LAPSE:2019.0859
Published Article
LAPSE:2019.0859
Integrating Genome-Scale and Superstructure Optimization Models in Techno-Economic Studies of Biorefineries
July 31, 2019
Genome-scale models have become indispensable tools for the study of cellular growth. These models have been progressively improving over the past two decades, enabling accurate predictions of metabolic fluxes and key phenotypes under a variety of growth conditions. In this work, an efficient computational method is proposed to incorporate genome-scale models into superstructure optimization settings, introducing them as viable growth models to simulate the cultivation section of biorefinaries. We perform techno-economic and life-cycle analyses of an algal biorefinery with five processing sections to determine optimal processing pathways and technologies. Formulation of this problem results in a mixed-integer nonlinear program, in which the net present value is maximized with respect to mass flowrates and design parameters. We use a genome-scale metabolic model of Chlamydomonas reinhardtii to predict growth rates in the cultivation section. We study algae cultivation in open ponds, in which exchange fluxes of biomass and carbon dioxide are directly determined by the metabolic model. This formulation enables the coupling of flowrates and design parameters, leading to more accurate cultivation productivity estimates with respect to substrate concentration and light intensity.
Record ID
Keywords
algal biorefinery, disjunctive programming, genome-scale models, life-cycle analysis, mixed-integer nonlinear programming, superstructure optimization, Technoeconomic Analysis
Subject
Suggested Citation
Akbari A, Barton PI. Integrating Genome-Scale and Superstructure Optimization Models in Techno-Economic Studies of Biorefineries. (2019). LAPSE:2019.0859
Author Affiliations
Journal Name
Processes
Volume
7
Issue
5
Article Number
E286
Year
2019
Publication Date
2019-05-15
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7050286, Publication Type: Journal Article
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Published Article
LAPSE:2019.0859
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External Link
doi:10.3390/pr7050286
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Version History
[v1] (Original Submission)
Jul 31, 2019
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Jul 31, 2019
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https://psecommunity.org/LAPSE:2019.0859
Original Submitter
Calvin Tsay
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