Key Data Set Information | |
Location | CN |
Name |
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Use advice for data set | When utilizing the LCA data set for hydrothermal liquefaction of biomass jet fuel, it is critical that users allocate environmental impact values prudently. The dataset requires energy allocation for proper accounting, where the impacts are divided proportionally based on the energy content of the jet fuel and other ancillary fuels produced. Specifically, the allocation should reflect the energy content per megajoule of jet fuel production. Methodological attention should also be given to analyzing the complete two-stage process - biomass liquefaction and bio-oil hydrogenation - to ensure a full life cycle assessment. Users must consider technological applicability assumptions, especially when generalizing the data for different scales or contexts outside the provided parameters. |
Technical purpose of product or process | The hydrothermal liquefaction of biomass to produce jet fuel is a process wherein water is used as a solvent to transform cellulosic biomass into bio-jet fuel. Operating at conditions between 250-550 °C and pressures of 5-25 MPa, this technique is relevant for generating renewable aviation fuel. The process is typically segmented into two primary phases: the liquefaction of biomass and subsequent hydrogenation of the resulting bio-oil. This biomass-derived jet fuel is intended for use as a sustainable energy source within the aviation industry, primarily aimed at reducing the carbon footprint of air transportation. |
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General comment on data set | The pathway is capable of using water as a medium to convert cellulosic biomass into bio-jet oil under reaction conditions of 250-550 °C and 5-25 MPa. Hydrothermal liquefaction technology is mainly divided into two stages, namely biomass liquefaction and bio-oil hydrogenation stage. |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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Functional Unit | 1 MJ aviation fuel |
Technological representativeness | |
Flow diagram(s) or picture(s) | |
Mathematical model | |
Model description | Build a simulation model of the complete process using Aspen Plus software and perform simulation calculations to obtain the mass flow, energy flow, thermodynamic parameters, and reactor power consumption of each process based on mass balance |
LCI method and allocation | |||||
Type of data set | Unit process, black box | ||||
LCI Method Principle | Attributional | ||||
Deviation from LCI method principle / explanations | None | ||||
Deviations from LCI method approaches / explanations | Allocate environmental impact values according to energy allocation, that is, during the emission allocation process, allocate the energy of aviation fuel and other fuels to each MJ of aviation fuel production | ||||
Deviation from modelling constants / explanations | None | ||||
Data sources, treatment and representativeness | |||||
Deviation from data cut-off and completeness principles / explanations | None | ||||
Deviation from data selection and combination principles / explanations | None | ||||
Deviation from data treatment and extrapolations principles / explanations | None | ||||
Data source(s) used for this data set | |||||
Completeness | |||||
Completeness of product model | No statement | ||||
Validation | |||||
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Data generator | |
Data set generator / modeller | |
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Time stamp (last saved) | 2024-03-20T20:22:22+08:00 |
Publication and ownership | |
UUID | 42b76a15-ec2d-4501-b382-d33012013580 |
Date of last revision | 2024-04-20T14:38:42.648615+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=42b76a15-ec2d-4501-b382-d33012013580&version=01.00.000&stock=TianGong |
Owner of data set | |
Copyright | No |
License type | Free of charge for all users and uses |
Inputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount |
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Product flow | Energy carriers and technologies / Electricity | 0.02628 MJ | 0.02628 MJ | ||||
Product flow | Energy carriers and technologies / Electricity | 0.03492 MJ | 0.03492 MJ | ||||
Elementary flow | Resources / Resources from water / Renewable material resources from water | 0.096 m3 | 0.096 m3 | ||||
Product flow | Energy carriers and technologies / Electricity | 0.008280000000000001 MJ | 0.008280000000000001 MJ |
Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Elementary flow | Resources / Resources from water / Renewable material resources from water | 0.1 m3 | 0.1 m3 | ||||||
Elementary flow | Resources / Resources from water / Renewable material resources from water | 0.0058 m3 | 0.0058 m3 | ||||||
Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 6.6E-5 kg | 6.6E-5 kg | ||||||
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Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 6.8E-6 kg | 6.8E-6 kg |