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Titolo:
State observers for a biological wastewater nitrogen removal process in a sequential batch reactor
Autore:
Boaventura, KM; Roqueiro, N; Coelho, MAZ; Araujo, OQF;
Indirizzi:
Univ Fed Rio de Janeiro, Escola Quim, BR-21949900 Rio De Janeiro, Brazil Univ Fed Rio de Janeiro Rio De Janeiro Brazil BR-21949900 BCeiro, Brazil Univ Fed Santa Catarina, Dept Engn Quim, BR-88040970 Florianopolis, SC, Brazil Univ Fed Santa Catarina Florianopolis SC Brazil BR-88040970 BC SC, Brazil
Titolo Testata:
BIORESOURCE TECHNOLOGY
fascicolo: 1, volume: 79, anno: 2001,
pagine: 1 - 14
SICI:
0960-8524(200108)79:1<1:SOFABW>2.0.ZU;2-D
Fonte:
ISI
Lingua:
ENG
Soggetto:
ACTIVATED-SLUDGE PROCESS; MODEL; IDENTIFICATION; WATER;
Keywords:
state observer; Kalman filter; wastewater treatment; nitrogen removal;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
20
Recensione:
Indirizzi per estratti:
Indirizzo: Araujo, OQF Univ Fed Rio de Janeiro, Escola Quim, CT Bl E Sala 207,Cidade Univ, BR-21949900 Rio De Janeiro, Brazil Univ Fed Rio de Janeiro CT Bl E Sala 207,Cidade Univ Rio De Janeiro Brazil BR-21949900 BC
Citazione:
K.M. Boaventura et al., "State observers for a biological wastewater nitrogen removal process in a sequential batch reactor", BIORES TECH, 79(1), 2001, pp. 1-14

Abstract

Biological removal of nitrogen is a two-step process: aerobic autotrophic microorganisms oxidize ammoniacal nitrogen to nitrate, and the nitrate is further reduced to elementary nitrogen by heterotrophic microorganisms underanoxic condition with concomitant organic carbon removal. Several state variables are involved which render process monitoring a demanding task, as in most biotechnological processes, measurement of primary variables such asmicroorganism, carbon and nitrogen concentrations is either difficult or expensive. An alternative is to use a process model of reduced order for on-line inference of state variables: based on secondary process measurements, e.g. pH and redox potential. In this work, two modeling approaches were investigated: a generic reduced order model based on the generally accepted IAWQ No. 1Model [M. Henze, C.P.L., Grady. W., Gujer. G.V.R., Marais. T., Matsuo, Water Res. 21 (5) (1987) 505-515] - generic model(GM), and a reduced order model specially validated with the data acquired from a bench-scale sequentialbatch reactor (SBR) specific model (SM). Model inaccuracies and measurement errors were compensated for with a Kalman filter structure to develop twostate observers: one built with GM, the generic observer (GO), and anotherbased on SM, the specific observer (SO). State variables estimated by GM, SM, GO and SO were compared to experimental data from the SBR unit. GM gavethe worst performance while SM predictions presented some model to data mismatch. GO and SO, on the other hand, were both in very good agreement withexperimental data showing that filters add robustness against model errors, which reduces the modeling effort while assuring adequate inference of process variables. (C) 2001 Elsevier Science Ltd. All rights reserved.

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Documento generato il 05/04/20 alle ore 04:41:46