Modeling the fate of organic nitrogen during anaerobic digestion: Development of a bioaccessibility based ADM1.

Simulating the fate of nitrogen during anaerobic digestion is required to predict the characteristics of digestates and to improve their exploitation for agricultural uses. The aim of this study was to develop a modified ADM1 model that includes bioaccessibility-based fractionation to accurately simulate the fate of nitrogen during anaerobic digestion. To this end, two complementary approaches were used: (i) changes in the bioaccessibility of protein and non-protein compounds were assessed on eight substrates during anaerobic digestion in batch experiments using the "EPS" fractionation method; (ii) experimental results were used to develop a bio-kinetic model based on anaerobic digestion model n°1. This new model incorporates bioaccessibility-based fractionation in its input state variables. The model was successfully calibrated and model evaluation showed that predicted methane production, ammonium production and changes in protein and non-protein bioaccessibility during anaerobic digestion were accurate.

Characterization and prediction of organic nitrogen biodegradability during anaerobic digestion: A bioaccessibility approach.

Prediction of organic nitrogen mineralization into ammonium during anaerobic digestion is required for optimizing substitution of mineral fertilizer by digestates. The aim of this study was to understand organic nitrogen biodegradability and to investigate how it can be predicted from carbon biodegradability, and nitrogen bioaccessibility, respectively. Bioaccessibility was assessed using fractionation methods based on sequential extractions. Results showed that organic nitrogen was present in fractions whose bioaccessibility levels differed. Organic nitrogen and carbon biodegradability were also determined and compared. Results highlighted two groups of substrates: the first with an initial NH4+/TKN < 30%, whose carbon and nitrogen biodegradability are similar; the second with an initial NH4+/TKN > 30%, whose carbon and nitrogen biodegradability differ significantly. To enable prediction on all substrates, partial least square (PLS) regressions were carried out to link organic nitrogen bioaccessibility indicators to biodegradability. The models successfully predicted organic nitrogen biodegradability with a maximum prediction error of 10%.

The impact of compaction, moisture content, particle size and type of bulking agent on initial physical properties of sludge-bulking agent mixtures before composting.

This study aimed to experimentally acquire evolution profiles between depth, bulk density, Free Air Space (FAS), air permeability and thermal conductivity in initial composting materials. The impact of two different moisture content, two particle size and two types of bulking agent on these four parameters was also evaluated. Bulk density and thermal conductivity both increased with depth while FAS and air permeability both decreased with it. Moreover, depth and moisture content had a significant impact on almost all the four physical parameters contrary to particle size and the type of bulking agent.

Non-destructive quantification of water gradient in sludge composting with Magnetic Resonance Imaging.

Sludge from a slaughter-house wastewater plant, and mixtures of bulking agent (crushed wood pallet) and sludge were studied by Nuclear Magnetic Resonance (NMR). The NMR spin-spin relaxation (T(2)) and spin-lattice relaxation (T(1)) signals for sludge, wet crushed wood pallet and mixtures of sludge and bulking agent were decomposed into three relaxation time components. Each relaxation time component was explained by a non-homogeneous water distribution on a microscopic length scale and by the porosity of the material. For all samples, the T(2) relaxation time value of each component was directly related to the dry matter content. The addition of wet crushed wood to sludge induced a decrease in the relaxation time, explained by water transfer between the sludge and the wood. Magnetic Resonance Imaging (MRI) and respirometric measurements were performed on sludge and wood mixtures. MR images of the mixtures were successfully obtained at different biodegradation states. Based on specific NMR measurements in an identified area located in the MRI cells, the results showed that grey levels of MR images reflected dry matter content. This preliminary study showed that MRI would be a powerful tool to measure water distribution in sludge and bulking agent mixtures and highlights the potential of this technique to increase the understanding of sludge composting.

Influence of the airflow rate on heat and mass transfers during sewage sludge and bulking agent composting.

The aim of this study was to characterize the gas flow during the composting, at a pilot scale, of a mixture of sludge and bulking agent, in order to model heat and mass transfers involved in the process. Thus, a closed 300-litre cylindrical pilot was fed with a mixture of wastewater treatment sludge and pine bark. Aeration was supplied from the bottom via an air blower and gases were collected at the top. Three experiments were led with constant gas flow rates and one with varying aeration rate. Temperatures within the pilot reactor were monitored all along the trials and their evolutions were discussed in term of heat transfers and parameters influencing the heat balance. Concurrently, Retention Time Distribution curves were obtained by injecting a pulse of methane in the entering airflow and by analysing the methane concentration in the exhaust gas, every two or three days during composting. The gas flow, within the composting medium, was characterized by a dispersion model, which is a deviation of the plug flow model. The dispersive effect of the flow was correlated to the evolution of the experimental temperature, and a convective dispersion model was used to describe the heat and mass transfers through the gas flow. These equations will be, in future work, coupled with heat production and mass degradation terms in order to model the global mass and heat balances of this composting process. Finally, axial dispersion coefficients of gases were determined and correlated with the airflow rate.

A respirometric method for characterising the organic composition and biodegradation kinetics and the temperature influence on the biodegradation kinetics, for a mixture of sludge and bulking agent to be co-composted.

A respirometric method was set up to study kinetics of biological reactions involved in the treatment of organic wastes-sludge mixed with pine barks--by composting. Oxygen consumption rates of this type of mixture were monitored during 10-20 days, using a 10 l respirometric cell kept at constant temperature and moisture. Oxygen consumption kinetics were modelled and organic matter composition was characterised as biomass, easily-biodegradable, slowly-biodegradable and non-biodegradable organic matter. The influence of temperature on kinetics was tested. Results show that this respirometric method is a useful tool for the characterisation of solid organic matter biodegradability and for the modelling of the biological kinetics of the composting process.