Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/349921
Type: Artigo
Title: Production of ethanol fuel via syngas fermentation: Optimization of economic performance and energy efficiency
Author: Medeiros, Elisa M. de
Noorman, Henk
Maciel Filho, Rubens
Posada, John A.
Abstract: In this work, a model was developed to predict the performance of a bubble column reactor for syngas fermentation and the subsequent recovery of anhydrous ethanol. The model was embedded in an optimization framework which employs surrogate models (artificial neural networks) and multi-objective genetic algorithm to optimize different process conditions and design variables with objectives related to investment, minimum selling price, energy efficiency and bioreactor productivity. The results indicate the optimal trade-offs between these objectives while providing a range of solutions such that, if desired, a single solution can be picked, depending on the priority conferred to different process targets. The Pareto-optimal values of the decision variables were discussed for different case studies with and without the recovery unit. It was shown that enhancing the gas-liquid mass transfer coefficient is a key strategy toward sustainability improvement
Subject: Bioetanol
Country: Reino Unido
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.cesx.2020.100056
Address: https://www.sciencedirect.com/science/article/pii/S2590140020300022
Date Issue: 2020
Appears in Collections:FEQ - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-85079140160.pdf8.47 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.