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• It was not possible to simulate solids accumulation with any accuracy since the experimental<br />

data were extremely noisy, and the kinetic parameters were not well understood.<br />

• The composition <strong>of</strong> the feed in terms <strong>of</strong> alkalinity and ammonia generation potential (which<br />

can be inferred from a carbohydrate/ protein /lipid fractionation, or from elemental <strong>analysis</strong> <strong>of</strong><br />

the feed) was required for accurate prediction <strong>of</strong> effluent characteristics. Some <strong>of</strong> these<br />

quantities were not available from the <strong>pilot</strong>-ABR experimental study (Foxon et al., 2004)<br />

• Representation <strong>of</strong> hydrolysable COD as a single component in the Siegrist model resulted in<br />

poor agreement between predicted and measured soluble COD concentrations (Foxon et al.,<br />

2004)<br />

6.5.2.2 Recommendations for model development<br />

The following changes were proposed to the model structure:<br />

• It was concluded that a biochemical model with protolysis and deprotolysis <strong>of</strong> weak acids and<br />

bases is necessary to adequately describe soluble COD and pH value dynamics in the ABR<br />

<strong>treating</strong> <strong>domestic</strong> wastewater at low inflow alkalinity concentrations. (Foxon and Buckley,<br />

2007)<br />

• One particulate biodegradable COD fraction is insufficient to represent decreasing average<br />

hydrolysis rates; a subdivision <strong>of</strong> particulate biodegradable COD is proposed.<br />

Both <strong>of</strong> these changes are implemented in the Anaerobic Digestion Model No. 1 (ADM1, Batstone et<br />

al., 2002), so it seems appropriate to adopt the ADM1 model structure in future modelling.<br />

The following additional data would improve the model’s predictive performance:<br />

• Model inputs<br />

• Particulate and soluble organic nitrogen in the feed<br />

• Particulate and soluble inert COD in the feed<br />

• Total gas production<br />

• Organic acid concentration in the feed and in compartments<br />

• Some measure <strong>of</strong> the biomass seeding rates, or indication <strong>of</strong> where the model is sensitive to<br />

the seeding rate<br />

• A sludge retention model that describes the relationship between upflow velocity and sludge<br />

carry-over for granular and dispersed sludge<br />

6.6 DESIGN OF BAFFLED DIGESTERS FOR TREATING DOMESTIC WASTEWATER<br />

The <strong>analysis</strong> presented in this chapter has indicated that the principle parameters that must be fixed for<br />

design <strong>of</strong> an ABR <strong>treating</strong> <strong>domestic</strong> wastewater are upflow velocity in compartments and overall A-<br />

HRT. This is used as the basis for presenting a design methodology for a classic (hanging and standing<br />

baffle) ABR design.<br />

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