Design of a multi-model observer-based estimator for anaerobic reactor monitoring

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DOIResolve DOI: http://doi.org/10.1016/j.compchemeng.2006.05.003
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TypeArticle
Journal titleComputers & Chemical Engineering
Volume31
Issue2
Pages7885; # of pages: 8
AbstractA multi-model observer based estimator (OBE), which consists of a set of simple sub-models describing typical process states and a knowledge-based system, was developed for monitoring and long-term prediction of the anaerobic digestion process. The knowledge-based system uses biogas and pH measurements for process diagnosis, while OBE uses fluorescence-based measurements of chemical oxygen demand (COD) and volatile fatty acids (VFAs) for estimating process outputs. The approach was tested on experimental results obtained from the operation of a lab-scale anaerobic reactor. The sub-models used either Monod or a combination of zero- and first-order rate expressions. A comparison showed that while both multi-model OBEs featured rapid convergence and good stability, the combined zero- and first-order kinetic equations provided better long-term prediction accuracy.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada; NRC Biotechnology Research Institute
Peer reviewedNo
NPARC number12338401
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Record identifiera87189a5-5140-4267-961f-a06b4ca5125e
Record created2009-09-10
Record modified2016-05-09
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