Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 6th IFAC Conference on Nonlinear Model Predictive Control |
| Number of pages | 2 |
| Publisher | International Federation of Automatic Control |
| Publication date | 2018 |
| Article number | MoAPo1.30 |
| Publication status | Published - 2018 |
| Event | 6th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2018) - Madison, United States Duration: 19 Aug 2018 → 22 Aug 2018 |
Conference
| Conference | 6th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2018) |
|---|---|
| Country | United States |
| City | Madison |
| Period | 19/08/2018 → 22/08/2018 |
Keywords
- Stochastic Systems
- Genetic Algorithms
- Process Control
- Predictive Control
- Water Pollution
- Smart Power Applications
Cite this
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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 proceeding › Article in proceedings › Research › peer-review
TY - GEN
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
ER -