Naslov
Local sensitivity analysis of integrated membrane bioreactor model

Autori
Čurlin, Mirjana ; Jurinjak Tušek, Ana ; Jurina, Tamara ; Petrinić, Irena ; Kurtanjek, Želimir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 15th Ružička days: Today Science – tomorrow industry / Šubarić, Drago ; Jukić, Ante - Osijek : Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku ; Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI), 2015, 70-80

ISBN
978-953-7005-36-8

Skup
15th Ružička days: Today Science – tomorrow industry

Mjesto i datum
Osijek, Hrvatska, 11.09.2014. - 12.09.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
m embrane bioreactor ; activated sludge model ; local sensitivity analysis ; FAST method

Sažetak
Membrane bioreactors (MBRs) consist of the combination of biological processes(typically activated sludge processes) with membrane technologies and are being applied when high quality effluents are required. Over the last decades, membrane technologies alone or in combination with biological processes (i.e. MBRs) have been successfully applied for municipal and industrial wastewater treatment. MBR-based technology is a complex physical - chemical and biological system with numerous interactions between the process variables. For design and better understanding of this complex system mathematical modelling is a very useful tool. According to literature there are several integrated models describing the both physical and biological processes taking part in MBRs with some simplifications. But there is still a big challenge in developing of an integrated model able to describe the biological nutrient removal, formation/degradation of soluble microbial products and physical separation. In this work, one-to-one local sensitivity analysis was applied to define the most important parameters of integrated activated sludge model 2d and soluble microbial product (ASM2d-SMP) model proposed by Cosenza et al. (2013). Model includes 19 biological state variables and 79 parameters (kinetics, stoichiometric, physical and fraction- related).By simulating described mathematical model with one and three percent parameters value increase/decrease the key regulation points of the model are detected. Obtained results facilitate future experiments planning and can be a good starting point for model reduction.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo, Biotehnologija

POVEZANOST RADA