Resumen de Optimization of anaerobic codigestion processes of lignocellulosic materials of difficult degradation with residues from andean livestock
Washington Orlando Meneses Quelal
Access to modern energy sources in rural areas of the Andean region is one of the main factors to reduce poverty, since its access would provide environmental, economic and social benefits. Despite efforts to find alternative sources to correct the energy deficit, there are still millions of people who suffer from the lack of accessibility to modern energy sources, a situation that is due to the high levels of poverty under which they are immersed. Along with this inconvenience is added the enormous increase in agricultural residues in the Andean communities. Waste that comes from agricultural activities, and that could be harmful to the environment if adequate measures are not taken. Unfortunately, in many developing countries where large amounts of these wastes are generated, little is known about their potential risks and benefits if not managed properly. One of the most interesting approaches to address this problem is the development of sustainable management of agricultural organic waste in the region, transforming it into resources for the generation of renewable energy (biogas) and organic fertilizers (digestate). This solution would allow to give an energetic recovery to the agricultural residues of the area, on which they base their economy, and at the same time would contribute to a better management of the residues avoiding the increase of environmental pollution.
To contribute to energy development and improve the paradigm of waste management in the Andean area of Guaranda (Ecuador), this Doctoral Thesis addresses the evaluation of the biochemical potential of methane (BPM) of agricultural organic waste in the region. A systematic quantification of biogas production is carried out through the biochemical transformation of agricultural organic waste that includes main substrates (vicuña, llama and guinea pig manure residues, and cattle slaughterhouse residues) and co-substrates (amaranth straw residues), quinoa and wheat). The general objective of this doctoral research has been carried out in four phases: (I) characterization of the raw material through elemental and proximal analysis through which the theoretical performance and biodegradability of substrates and co-substrates were estimated, (II) Performance of the co-digestion of agricultural organic waste with mixtures of sewage sludge in batch biodigesters, (III) Analysis of synergistic and antagonistic effects during monodigestion and co-digestion of raw materials and (IV) Evaluation of microbial kinetics of anaerobic digestion using modified Gompertz models, transfer, logistic equation, cone model and modified Richards.
In the physicochemical characterization it was determined that the VS/TS ratios of the substrates and co-substrates ranged between 58 and 77% with a C/N ratio between 12 and 102, which indicated that these wastes are suitable raw materials to produce methane. In all the tests an increase in the amount of inoculum improved the biodegradability of the substrates and consequently the methane production; thus, in monodigestion there were increases of up to 90% and in co-digestion increases of 71%. All the mixtures produced synergistic effects, where the highest percentages of methane occurred when the mixtures of amaranth, quinoa and wheat residues were 50 and 75% volatile solids. Regardless of SIR1:1 and SIR 1:2, the production of methane from co-digestion was improved by increasing the percentage of co-substrate, especially amaranth and quinoa residues. The best results of all the tests carried out were obtained in the biodigesters composed of slaughterhouse waste and quinoa waste, where methane productions between 581 and 555 ml/g VS were obtained. Regarding the kinetic modelling of the anaerobic digestion process, it was found that all the models fit the experimental values quite well with the predicted ones. In the monodigestion, in all the logistic models, the calculated asymptotes were adjusted very precisely for the specific yield (Me)
