A Novel Approach for the Identification of Economic Opportunities within the Framework of a Biorefinery

A. I. Torres; I. Cybulska; C. J. Fang; M. H. Thomsen; J. E. Schmidt; George Stephanopoulos

doi:10.1016/B978-0-444-63577-8.50041-3

A Novel Approach for the Identification of Economic Opportunities within the Framework of a Biorefinery

A. I. Torres, I. Cybulska, C. J. Fang, M. H. Thomsen, J. E. Schmidt, George Stephanopoulos

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

In this paper we propose a novel mathematical framework for the study of biorefinery networks. The framework is based on a natural decomposition of the biorefinery network in two sub-problems: a supply of intermediates and a demand of intermediates. The two sub-problems can be optimized independently of each other and their solutions are later coordinated to yield the optimal feasible biorefinery complex. Based on this separability, a computer aided computational environment that emulates the proposed framework is presented.

Original language	English (US)
Pages (from-to)	1175-1180
Number of pages	6
Journal	Computer Aided Chemical Engineering
Volume	37
DOIs	https://doi.org/10.1016/B978-0-444-63577-8.50041-3
State	Published - Jan 1 2015
Externally published	Yes

Keywords

Biorefinery
Computer aided collaborative environment
Multi-objective optimization

ASJC Scopus subject areas

Chemical Engineering(all)
Computer Science Applications

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10.1016/B978-0-444-63577-8.50041-3

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title = "A Novel Approach for the Identification of Economic Opportunities within the Framework of a Biorefinery",

abstract = "In this paper we propose a novel mathematical framework for the study of biorefinery networks. The framework is based on a natural decomposition of the biorefinery network in two sub-problems: a supply of intermediates and a demand of intermediates. The two sub-problems can be optimized independently of each other and their solutions are later coordinated to yield the optimal feasible biorefinery complex. Based on this separability, a computer aided computational environment that emulates the proposed framework is presented.",

keywords = "Biorefinery, Computer aided collaborative environment, Multi-objective optimization",

author = "Torres, {A. I.} and I. Cybulska and Fang, {C. J.} and Thomsen, {M. H.} and Schmidt, {J. E.} and George Stephanopoulos",

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T1 - A Novel Approach for the Identification of Economic Opportunities within the Framework of a Biorefinery

AU - Torres, A. I.

AU - Cybulska, I.

AU - Fang, C. J.

AU - Thomsen, M. H.

AU - Schmidt, J. E.

AU - Stephanopoulos, George

PY - 2015/1/1

Y1 - 2015/1/1

N2 - In this paper we propose a novel mathematical framework for the study of biorefinery networks. The framework is based on a natural decomposition of the biorefinery network in two sub-problems: a supply of intermediates and a demand of intermediates. The two sub-problems can be optimized independently of each other and their solutions are later coordinated to yield the optimal feasible biorefinery complex. Based on this separability, a computer aided computational environment that emulates the proposed framework is presented.

AB - In this paper we propose a novel mathematical framework for the study of biorefinery networks. The framework is based on a natural decomposition of the biorefinery network in two sub-problems: a supply of intermediates and a demand of intermediates. The two sub-problems can be optimized independently of each other and their solutions are later coordinated to yield the optimal feasible biorefinery complex. Based on this separability, a computer aided computational environment that emulates the proposed framework is presented.

KW - Biorefinery

KW - Computer aided collaborative environment

KW - Multi-objective optimization

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VL - 37

SP - 1175

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JO - Computer Aided Chemical Engineering

JF - Computer Aided Chemical Engineering

ER -

A Novel Approach for the Identification of Economic Opportunities within the Framework of a Biorefinery

Abstract

Keywords

ASJC Scopus subject areas

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