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Industrial Model Validation of a WWT Bubbling Fluidized Bed Incinerator

Souad Rabah
MIS Laboratory, 80000 Amiens, France / ESIEE-Amiens, 80082 Amiens, France / University of Picardie Jules Verne,(UPJV) 80039 Amiens, France / LTSIRS Laboratory, ENIT,Tunis El Manar University,1002 Tunis,Tunisia

Rodrigo O. Brochado
ESIEE-Amiens, 80082 Amiens, France / LTSIRS Laboratory, ENIT,Tunis El Manar University,1002 Tunis,Tunisia

Hervé Coppier
MIS Laboratory, 80000 Amiens, France / ESIEE-Amiens, 80082 Amiens, France

Mohammed Chadli
MIS Laboratory, 80000 Amiens, France / ESIEE-Amiens, 80082 Amiens, France

Nesrine Zoghlami
LTSIRS Laboratory, ENIT,Tunis El Manar University,1002 Tunis,Tunisia

Mohamed Saber Naceur
LTSIRS Laboratory, ENIT,Tunis El Manar University,1002 Tunis,Tunisia

Sam Azimi
Direction of Developement and Prospective, SIAAP, 92700 Colombes, France

Vincent Rocher
Direction of Developement and Prospective, SIAAP, 92700 Colombes, France

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp17142836

Ingår i: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Linköping Electronic Conference Proceedings 142:123, s. 836-841

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Publicerad: 2018-12-19

ISBN: 978-91-7685-399-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

The environmental concern has signi?cantly raised and specially in the case of bioprocess industries where new standards are more and more strict. In this context, areas of new research have been developed to enhance biological treatment processes productivity and reduce emission of toxic substance. To ensure the control of the incineration variables, a describing model should be determined. In our previous work, we presented multi variable identi?cation results relative- to SIAAP incineration process. This paper concerns model validation of a ?uidized-bed incineration furnace by different quality criteria. In this case, our focus is on production phase de?ned by two incineration modes. Thus, the observed data of each model is compared with the predicted data using quality criteria.

Nyckelord

validation methods, ?uidized-bed furnace, subspace state-space system N4SID

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