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Styring af vand under kraftig nedbør Morten Rungø – [email protected] 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 • • • • • • • Workshops med vandselskaber Use cases Mockups Design Implementering Aftestning Udrulning © DHI Tak for opmærksomheden © DHI
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