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Soft Sensors Application for the Estimation of Benzene Content in Reformate (CROSBI ID 591386)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | domaća recenzija

Ujević Andrijić, Željka ; Bolf, Nenad ; Rolich, Tomislav ; Mohler, Ivan Soft Sensors Application for the Estimation of Benzene Content in Reformate // Danas znanost - sutra industrija : knjiga sažetaka / Jukić, Ante (ur.). Zagreb : Osijek: Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI) ; Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2012. str. 49-49

Podaci o odgovornosti

Ujević Andrijić, Željka ; Bolf, Nenad ; Rolich, Tomislav ; Mohler, Ivan

engleski

Soft Sensors Application for the Estimation of Benzene Content in Reformate

As vehicle emission standards become more stringent there is an increasing need for continuous monitoring of benzene content in gasoline. Since the on-line analyzers are often unavailable, and laboratory analyses are infrequently, dynamic model of the soft sensors for benzene content estimation of light and heavy reformate are developed. Experimental data is acquired from the refinery distributed control system (DCS) and include continuously measured variables and analyzer assays available on-line. Dynamic models based on Finite Impulse Response (FIR) and Output Error (OE) identification methods are presented. To avoid a trial and error procedure, genetic algorithm model order optimizing is proposed. The models are implemented on advanced application module within DCS where the benzene content is calculated based on dynamic polynomial models and stored in process history database. The results show very good matching with experimental data on validation set, thus proving their usefulness for on-line estimation of benzene content in the light reformate. Moreover, since the process analyzer for benzene content is often out of order due to maintenance the model replaces on-line analyzer. Performance is validated comparing the results with laboratory analyzes carried out 2 or 3 times a day.

Soft sensors; Optimization; Identification; Estimation; Genetic Algorithm

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Podaci o prilogu

49-49.

2012.

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objavljeno

978-953-6894-46-8

Podaci o matičnoj publikaciji

Danas znanost - sutra industrija : knjiga sažetaka

Jukić, Ante

Zagreb : Osijek: Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI) ; Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku

Podaci o skupu

14. Ružičkini dani

poster

13.09.2012-15.09.2012

Vukovar, Hrvatska

Povezanost rada

Kemijsko inženjerstvo