Surrogate based Global Sensitivity Analysis of ADM1-based Anaerobic Digestion Model

In order to calibrate the model parameters, Sensitivity Analysis routines are mandatory rank parameters by their relevance and fix nominal values least influential factors. Despite high number of works based on ADM1, very few related sensitivity analysis. this study Global (GSA) Uncertainty Quantification (UQ) for an ADM1-based Anaerobic Digestion Model have been performed. The modified version ADM-based selected in was presented Esposito co-authors 2013. Unlike first focused sewage sludge degradation, is organic fraction municipal solid waste digestion. It his recalled that many applications hydrolysis considered bottleneck overall anaerobic digestion process when input substrate constituted complex matter. Esposito's a surfaced kinetic approach disintegration matter introduced. This allows better step taking into account effect particle size distribution process. needs thus GSA UQ pave way further improvements reach deep understanding main processes leading Due large be analyzed preliminary screening analysis, with Morris' Method, has conducted. Since two quantities interest (QoI) considered, initial performed twice, obtaining set containing most factors determining value each QoI. A surrogate ADM1 defined making use interest. output results from Sobol’ indices quantitative GSA. Finally, uncertainty quantification By adopting kernel smoothing techniques, Probability Density Functions quantity defined.