Selecting the most relevant variables for anaerobic digestion imbalances : Two case studies

In this study, a wrapper approach was applied to objectively select the most important variables related to two different anaerobic digestion imbalances, acidogenic states and foaming. This feature selection method, implemented in artificial neural networks (ANN), was performed using input and output data from a fully instrumented pilot plant (1 m 3 upflow fixed bed digester). Results for acidogenic states showed that pH, volatile fatty acids, and inflow rate were the most relevant variables. Results for foaming showed that inflow rate and total organic carbon were among the relevant variables, both of which were related to the feed loading of the digester. Because there is not a complete agreement on the causes of foaming, these results highlight the role of digester feeding patterns in the development of foaming

II Congreso español de gestión integral de deyecciones ganaderas : Barcelona, 9-10 de junio 2010. International workshop on anaerobic digestion of slaughterhouse waste : Barcelona, 11 junio 2010

La fuerte demanda de alimentos que ha tenido lugar a nivel mundial en los últimos años, ha provocadoun cambio en los sistemas de producción agraria y para el caso de la ganadera se ha pasado de lastípicas explotaciones extensivas ligadas al terreno a las granjas intensivas, en donde se ha incrementadola carga ganadera, bien aumentando el número de cabezas en pastoreo o mediante la construcción degranjas intensivas sin suelo