Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery

Nikolaus I. Vollmer; Krist V. Gernaey; Solange I. Mussatto; Gürkan Sin

doi:10.1016/B978-0-12-823377-1.50278-0

Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery

Nikolaus I. Vollmer^*
, Krist V. Gernaey
, Solange I. Mussatto
, Gürkan Sin

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 30th European Symposium on Computer Aided Process Engineering
Editors	Sauro Pierucci, Flavio Manenti, Guilia Bozzano, Davide Manca
Volume	48
Publisher	Elsevier
Publication date	2020
Pages	1663-1668
ISBN (Electronic)	978-0-12-823377-1
DOIs	https://doi.org/10.1016/B978-0-12-823377-1.50278-0
Publication status	Published - 2020
Event	30th European Symposium on Computer Aided Process Engineering (ESCAPE 30) - Virtual symposium, Milano, Italy Duration: 31 Aug 2020 → 2 Sept 2020

Conference

Conference	30th European Symposium on Computer Aided Process Engineering (ESCAPE 30)
Location	Virtual symposium
Country/Territory	Italy
City	Milano
Period	31/08/2020 → 02/09/2020

Series	Computer Aided Chemical Engineering
ISSN	1570-7946

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Biorefinery
Monte Carlo Methods
Surrogate Modelling
Process Design
Optimization

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Vollmer, N. I., Gernaey, K. V., Mussatto, S. I., & Sin, G. (2020). Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery. In S. Pierucci, F. Manenti, G. Bozzano, & D. Manca (Eds.), Proceedings of the 30th European Symposium on Computer Aided Process Engineering (Vol. 48, pp. 1663-1668). Elsevier. https://doi.org/10.1016/B978-0-12-823377-1.50278-0

Vollmer, Nikolaus I. ; Gernaey, Krist V. ; Mussatto, Solange I. et al. / Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery. Proceedings of the 30th European Symposium on Computer Aided Process Engineering. editor / Sauro Pierucci ; Flavio Manenti ; Guilia Bozzano ; Davide Manca. Vol. 48 Elsevier, 2020. pp. 1663-1668 (Computer Aided Chemical Engineering).

@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",

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booktitle = "Proceedings of the 30th European Symposium on Computer Aided Process Engineering",

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Vollmer, NI, Gernaey, KV , Mussatto, SI & Sin, G 2020, Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery. in S Pierucci, F Manenti, G Bozzano & D Manca (eds), Proceedings of the 30th European Symposium on Computer Aided Process Engineering. vol. 48, Elsevier, Computer Aided Chemical Engineering, pp. 1663-1668, 30th European Symposium on Computer Aided Process Engineering (ESCAPE 30), Milano, Italy, 31/08/2020. https://doi.org/10.1016/B978-0-12-823377-1.50278-0

Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery. / Vollmer, Nikolaus I.; Gernaey, Krist V.; Mussatto, Solange I. et al.
Proceedings of the 30th European Symposium on Computer Aided Process Engineering. ed. / Sauro Pierucci; Flavio Manenti; Guilia Bozzano; Davide Manca. Vol. 48 Elsevier, 2020. p. 1663-1668 (Computer Aided Chemical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery

AU - Vollmer, Nikolaus I.

AU - Gernaey, Krist V.

AU - Mussatto, Solange I.

AU - Sin, Gürkan

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Biorefinery

KW - Monte Carlo Methods

KW - Surrogate Modelling

KW - Process Design

KW - Optimization

U2 - 10.1016/B978-0-12-823377-1.50278-0

DO - 10.1016/B978-0-12-823377-1.50278-0

M3 - Article in proceedings

VL - 48

T3 - Computer Aided Chemical Engineering

SP - 1663

EP - 1668

BT - Proceedings of the 30th European Symposium on Computer Aided Process Engineering

A2 - Pierucci, Sauro

A2 - Manenti, Flavio

A2 - Bozzano, Guilia

A2 - Manca, Davide

PB - Elsevier

T2 - 30th European Symposium on Computer Aided Process Engineering (ESCAPE 30)

Y2 - 31 August 2020 through 2 September 2020

ER -

Vollmer NI, Gernaey KV , Mussatto SI , Sin G. Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery. In Pierucci S, Manenti F, Bozzano G, Manca D, editors, Proceedings of the 30th European Symposium on Computer Aided Process Engineering. Vol. 48. Elsevier. 2020. p. 1663-1668. (Computer Aided Chemical Engineering). doi: 10.1016/B978-0-12-823377-1.50278-0

Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery

Abstract

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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