Modelling simultaneous anaerobic methane and ammonium removal in a granular sludge reactor

• Affinity constants and yield coefficient of ndamo (NC10 phylum) bacteria were determined.
• Coexistence of anammox and ndamo bacteria in one granule shown through simulation.
• Influence of influent composition, granule size and biomass loading rate was assessed.
• Oscillatory behaviour may occur under certain operation conditions.
• An economic evaluation of the aeration costs was conducted.

Anaerobic nitrogen removal technologies offer advantages in terms of energy and cost savings over conventional nitrification–denitrification systems. A mathematical model was constructed to evaluate the influence of process operation on the coexistence of nitrite dependent anaerobic methane oxidizing bacteria (n-damo) and anaerobic ammonium oxidizing bacteria (anammox) in a single granule. The nitrite and methane affinity constants of n-damo bacteria were measured experimentally. The biomass yield of n-damo bacteria was derived from experimental data and a thermodynamic state analysis. Through simulations, it was found that the possible survival of n-damo besides anammox bacteria was sensitive to the nitrite/ammonium influent ratio. If ammonium was supplied in excess, n-damo bacteria were outcompeted. At low biomass concentration, n-damo bacteria lost the competition against anammox bacteria. When the biomass loading closely matched the biomass concentration needed for full nutrient removal, strong substrate competition occurred resulting in oscillating removal rates. The simulation results further reveal that smaller granules enabled higher simultaneous ammonium and methane removal efficiencies. The implementation of simultaneous anaerobic methane and ammonium removal will decrease greenhouse gas emissions, but an economic analysis showed that adding anaerobic methane removal to a partial nitritation/anammox process may increase the aeration costs with over 20%. Finally, some considerations were given regarding the practical implementation of the process.

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