Moving Bed Biofilm Process in Activated Sludge Model 1 for Reject Water Treatment


  • Vasan Sivalingam
  • Gamunu Samarakoon
  • Carlos Dinamarca



moving bed biofilm reactor, reject water, activated sludge model, intermittent aeration, AQUASIM


A moving bed biofilm (MBB) process was modelled in AQUASIM using the standard activated sludge model 1 (ASM1) as a baseline. The model was controlled against experimental data from a pilot Hybrid Vertical Anaerobic Biofilm (HyVAB) reactor installed at Knarrdalstrand wastewater treatment plant, Porsgrunn, Norway. High ammonium concentration removal from reject water was studied by applying different aeration schemes at the plant and the modelling tool. Results show that the standard ASM1 model was poor to fit experimental data. Simulation results evidenced missing biochemical mechanisms related to anaerobic ammonium oxidation (Anammox) and short cut nitrogen removal processes. However, the essential simulation outputs are biofilm thickness, substrates concentration variation, and biomass distribution, partially validated with experimental results. The model, therefore, helped to realise the nature of the bioprocess observed at the pilot reactor.


G. Di Bella and G. Mannina. Intermittent Aeration in a Hybrid Moving Bed Biofilm Reactor for Carbon and Nutrient Biological Removal. Water, 12 (2), 2020. doi: 10.3390/w12020492.

C. H. Guo, V. Stabnikov, and V. Ivanov. The removal of nitrogen and phosphorus from reject water of municipal wastewater treatment plant using ferric and nitrate bioreductions. Bioresour. Technol, 101(11): 3992–3999, 2010.

M. Henze, W. Gujer, T. Mino, and M. C. M. van Loosdrecht. Activated sludge models ASM1, ASM2, ASM2d and ASM3. IWA Publishing, 2000.

G. Mannina, D. D. Trapani, G. Viviani, and H. Ødegaard. Modelling and dynamic simulation of hybrid moving bed biofilm reactors: Model concepts and application to a pilot plant. Biochem. Eng. J, 56 (1): 23–36, 2011. doi: 10.1016/j.bej.2011.04.013.

Y. Miao, Y. Ping, L. Zhang, B. Li, X. Li, L.Wu, and S. Wang. Partial nitrification-anammox (PNA) treating sewage with intermittent aeration mode-Effect of influent C/N ratios. Chem. Eng. J, 334: 664–672, 2018. doi: 10.1016/j.cej.2017.10.072.

M. I. Nelson and H. S. Sidhu. Analysis of the activated sludge model 1. Appl. Math. Lett, 22(5): 629–635, 2009. doi: 10.1016/j.aml.2008.05.003.

W. Rauch, H. Vanhooren, and P. Vanrolleghem. A simplified mixed-culture biofilm model. Water Res, 33(9), 1999. doi: 10.1016/S0043-1354(98)00415-1.

P. Reichert. Aquasim 2.0 User manual. Swiss Federal Institute for Environmental Science and Technology, Switzerland, 1998.

B. Rusten, O. Kolkinn, and H. Odegaard. Moving bed biofilm reactors and chemical precipitation for high efficiency treatment of wastewater from small communities. Water Sci. Technol, 35(6): 71–79, 1997. doi: 10.1016/S0273-1223(97)00097-8.

V. Sivalingam. "Nitrogen transformation in biofilm". University of South-Eastern Norway, Porsgrunn, 2019.

V. Sivalingam, C. Dinamarca, E. Janka, S. Kukankov, S. Wang, and R. Bakke. Effect of Intermittent Aeration in a Hybrid Vertical Anaerobic Biofilm Reactor (HyVAB) for Reject Water Treatment. Water, 12(4), 2020a. doi: 10.3390/w12041151.

V. Sivalingam, O. Ibrahim, S. Kukankov, B. Omodara, E. Janka, S. Wang, C. Dinamarca, H. Haugen, and R. Bakke. Chemical equilibrium model to investigate scaling in moving bed biofilm reactors (MBBR). In Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, 12-16 August, 2020, Västerås, Sweden, pages 139–144, 2020b. doi:10.3384/ecp20170139.

M. C. M. Van Loosdrecht, C. M. Lopez-Vazquez, S. C. F. Meijer, C. M. Hooijmans, and D. Brdjanovic. Twenty-five years of ASM1: past, present and future of wastewater treatment modelling. J. Hydroinformatics, 17(5): 697–718, 2015. doi: 10.2166/hydro.2015.006.

S. Wang, S. Parajuli, V. Sivalingam, and R. Bakke. Biofilm in Moving Bed Biofilm Process for Wastewater Treatment. Bact. Biofilms, 2019. doi: 10.5772/intechopen.88520.

O. Wanner and E. Morgenroth. Biofilm modeling with AQUASIM. Water Sci. Technol, 49(11–12): 137-144, 2004.