State estimation for large-scale wastewater treatment plants

Busch, Jan; Elixmann, David; Kühl, Peter; Gerkens, Carine; Schlöder, Johannes P.; Bock, Hans G.; Marquardt, W.

State estimation for large-scale wastewater treatment plants

2013

Many relevant process states in wastewater treatment are not measurable, or their measurements are subject to considerable uncertainty. This poses a serious problem for process monitoring and control. Model-based state estimation can provide estimates of the unknown states and increase the reliability of measurements. In this paper, an integrated approach is presented for the optimization-based sensor network design and the estimation problem. Using the ASM1 model in the reference scenario BSM1, a cost-optimal sensor network is designed and the prominent estimators EKF and MHE are evaluated. Very good estimation results for the system comprising 78 states are found requiring sensor networks of only moderate complexity.

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AGROVOC Keywords

algorithms ammonia analysis economics models uncertainty wastewater wastewater treatment wastewater treatment water purification

Bibliographic information

Published in

Water research

ISSN 0043-1354

Publisher

Elsevier Ltd

Other Subjects

Moving horizon estimation; Process monitoring; State estimation; Asm; Computer simulation; Costs and cost analysis; Instrumentation; Ekf; Equipment design; Time factors; Bsm1

Language

English

Type

Journal Article; Text

In AGRIS since: 2024-02-27

Format: MODS

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This bibliographic record has been provided by National Agricultural Library

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Links

DOI DOI http://dx.doi.org/10.1016/j.watres.2013.04.007

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