Stochastic Model Predictive Control of Phosphorus Concentration for Smart Power, Cost-Effective Municipal Wastewater Treatment

Mikkel Lindstrøm Sørensen; Peter Dahl; Peter Alexander Stentoft; Jan Kloppenborg Møller; Thomas Munk-Nielsen

Stochastic Model Predictive Control of Phosphorus Concentration for Smart Power, Cost-Effective Municipal Wastewater Treatment

Mikkel Lindstrøm Sørensen, Peter Dahl, Peter Alexander Stentoft, Jan Kloppenborg Møller, Thomas Munk-Nielsen

Research output: Contribution to conference › Paper › Research › peer-review

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Abstract

This study is a proof-of-concept of a stochastic Model Predictive Control (MPC) strategy for effluent phosphorus concentration in municipal wastewater treatment. Firstly, a simple data-driven model providing adequate predictions of phosphorus was created and demonstrated. Secondly, the model was used to find the optimal aeration control upholding legal requirements within a fixed amount of computation time. The optimal control is here considered the cheapest control in terms of
electricity costs with variable electricity prices and effluent taxes on phosphorus. Results showed significant reductions (~ 45 %) in operational costs compared with a rule-based control.

Original language	English
Publication date	2019
Number of pages	8
Publication status	Published - 2019
Event	10th IWA Symposium on Modelling and Integrated Assessment - IDA Conference Centre , Copenhagen, Denmark Duration: 1 Sept 2019 → 4 Sept 2019 Conference number: 10 http://www.conferencemanager.dk/watermatex2019/

Conference

Conference	10th IWA Symposium on Modelling and Integrated Assessment
Number	10
Location	IDA Conference Centre
Country/Territory	Denmark
City	Copenhagen
Period	01/09/2019 → 04/09/2019
Internet address	http://www.conferencemanager.dk/watermatex2019/

Keywords

Stochastic MPC
Aeration control
Wastewater treatment
Activated Sludge Process

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title = "Stochastic Model Predictive Control of Phosphorus Concentration for Smart Power, Cost-Effective Municipal Wastewater Treatment",

abstract = "This study is a proof-of-concept of a stochastic Model Predictive Control (MPC) strategy for effluent phosphorus concentration in municipal wastewater treatment. Firstly, a simple data-driven model providing adequate predictions of phosphorus was created and demonstrated. Secondly, the model was used to find the optimal aeration control upholding legal requirements within a fixed amount of computation time. The optimal control is here considered the cheapest control in terms ofelectricity costs with variable electricity prices and effluent taxes on phosphorus. Results showed significant reductions (~ 45 %) in operational costs compared with a rule-based control.",

keywords = "Stochastic MPC, Aeration control, Wastewater treatment, Activated Sludge Process",

author = "{Lindstr{\o}m S{\o}rensen}, Mikkel and Peter Dahl and Stentoft, {Peter Alexander} and M{\o}ller, {Jan Kloppenborg} and Thomas Munk-Nielsen",

year = "2019",

language = "English",

note = "10th IWA Symposium on Modelling and Integrated Assessment, Watermatex 2019 ; Conference date: 01-09-2019 Through 04-09-2019",

url = "http://www.conferencemanager.dk/watermatex2019/",

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Stochastic Model Predictive Control of Phosphorus Concentration for Smart Power, Cost-Effective Municipal Wastewater Treatment. / Lindstrøm Sørensen, Mikkel; Dahl, Peter; Stentoft, Peter Alexander et al.
2019. Paper presented at 10th IWA Symposium on Modelling and Integrated Assessment, Copenhagen, Denmark.

Research output: Contribution to conference › Paper › Research › peer-review

TY - CONF

T1 - Stochastic Model Predictive Control of Phosphorus Concentration for Smart Power, Cost-Effective Municipal Wastewater Treatment

AU - Lindstrøm Sørensen, Mikkel

AU - Dahl, Peter

AU - Stentoft, Peter Alexander

AU - Møller, Jan Kloppenborg

AU - Munk-Nielsen, Thomas

N1 - Conference code: 10

PY - 2019

Y1 - 2019

N2 - This study is a proof-of-concept of a stochastic Model Predictive Control (MPC) strategy for effluent phosphorus concentration in municipal wastewater treatment. Firstly, a simple data-driven model providing adequate predictions of phosphorus was created and demonstrated. Secondly, the model was used to find the optimal aeration control upholding legal requirements within a fixed amount of computation time. The optimal control is here considered the cheapest control in terms ofelectricity costs with variable electricity prices and effluent taxes on phosphorus. Results showed significant reductions (~ 45 %) in operational costs compared with a rule-based control.

AB - This study is a proof-of-concept of a stochastic Model Predictive Control (MPC) strategy for effluent phosphorus concentration in municipal wastewater treatment. Firstly, a simple data-driven model providing adequate predictions of phosphorus was created and demonstrated. Secondly, the model was used to find the optimal aeration control upholding legal requirements within a fixed amount of computation time. The optimal control is here considered the cheapest control in terms ofelectricity costs with variable electricity prices and effluent taxes on phosphorus. Results showed significant reductions (~ 45 %) in operational costs compared with a rule-based control.

KW - Stochastic MPC

KW - Aeration control

KW - Wastewater treatment

KW - Activated Sludge Process

M3 - Paper

T2 - 10th IWA Symposium on Modelling and Integrated Assessment

Y2 - 1 September 2019 through 4 September 2019

ER -

Stochastic Model Predictive Control of Phosphorus Concentration for Smart Power, Cost-Effective Municipal Wastewater Treatment

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