RESUMEN
Peach is a fruit cultivated in temperate regions and its use generates waste composed of seeds and skin. Inadequate disposal of this waste generates an environmental impact; therefore, an alternative is to apply a vermicomposting degradation process. In this research, these four laboratory-scale reactors were used: RC (no earthworms), R1, R2, and R3 (50 earthworms each) to get mixtures in the following proportions of peach waste and load material (vegetable waste and eggshell): RC (50%-50%), R1 (50%-50%), R2 (60%-40%), and R3 (40%-60%). In addition, during this process, physicochemical parameters were analyzed (temperature, pH, humidity, total organic carbon (TOC), total nitrogen (TN), and carbon/nitrogen ratio (C/N)). For each mixture, the reaction order and rate constants were determined using mathematical models. After analysis of the reaction kinetics, the results showed that zero- and first-order reactions were best suited for the degradation of this waste in the vermicomposting process. The highest rates of degradation in the mixtures were for RC and R1, which means faster completion of the process, and consequently, smaller dimensions of the facilities necessary for vermicomposting. Thus, this research provides important information for the design of reactors that use similar substrates.
RESUMEN
The appropriate selection of treatment or final disposal for municipal solid waste generated by a population depends on multiple characteristics; decision-making becomes a challenge for those responsible for its integral management. Therefore, the objective of this research was to evaluate multi-scenarios of valorisation of the organic fraction of municipal solid waste. The methodology used included a sample of 421 houses to determine the generation and composition of the aforementioned municipal solid waste; this data served as input to be able to design four treatment and final disposal scenarios: current situation, composting, anaerobic digestion and landfill. The parameters of humidity, biochemical methane potential and biogas were used. In addition, organic fraction variability and treatment cost were considered. Data analysis included design of experiments with the uncertainty coefficient and predictive equations. The results showed that composting was the scenario that presented the highest coefficient of determination and therefore it would be the best choice to fit the particular conditions of the localities. It is concluded that this applied methodology can be used as a tool in the decision-making process regarding the valorisation of the organic fraction of municipal solid waste and can be replicated at a national and international level.