Design of an Optimal Biorefinery

Muhammad Nawaz; Edwin Zondervan; John Woodley; Rafiqul Gani

doi:10.1016/B978-0-444-53711-9.50075-4

Design of an Optimal Biorefinery

Muhammad Nawaz, Edwin Zondervan, John Woodley, Rafiqul Gani

Department of Chemical and Biochemical Engineering

Eindhoven University of Technology

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

Abstract

In this paper we propose a biorefinery optimization model that can be used to find the optimal processing route for the production of ethanol, butanol, succinic acid and blends of these chemicals with fossil fuel based gasoline. The approach unites transshipment models with a superstructure, resulting in a Mixed Integer Non-Linear Program (MINLP). We consider a specific problem based on a network of 72 processing steps (including different pretreatment steps, hydrolysis, fermentation, different separations and fuel blending steps) that can be used to process two different types of feedstock. Numerical results are presented for four different optimization objectives (maximize yield, minimize costs, minimize waste and minimum fixed cost), while evaluating different cases (single product and multi-product).

Original language	English
Title of host publication	21st European Symposium on Computer Aided Process Engineering
Number of pages	2029
Publisher	Elsevier
Publication date	2011
Pages	371-376
ISBN (Print)	978-0-444-53895-6
DOIs	https://doi.org/10.1016/B978-0-444-53711-9.50075-4
Publication status	Published - 2011
Event	21st European Symposium on Computer Aided Process Engineering - Chalkidiki, Greece Duration: 29 May 2011 → 1 Jun 2011 http://www.escape-21.gr/

Conference

Conference	21st European Symposium on Computer Aided Process Engineering
Country/Territory	Greece
City	Chalkidiki
Period	29/05/2011 → 01/06/2011
Internet address	http://www.escape-21.gr/

Series	Computer Aided Chemical Engineering
Number	29
ISSN	1570-7946

Keywords

Biorefinery
Mixed Integer Non-Linear Programming
Optimization

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10.1016/B978-0-444-53711-9.50075-4

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title = "Design of an Optimal Biorefinery",

abstract = "In this paper we propose a biorefinery optimization model that can be used to find the optimal processing route for the production of ethanol, butanol, succinic acid and blends of these chemicals with fossil fuel based gasoline. The approach unites transshipment models with a superstructure, resulting in a Mixed Integer Non-Linear Program (MINLP). We consider a specific problem based on a network of 72 processing steps (including different pretreatment steps, hydrolysis, fermentation, different separations and fuel blending steps) that can be used to process two different types of feedstock. Numerical results are presented for four different optimization objectives (maximize yield, minimize costs, minimize waste and minimum fixed cost), while evaluating different cases (single product and multi-product).",

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N2 - In this paper we propose a biorefinery optimization model that can be used to find the optimal processing route for the production of ethanol, butanol, succinic acid and blends of these chemicals with fossil fuel based gasoline. The approach unites transshipment models with a superstructure, resulting in a Mixed Integer Non-Linear Program (MINLP). We consider a specific problem based on a network of 72 processing steps (including different pretreatment steps, hydrolysis, fermentation, different separations and fuel blending steps) that can be used to process two different types of feedstock. Numerical results are presented for four different optimization objectives (maximize yield, minimize costs, minimize waste and minimum fixed cost), while evaluating different cases (single product and multi-product).

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KW - Biorefinery

KW - Mixed Integer Non-Linear Programming

KW - Optimization

U2 - 10.1016/B978-0-444-53711-9.50075-4

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ER -

Design of an Optimal Biorefinery

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Keywords

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