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Water 2018, 10(1), 76; https://doi.org/10.3390/w10010076

Coordinating Rule-Based and System-Wide Model Predictive Control Strategies to Reduce Storage Expansion of Combined Urban Drainage Systems: The Case Study of Lundtofte, Denmark

1
Department of Environmental Engineering (DTU Environment), Technical University of Denmark, 2800 Kongens Lyngby, Denmark
2
Kruger A/S, Veolia Water Technologies, 2860 Søborg, Denmark
Current Address: Water Zerv, Environmental Services, 2700 Brønshøj, Denmark.
*
Author to whom correspondence should be addressed.
Received: 20 October 2017 / Revised: 20 November 2017 / Accepted: 21 December 2017 / Published: 16 January 2018
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Abstract

The environmental benefits of combining traditional infrastructure solutions for urban drainage (increasing storage volume) with real time control (RTC) strategies were investigated in the Lundofte catchment in Denmark, where an expensive traditional infrastructure expansion is planned to comply with environmental requirements. A coordinating, rule-based RTC strategy and a global, system-wide risk-based dynamic optimization strategy (model predictive control), were compared using a detailed hydrodynamic model. RTC allowed a reduction of the planned storage volume by 21% while improving the system performance in terms of combined sewer overflow (CSO) volumes, environmental impacts, and utility costs, which were reduced by up to 10%. The risk-based optimization strategy provided slightly better performance in terms of reducing CSO volumes, with evident improvements in environmental impacts and utility costs, due to its ability to prioritize among the environmental sensitivity of different recipients. A method for extrapolating annual statistics from a limited number of events over a time interval was developed and applied to estimate yearly performance, based on the simulation of 46 events over a five-year period. This study illustrates that including RTC during the planning stages reduces the infrastructural costs while offering better environmental protection, and that dynamic risk-based optimisation allows prioritising environmental impact reduction for particularly sensitive locations. View Full-Text
Keywords: combined sewer overflow (CSO); coordinating real time control (RTC); Dynamic Overflow Risk Assessment (DORA); environmental impact reduction; sensitivity of receiving waters combined sewer overflow (CSO); coordinating real time control (RTC); Dynamic Overflow Risk Assessment (DORA); environmental impact reduction; sensitivity of receiving waters
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Meneses, E.J.; Gaussens, M.; Jakobsen, C.; Mikkelsen, P.S.; Grum, M.; Vezzaro, L. Coordinating Rule-Based and System-Wide Model Predictive Control Strategies to Reduce Storage Expansion of Combined Urban Drainage Systems: The Case Study of Lundtofte, Denmark. Water 2018, 10, 76.

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