Consequently this is considered a first step towards stochastic MPC of the aeration process. Ultimately this can reduce electricity demand and cost for water resource recovery, allowing the prioritization of aeration during periods of cheaper electricity.
- Measuring Roots: An Updated Approach.
- Table of Contents.
- Dictionary of computing.
- Model Predictive Control of Wastewater Systems.
- Grounding and Shielding Techniques (Wiley - IEEE).
- Supervised model predictive control of wastewater treatment plant - IEEE Conference Publication?
- Scientists Debate Gaia: The Next Century?
Sign In or Create an Account. Advanced Search. Sign In.
Supervised model predictive control of wastewater treatment plant
Article Navigation. Close mobile search navigation Article navigation. Volume 79, Issue 1.
Previous Article Next Article. Research Article December 28 E-mail: pas kruger. This Site.
Google Scholar. Luca Vezzaro Luca Vezzaro. Henrik Madsen Henrik Madsen. Water Sci Technol 79 1 : Article history Received:. Views Icon Views.maisonducalvet.com/paginas-para-conocer-gente-colmenarejo.php
Nonlinear MPC tracking control and set point control for wastewater treatment processes
Abstract Online model predictive control MPC of water resource recovery facilities WRRFs requires simple and fast models to improve the operation of energy-demanding processes, such as aeration for nitrogen removal. You do not currently have access to this content. Journal home Journal issue About the journal.
Keywords: nonlinear system , model predictive control , wastewater treatment plant WWTP , activated sludge model ASM , real time optimization. Article overview. References Related articles 0.
Figures 0. Information related to the author. Supplementary material 0. Result List. Next article.