Process simulator-based optimization of biorefinery downstream processes under the Generalized Disjunctive Programming framework

作者: Michele Corbetta , Ignacio E. Grossmann , Flavio Manenti

DOI: 10.1016/J.COMPCHEMENG.2016.02.009

关键词:

摘要: Abstract Downstream processing of biofuels and bio-based chemicals represents a challenging problem for process synthesis optimization, due to the intrinsic nonideal thermodynamics liquid mixtures derived from (bio) chemical conversion biomass. In this work, we propose new interface between simulator PRO/II (SimSci, Schneider-Electric) optimization environment GAMS structural parameter type flowsheets with rigorous detailed models. The is formulated within Generalized Disjunctive Programming (GDP) framework solution reformulated MINLP approached decomposition strategy based on Outer-Approximation algorithm, where NLP subproblems are solved derivative free optimizer belonging BzzMath library, MILP master problems CPLEX/GAMS. Several validation examples proposed spanning economic two different distillation columns, dewatering task diluted bio-mixtures, up sequencing simultaneous mixed-integer design each column quaternary mixture in presence azeotropes.

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