MOESM1 of Multi-product biorefineries from lignocelluloses: a pathway to revitalisation of the sugar industry?

Additional file 1: Table S1. The main parameters implemented for the Aspen simulation of biorefinery scenarios. Table S2. Utilities condition of the developed biorefinery scenarios. Table S3. The specific energy consumption of the studied biorefinery scenarios (data of Fig. 4). Table S4. The detailed sales of the studied scenarios (data of Fig. 6). Table S5. Inventory for sugarcane cultivation. Table S6. Inventory for sugarcane processing in the sugar mill. Table S7. Inventory for the investigated biorefinery scenarios (per 65 ton/h biomass processed). Table S8. LCIA profiles of bioethanol production (unit: 1 ton bioethanol; method: CML-IA baseline V3.02). Table S9. LCIA profiles of bioethanol and lactic acid production (unit: 1 ton Lactic acid; method: CML-IA baseline V3.02). Table S10. LCIA profiles of bioethanol and furfural production (unit: 1 ton Furfural; method: CML-IA baseline V3.02). Table S11. LCIA profiles of butanol production (unit: 1 ton butanol; method: CML-IA baseline V3.02). Table S12. LCIA profiles of methanol production (unit: 1 ton methanol; method: CML-IA baseline V3.02). Table S13. LCIA profiles of FT syncrude production (unit: 1 ton FT syncrude; method: CML-IA baseline V3.02). Table S14. LCIA profiles for comparison of biorefinery scenarios (method: CML-IA baseline V3.02). Table S15. LCIA profiles for comparison of different scenarios for production of 1 tonne bioethanol (method: CML-IA baseline V3.02). Table S16. LCIA profiles for comparison of biorefinery scenarios (method: EI 99H). Figure S1. A schematic diagram of carbon flows through a biorefinery scenario (from sugarcane to final products.