| Literature DB >> 29785206 |
Francesca Pierobon1, Ivan L Eastin1, Indroneil Ganguly1.
Abstract
BACKGROUND: Bio-jet fuels are emerging as a valuable alternative to petroleum-based fuels for their potential for reducing greenhouse gas emissions and fossil fuel dependence. In this study, residual woody biomass from slash piles in the U.S. Pacific Northwest is used as a feedstock to produce iso-paraffinic kerosene, through the production of sugar and subsequent patented proprietary fermentation and upgrading. To enhance the economic viability and reduce the environmental impacts of iso-paraffinic kerosene, two co-products, activated carbon and lignosulfonate, are simultaneously produced within the same bio-refinery. A cradle-to-grave life cycle assessment (LCA) is performed for the residual woody biomass-based bio-jet fuel and compared against the cradle-to-grave LCA of petroleum-based jet fuel. This paper also discusses the differences in the environmental impacts of the residual biomass-based bio-jet fuel using two different approaches, mass allocation and system expansion, to partition the impacts between the bio-fuel and the co-products, which are produced in the bio-refinery.Entities:
Keywords: Activated carbon; Avoided impact; Bio-fuel; Harvest slash; Iso-paraffinic kerosene; LCA; Lignosulfonate; Mass allocation; System expansion; Woody biomass
Year: 2018 PMID: 29785206 PMCID: PMC5950134 DOI: 10.1186/s13068-018-1141-9
Source DB: PubMed Journal: Biotechnol Biofuels ISSN: 1754-6834 Impact factor: 6.040
Fig. 1System boundary of the LCA study of bio-jet fuel with co-products
Equipment characteristics.
Source: ‘Modeling the Processing and Transportation Logistics of Forest Residues Using Life Cycle Assessment’ [32]
| Equipment | Capacity | Productivity (1000 kg h−1) | Fuel consumption (l h−1) |
|---|---|---|---|
| Forwarder | 130 kW | 31.4 | 29.9 |
| Excavator loader | 30 kW | 36.2 | 25.6 |
| Grinder | 560 kW | 45.4 | 96.5 |
| Post-grinder loader | 105 kW | 45.4 | 21.3 |
| Bin truck | 30 m3 | ||
| Chip van | 100 m3 |
Benchmark scenario for road-type-specific transportation distances.
Source: ‘Modeling the Processing and Transportation Logistics of Forest Residues Using Life Cycle Assessment’ [32]
| Road type, avg. speed | Dirt (8 km h−1) | Gravel (24 km h−1) | Highway (72 km h−1) | Total |
|---|---|---|---|---|
| One way haul km | 1.6 | 10 | 68.4 | 80 |
Aggregated mass and energy inputs and outputs for the bio-refinery units.
Source: adapted from ‘Process Design and Economics for Biochemical Conversion of Softwood Lignocellulosic Biomass to Iso-paraffinic Kerosene and Lignin Co-products’ [46]
| Feedstock preparation and pretreatment | Enzymatic hydrolysis | Fermentation and upgrading, pyrolysis unit and lignosulfonate concentration | Wastewater treatment | Boiler | |||||
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| Forest residual | 91,372.9 | Pretreated pulp | 65,507.8 | Hydrolysate | 69,662.7 | Fermentation residual stillage | 8308.0 | Hog fuel | 31,297.9 |
| Sulfur | 2993.7 | Corn steep liquor | 199.6 | Spent sulfite liquor | 24,604.7 | Spent sulfite liquor condensate | 1886.0 | Forest residual fines | 8223.6 |
| Calcium carbonate | 2948.4 | Glucose | 3401.9 | Proprietary inputs [ | 29,057.1 | Chemicals | 43.6 | Pyrolysis vapors | 28,503.7 |
| Sodium hydroxide | 113.4 | Lime | 471.7 | Pyrolysis carrier gas | 27,215.5 | Watera | 546,088.9 | ||
| Watera | 60,920.9 | NH3 | 136.1 | Watera | 587,175.3 | Biogas | 3527.6 | ||
| Process waterb | 291,669.0 | SO2 | 18.1 | Sludge | 5681.5 | ||||
| HTEC enzyme | 263.1 | Combustion air | 27,215.5 | ||||||
| Watera | 129,319.2 | Watera | 27,869.8 | ||||||
| Process water** | 205,196.1 | Steam condensate | 210,367.1 | ||||||
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| Pretreated pulp | 65,507.8 | Hydrolysate | 69,662.7 | IPK | 12,201.6 | Waste water solids | 11.1 | Steam | 210,367.1 |
| Spent sulfite liquor | 24,604.7 | Saccharification vent | 1711.7 | Lignosulfonate | 21,191.8 | Biogas | 3527.6 | Waste | 2421.8 |
| Pretreatment combined vent | 850.9 | Watera | 333,140.0 | Activated carbon | 6797.5 | Sludge | 5681.5 | Emissions to air | 102,028.0 |
| Forest residual fines | 8223.6 | Fermentation residual stillage | 8308.0 | Emissions to air | 1017.0 | Watera | 27,869.8 | ||
| Watera | 350,835.6 | Spent sulfite liquor condensate | 1886.0 | Watera | 25,207.4 | ||||
| Pyrolysis vapors | 28,503.7 | Recycling waterb | 520,881.5 | ||||||
| Emissions to air | 16,104.3 | ||||||||
| Watera | 642,722.2 | ||||||||
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| Steam (kg h−1) | 71,939.7 | Steam (kg h−1) | 444.5 | Steam (kg h−1) | 137,982.8 | Steam (kg h−1) | 0.0 | Steam (kg h−1) | 0.0 |
| Electricity (MWh) | 4.7 | Electricity (MWh) | 0.2 | Electricity (MWh) | 37.5 | Electricity (MWh) | 9.9 | Electricity (MWh) | 2.0 |
aTotal water content of the inputs/outputs
bProcess water added to the system (recycling water from wastewater treatment)
Fig. 2Representation of the LCA system boundary using mass allocation
Fig. 3Representation of the LCA system boundary using system expansion
Fig. 4Results of the contribution analysis using mass allocation (functional unit: 1 GJ)
Fig. 5Results of the contribution analysis using system expansion (functional unit: 1 GJ)
Fig. 6Results of comparative LCA of fossil fuel-based kerosene and IPK based on mass allocation (functional unit: 1 GJ)
Fig. 7Results of comparative LCA of fossil fuel-based kerosene and IPK based on system expansion (functional unit: 1 GJ)
Comparative LCA results using system expansion and mass allocation (functional unit: 1 GJ)
| Impact category | Mass allocation | System expansion | Fossil | ||
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| IPK (100% slash pile burn) | IPK (50% slash pile burn) | IPK (100% slash pile burn) | IPK (50% slash pile burn | Fossil fuel-based kerosene | |
| Global warming, kg CO2 eq | 26.00 | 27.41 | 29.13 | 34.00 | 86.05 |
| Smog, kg O3 eq | 7.42 | 9.57 | 3.57 | 11.03 | 10.03 |
| Acidification, kg SO2 eq | 0.39 | 0.47 | 0.59 | 0.88 | 0.42 |
| Eutrophication, kg N eq | 2.21E−02 | 2.59E−02 | − 1.03E−01 | − 9.02E−02 | 2.24E−02 |
| Carcinogenics, CTUh | − 1.25E−07 | 5.43E−08 | − 6.02E−07 | 1.94E−08 | 1.22E−06 |
| Non carcinogenics, CTUh | 7.56E−06 | 7.56E−06 | 2.51E−05 | 2.51E−05 | 1.19E−05 |
| Respiratory effects, kg PM2.5 eq | − 1.72E−01 | − 6.77E−02 | − 6.45E−01 | − 2.83E−01 | 8.54E−03 |
| Ecotoxicity, CTUe | 47.25 | 47.61 | 161.72 | 162.97 | 234.19 |