Abstract
Combined fermentation and thermocatalytic conversion of biomass to isoprene comprises a hybrid process to provide the key monomer in the manufacturing of renewable synthetic rubber. In this work, design and economic evaluation of a chemical process considers the three-step process chemistry: (a) fermentation of glucose to either mesaconic or itaconic acid, (b) catalytic hydrodeoxygenation of mesaconic or itaconic acid to 3-methyl-tetrahydrofuran, and (c) catalytic dehydra-decyclization of 3-methyl-tetrahydrofuran to isoprene. Detailed reaction and separation systems were designed to maximize catalytic yield to isoprene and recover it with high purity. An economic sensitivity analysis identified hydrodeoxygenation and dehydra-decyclization catalytic selectivity as the critical opportunities for improving process economics. The process based on existing catalytic performance achieves a minimum sale price of isoprene (defined as the price which results in a project net present value of zero) of $4.07 kg -1 ($1.85 lb m -1 ) at a scale of 100,000 t yr -1 of mesaconic acid purchased at $1.00 kg -1 . Six process enhancements based on improved future catalytic technology are considered, with several scenarios achieving a minimum sale price of isoprene below $2.50 kg -1 ($1.13 lb m -1 ).
Original language | English (US) |
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Pages (from-to) | 5576-5586 |
Number of pages | 11 |
Journal | ACS Sustainable Chemistry and Engineering |
Volume | 7 |
Issue number | 5 |
DOIs | |
State | Published - Mar 4 2019 |
Bibliographical note
Publisher Copyright:© 2019 American Chemical Society.
Keywords
- Dehydration
- Hydrogenation
- Isoprene
- Itaconic acid
- Mesaconic acid
- Process design
- Techno-economic
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Dive into the research topics of 'Process Design and Economic Analysis of Renewable Isoprene from Biomass via Mesaconic Acid'. Together they form a unique fingerprint.Datasets
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Data for Process Design and Economic Analysis of Renewable Isoprene from Biomass via Mesaconic Acid
Dauenhauer, P. J., Lundberg, D. J. & Lundberg, D. J., Data Repository for the University of Minnesota, 2018
DOI: 10.13020/d6m11q, http://hdl.handle.net/11299/201748
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