Control of COD Flow to a Waste Water Treatment Plant

Kirsten Mølgaard Nielsen, Tom Søndergaard Pedersen, Carsten Kallesøe, Palle Andersen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Flow variations of the inlet to a wastewater treatment plant (WWTP) are problematic due to the biological purification process. A way to reduce variations from industrial areas is to insert a buffer tank and control the outlet from this. Traditionally the only on-line measurement is the inlet flow to the wastewater treatment plant and reliable measurements in the system are difficult to establish. This lack of on-line measurements makes online control impossible, instead the aim of the project is to make a day-ahead plan for the buffer tank outlet. In this work two approaches are tested. First a model predictive controller (MPC) is designed to make a plan for keeping the Chemical Oxygen Demand (COD) flow to the WWTP constant assuming that the flows and concentrations can be predicted. Secondly the total mass flow to the WWTP is kept constant only using flow predictions in the optimisation. This leads to variations in the COD flow. The severeness of these variations is simulated and compared to the uncontrolled situation. It turns out that control of the total flow gives improvements in the COD flow variations compared to the existing sewer network without control.

Translated title of the contributionRegulering af COD flowet til renseanlæg
Original languageEnglish
Title of host publication Informatics in Control, Automation and Robotics 2020
EditorsOleg Gusikhin, Kurosh Madani, Janan Zaytoon
Number of pages22
PublisherSpringer
Publication date2022
Pages83-104
ISBN (Print)978-3-030-92441-6
ISBN (Electronic)978-3-030-92442-3
DOIs
Publication statusPublished - 2022
EventInformatics in Control, Automation and Robotics 2020 - Paris, France
Duration: 7 Jul 202010 Jul 2020

Conference

ConferenceInformatics in Control, Automation and Robotics 2020
Country/TerritoryFrance
CityParis
Period07/07/202010/07/2020
SeriesLecture Notes in Electrical Engineering
Volume793
ISSN1876-1100

Keywords

  • Model predictive control
  • Sewer COD-flow control
  • Sewer flow modelling

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