Modelling of wine vinegar acetification bioreactor: Global sensitivity analysis and simplification of the model

다국어 초록 (Multilingual Abstract)

First-principles models of any process usually describe its complex underlying mechanisms using differentialand algebraic equations including several unknown parameters, whose values must be normallyestimated from experimental data. In this context, assessment of the influence of each parameter onmodel outputs, also known as sensitivity analysis, is an invaluable tool to, for example, simplify the structureof such model. In this work, variance-based Global Sensitivity Analysis (GSA) using Sobol’ main andtotal effects was carried out on a previously proposed acetification process first-principles model. Threeparameters (KSE, KIA and KSO) showed less influence than the remaining nine considering their statedvalue ranges; KSE presented no influence in all the analysed experimental conditions, value variation ofKIA exhibited a slightly greater effect on experiments with higher mean acetic acid concentrations andKSO showed the strongest impact by varying its value in all the experiments. According to these results,the model was simplified and its simulation compared with the initially proposed model and the experimentaldata. The analysis performed, by way of example, can be of crucial importance for any otherprocess.

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