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Model Predictive Control of Sewer Networks

  • Einar B. Pedersen
  • , Hannes R. Herbertsson
  • , Henrik Niemann
  • , Niels Kjølstad Poulsen
  • , Anne K.V. Falk
  • Technical University of Denmark
  • DHI Water - Environment - Health

Research output: Contribution to journal › Conference article › Research › peer-review

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Abstract

The developments in solutions for management of urban drainage are of vital importance, as the amount of sewer water from urban areas continues to increase due to the increase of the world’s population and the change in the climate conditions. How a sewer network is structured, monitored and controlled have thus become essential factors for efficient performance of waste water treatment plants. This paper examines methods for simplified modelling and controlling a sewer network. A practical approach to the problem is used by analysing simplified design model, which is based on the Barcelona benchmark model. Due to the inherent constraints the applied approach is based on Model Predictive Control.
Original languageEnglish
Article number012026
Book seriesJournal of Physics: Conference Series (Online)
Volume783
Number of pages12
ISSN1742-6596
DOIs
Publication statusPublished - 2016
Event13th European Workshop on Advanced Control and Diagnosis - Graduate School of Engineering "Hautes Etudes d'Ingenieur", Lille, France
Duration: 17 Nov 2016 → 18 Nov 2016
Conference number: 13
http://acd2016.eu/

Workshop

Workshop13th European Workshop on Advanced Control and Diagnosis
Number13
LocationGraduate School of Engineering "Hautes Etudes d'Ingenieur"
Country/TerritoryFrance
CityLille
Period17/11/2016 → 18/11/2016
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

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