Smart Power, Cost-Effective MPC of Stochastic Wastewater Treatment Process

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Abstract

Wastewater treatment aeration accounts for a large amount of societal electricity consumption. This abstract suggests MPC driven by stochastic differential equations and genetic optimization, under legal and equipment constraints to prioritize aeration in selected periods. Thereby we reduce costs and empower smart use of green electricity from e.g. wind turbines.
Original languageEnglish
Title of host publicationProceedings of 6th IFAC Conference on Nonlinear Model Predictive Control
Number of pages2
PublisherInternational Federation of Automatic Control
Publication date2018
Article numberMoAPo1.30
Publication statusPublished - 2018
Event6th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2018) - Madison, United States
Duration: 19 Aug 201822 Aug 2018

Conference

Conference6th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2018)
CountryUnited States
CityMadison
Period19/08/201822/08/2018

Keywords

  • Stochastic Systems
  • Genetic Algorithms
  • Process Control
  • Predictive Control
  • Water Pollution
  • Smart Power Applications

Cite this

Stentoft, P. A., Munk-Nielsen, T., Mikkelsen, P. S., Madsen, H., Vezzaro, L., & Møller, J. K. (2018). Smart Power, Cost-Effective MPC of Stochastic Wastewater Treatment Process. In Proceedings of 6th IFAC Conference on Nonlinear Model Predictive Control [MoAPo1.30] International Federation of Automatic Control.
Stentoft, Peter Alexander ; Munk-Nielsen, Thomas ; Mikkelsen, Peter Steen ; Madsen, Henrik ; Vezzaro, Luca ; Møller, Jan Kloppenborg. / Smart Power, Cost-Effective MPC of Stochastic Wastewater Treatment Process. Proceedings of 6th IFAC Conference on Nonlinear Model Predictive Control. International Federation of Automatic Control, 2018.
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abstract = "Wastewater treatment aeration accounts for a large amount of societal electricity consumption. This abstract suggests MPC driven by stochastic differential equations and genetic optimization, under legal and equipment constraints to prioritize aeration in selected periods. Thereby we reduce costs and empower smart use of green electricity from e.g. wind turbines.",
keywords = "Stochastic Systems, Genetic Algorithms, Process Control, Predictive Control, Water Pollution, Smart Power Applications",
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Stentoft, PA, Munk-Nielsen, T, Mikkelsen, PS, Madsen, H, Vezzaro, L & Møller, JK 2018, Smart Power, Cost-Effective MPC of Stochastic Wastewater Treatment Process. in Proceedings of 6th IFAC Conference on Nonlinear Model Predictive Control., MoAPo1.30, International Federation of Automatic Control, 6th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2018), Madison, United States, 19/08/2018.

Smart Power, Cost-Effective MPC of Stochastic Wastewater Treatment Process. / Stentoft, Peter Alexander; Munk-Nielsen, Thomas; Mikkelsen, Peter Steen; Madsen, Henrik; Vezzaro, Luca; Møller, Jan Kloppenborg.

Proceedings of 6th IFAC Conference on Nonlinear Model Predictive Control. International Federation of Automatic Control, 2018. MoAPo1.30.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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T1 - Smart Power, Cost-Effective MPC of Stochastic Wastewater Treatment Process

AU - Stentoft, Peter Alexander

AU - Munk-Nielsen, Thomas

AU - Mikkelsen, Peter Steen

AU - Madsen, Henrik

AU - Vezzaro, Luca

AU - Møller, Jan Kloppenborg

PY - 2018

Y1 - 2018

N2 - Wastewater treatment aeration accounts for a large amount of societal electricity consumption. This abstract suggests MPC driven by stochastic differential equations and genetic optimization, under legal and equipment constraints to prioritize aeration in selected periods. Thereby we reduce costs and empower smart use of green electricity from e.g. wind turbines.

AB - Wastewater treatment aeration accounts for a large amount of societal electricity consumption. This abstract suggests MPC driven by stochastic differential equations and genetic optimization, under legal and equipment constraints to prioritize aeration in selected periods. Thereby we reduce costs and empower smart use of green electricity from e.g. wind turbines.

KW - Stochastic Systems

KW - Genetic Algorithms

KW - Process Control

KW - Predictive Control

KW - Water Pollution

KW - Smart Power Applications

M3 - Article in proceedings

BT - Proceedings of 6th IFAC Conference on Nonlinear Model Predictive Control

PB - International Federation of Automatic Control

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Stentoft PA, Munk-Nielsen T, Mikkelsen PS, Madsen H, Vezzaro L, Møller JK. Smart Power, Cost-Effective MPC of Stochastic Wastewater Treatment Process. In Proceedings of 6th IFAC Conference on Nonlinear Model Predictive Control. International Federation of Automatic Control. 2018. MoAPo1.30