Smart Power, Cost-Effective MPC of Stochastic Wastewater Treatment Process
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.
Info
Conference Paper, 2018
UN SDG Classification
DK Main Research Area
Science/Technology
