A generalized disjunctive programming framework for the optimal synthesis and analysis of processes for ethanol production from corn stover.

Abstract

The aim of this study is to analyze the techno-economic performance of process configurations for ethanol production involving solid-liquid separators and reactors in the saccharification and fermentation stage, a family of process configurations where few alternatives have been proposed. Since including these process alternatives creates a large number of possible process configurations, a framework for process synthesis and optimization is proposed. This approach is supported on kinetic models fed with experimental data and a plant-wide techno-economic model. Among 150 process configurations, 40 show an improved MESP compared to a well-documented base case (BC), almost all include solid separators and some show energy retrieved in products 32% higher compared to the BC. Moreover, 16 of them also show a lower capital investment per unit of ethanol produced per year. Several of the process configurations found in this work have not been reported in the literature.

DOI: 10.1016/j.biortech.2017.03.180

Cite this paper

@article{Scott2017AGD, title={A generalized disjunctive programming framework for the optimal synthesis and analysis of processes for ethanol production from corn stover.}, author={Felipe Scott and Germ{\'a}n E. Aroca and Jos{\'e} Antonio Caballero and Ra{\'u}l Conejeros}, journal={Bioresource technology}, year={2017}, volume={236}, pages={212-224} }