system og surrogat model
© DHI
13 November, 2015
#17
Arbejdspakke: Udvikling af brugergrænseflade
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Workshops med vandselskaber
Use cases
Mockups
Design
Implementering
Aftestning
Udrulning
© DHI
Tak for opmærksomheden
© DHI