Abstract
In this study, several strategies to upgrade lignocellulosic biorefineries for production of
value-added chemicals are systematically generated and evaluated with respect to economic
and sustainability objectives. A superstructure-based process synthesis approach
under uncertainty integrated with a sustainability assessment method is used as evaluation
tool. First, an existing superstructure representing the lignocellulosic biorefinery
design network is extended to include the options for catalytic conversion of bioethanol to
value-added derivatives. Second, the optimization problem for process upgrade is formulated
and solved for two different objective functions: i) maximization of operating profit
(the techno-economic criterion); and ii) minimization of the sustainability single index
ratio (the sustainability criterion). These results indicate first that there is a significant
potential of improvement of operating profit for biorefineries producing bioethanol-derived
chemicals (247 MM$/a and 241 MM$/a for diethyl ether and 1,3-butadiene, respectively).
Second, the optimal designs for upgrading bioethanol (i.e. production of 1,3-butadiene and
diethyl ether) performed also better with respect to sustainability compared with the
petroleum-based processes. In both cases, the effects of the market price uncertainties
were also analyzed by performing quantitative economic risk analysis and presented a
significant risk of investment for a lignocellulosic biorefinery (12 MM$/a and 92 MM$/a for
diethyl ether and 1,3-butadiene, respectively). The multi-product biorefinery presented a
more robust and risk-aware upgrading strategy considering the uncertainties that are
typical for a long-term investment horizon.
Original language | English |
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Journal | Biomass & Bioenergy |
Volume | 75 |
Pages (from-to) | 282-300 |
ISSN | 0961-9534 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- Biorefinery
- Bioethanol-upgrading
- Process synthesis
- Superstructure optimization
- Sustainability assessment
- Uncertainty analysis