- Conference Paper
Ammonium load based aeration control on biological wastewater treatment plants saves costs and enhances nitrogen removal. However, the need for maintenance intensive sensors hamper the controls application in practice. Alternatives, in the form of soft-sensors are broadly discussed in academia. A soft-sensor recently described in literature exploits the pH effects induced by biological oxidation. This concept is now further developed by means of qualitative trend analysis (QTA). Previously, the qualitative path estimation (QPE) algorithms was proposed as a fast and reliable QTA algorithm for batch process data analysis. It does not allow online application in continuous flow systems however. In this work, a modification of QPE, call qualitative state estimation (QSE), is proposed as a suitable algorithm for continuous-flow systems. Initial tests indicate that the QSE algorithms is a robust technique for extraction of relevant information in a full-scale environment. At the WWTP Hard in Winterthur, this resulted in cost-saving automation of the aeration system. This contribution summarizes these first results. Show more
Book title12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering
Journal / seriesComputer Aided Chemical Engineering
Pages / Article No.
SubjectAmmonia control; Biological wastewater treatment; Hidden Markov model; Kernel regression; Process monitoring
Organisational unit03832 - Morgenroth, Eberhard / Morgenroth, Eberhard
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