Global sensitivity analysis in bioreactor networks

摘要

A global sensitivity analysis applying variance-based techniques is implemented for a bioreactors network used in the production of ethanol from molasses sugar and vinases distillates. Two types of bioreactors are considered, an aerobic for biomass production and an anaerobic for ethanol production. Probability distributions are assigned to each uncertain parameter, thus temporal profiles for the sensitivity indices are obtained for the main differential and algebraic variables. Sobol's method (1990) is used, performing stochastic simulations within gPROMS environment (PSEnterprise, 2009). Numerical results show the time-variant influence of the parameter during the fermenters operating time.