title: Optimization of the moving-bed biofilm sequencing batch reactor (MBSBR) to control aeration time by kinetic computational modeling: Simulated sugar-industry wastewater treatment.
abstract: A novel approach was applied for optimization of a moving-bed biofilm sequencing batch reactor (MBSBR) to treat sugar-industry wastewater (BOD5=500-2500 and COD=750-3750 mg/L) at 2-4 h of cycle time (CT). Although the experimental data showed that MBSBR reached high BOD5 and COD removal performances, it failed to achieve the standard limits at the mentioned CTs. Thus, optimization of the reactor was rendered by kinetic computational modeling and using statistical error indicator normalized root mean square error (NRMSE). The results of NRMSE revealed that Stover-Kincannon (error=6.40%) and Grau (error=6.15%) models provide better fits to the experimental data and may be used for CT optimization in the reactor. The models predicted required CTs of 4.5, 6.5, 7 and 7.5 h for effluent standardization of 500, 1000, 1500 and 2500 mg/L influent BOD5 concentrations, respectively. Similar pattern of the experimental data also confirmed these findings.
authors.affiliation: Department of Environmental Engineering, Graduate School of the Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran.
authors.forename: Maryam
authors.initials: M
authors.lastname: Faridnasr
authors.affiliation: Department of Environmental Health Engineering, Graduate School of Public Health, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran; Water Purification Research Center (WPRC), Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran. Electronic address: b.ghanbari@iautmu.ac.ir.
authors.forename: Bastam
authors.initials: B
authors.lastname: Ghanbari
authors.affiliation: Department of Environmental Health Engineering, Graduate School of Public Health, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran.
authors.forename: Ardavan
authors.initials: A
authors.lastname: Sassani
mesh_terms: D018441:Biofilms; D019149:Bioreactors; D002241:Carbohydrates; D005525:Food-Processing Industry; D007220:Industrial Waste; D007700:Kinetics; D008962:Models, Theoretical; D014865:Waste Disposal, Fluid / Q000295:instrumentation* / Q000379:methods; D062065:Wastewater / Q000737:chemistry
chemical_list: D002241:Carbohydrates; D007220:Industrial Waste; D062065:Wastewater
keywords: Computational modeling; Industrial wastewater; Kinetic modeling; Optimization; Performance prediction