Abstract
A mixed integer linear programming (MILP) problem formulation is proposed to optimize the net present value of a biomass-to-ethanol supply chain. Facility locations and capacities are determined simultaneously with biomass harvest and distribution. Sensitivity analysis and robustness are performed for a 9-state region of the United States case study to elucidate the impact of price uncertainty on a burgeoning biorefinery industry that may be affected by policy. Near term technology is favored for biomass collection and conversion to ethanol.
| Original language | English (US) |
|---|---|
| Publisher | Unknown Publisher |
| Number of pages | 5 |
| Volume | 29 |
| DOIs | |
| State | Published - 2011 |
Publication series
| Name | Computer Aided Chemical Engineering |
|---|---|
| Volume | 29 |
| ISSN (Print) | 15707946 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Biofuel
- Biomass
- Ethanol
- Mixed integer programming
- Supply chain design
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