@inproceedings{706cde9feb384389be7cff53288aa516,
title = "Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery",
abstract = "A rising number of diabetes patients and the urgent need for novel biotechnological process solutions are the instigation for this work. A biorefinery concept based on the valorization of the hemicellulosic sugar fraction is proposed by producing the sugar substitute xylitol. Its process design is supposed to be performed via superstructure optimization (SSO). In order to assess the viability, the downstream process unit operations are analyzed by a comprehensive uncertainty and sensitivity analysis. Monte Carlo methods and the easyGSA framework are applied. The output is twofold: the uncertainty in the output is assessed and shows improvement potential for the xylitol yield by serial crystallization and the sensitivity analysis of operational parameters indicates a serial crystallization in the downstream process. Overall, the biorefinery concept is viable and can contribute to the development of sustainable value chains.",
keywords = "Biorefinery, Monte Carlo Methods, Surrogate Modelling, Process Design, Optimization",
author = "Vollmer, {Nikolaus I.} and Gernaey, {Krist V.} and Mussatto, {Solange I.} and G{\"u}rkan Sin",
year = "2020",
doi = "10.1016/B978-0-12-823377-1.50278-0",
language = "English",
volume = "48",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier",
pages = "1663--1668",
editor = "Sauro Pierucci and Flavio Manenti and Bozzano, {Guilia } and Davide Manca",
booktitle = "Proceedings of the 30th European Symposium on Computer Aided Process Engineering",
address = "United Kingdom",
note = " 30th European Symposium on Computer Aided Process Engineering (ESCAPE 30) ; Conference date: 31-08-2020 Through 02-09-2020",
}
