Key Data Set Information | |
Location | CN |
Geographical representativeness description | The average operating data of Coal-DR, NG-DR (MID), and NG-DR (ENE) demonstration projects in China are used as the benchmark for the LCI of DR routes. |
Name |
|
Use advice for data set | When using life cycle inventory (LCI) data of the Coal-based Direct Reduction (Coal-DRI) routes, ensure that the data is applicable to the specific geographic location and technological context of your assessment. The LCI data should be consistent with the average operating data of demonstration projects in China. When considering COG-DR and H-DR routes, be aware that the data for these processes is estimated based on Coal-DR combined with literature data and therefore may require additional validation. The projection of these routes for large-scale industrial application should be made with caution due to technological and scale extrapolation risks. |
Technical purpose of product or process | Direct Reduced Iron (DRI) production using the Coal-based Direct Reduction (Coal-DRI) process is typically employed in the steelmaking industry to obtain metallic iron from iron ore without melting the ore. This process uses non-coking coal as a reductant in a solid-state reduction of iron oxides. The DRI produced is often used as a feedstock for electric arc furnaces in steel mills, wherein it is melted to produce steel. |
Classification |
Class name
:
Hierarchy level
|
General comment on data set | Direct Reduced Iron (DRI) production using the Coal-based Direct Reduction (Coal-DRI) process is typically employed in the steelmaking industry to obtain metallic iron from iron ore without melting the ore. This process uses non-coking coal as a reductant in a solid-state reduction of iron oxides. The DRI produced is often used as a feedstock for electric arc furnaces in steel mills, wherein it is melted to produce steel. |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
|
Technological representativeness | |
Flow diagram(s) or picture(s) |
LCI method and allocation | |||||
Type of data set | Unit process, single operation | ||||
Deviation from LCI method principle / explanations | None | ||||
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 | ||||
Data treatment and extrapolations principles | LCI of COG-DR and H-DR routes, which is not scaled-up in China are estimated based on Coal-DR routes combined with literature data from simulations, laboratory tests, and process modeling in Table 9 [49,50]. The LCI of Coal-DR is obtai | ||||
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 | |||||
|
Data generator | |
Data set generator / modeller | |
Data entry by | |
Time stamp (last saved) | 2023-12-28T09:58:48+08:00 |
Publication and ownership | |
UUID | c3c2bc89-cf07-4d8d-a73d-04b9f2d51b5b |
Date of last revision | 2024-04-20T15:06:04.944957+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=c3c2bc89-cf07-4d8d-a73d-04b9f2d51b5b&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 | ||
---|---|---|---|---|---|---|---|---|---|
Product flow | Materials production / Raw materials | 1357.3 kg | 1357.3 kg | ||||||
| |||||||||
Elementary flow | Resources / Resources from water / Renewable material resources from water | 400.0 m3 | 400.0 m3 | ||||||
| |||||||||
Product flow | Energy carriers and technologies / Heat and steam | 167.9 MJ | 167.9 MJ | ||||||
| |||||||||
Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 299.5 kg | 299.5 kg | ||||||
| |||||||||
Product flow | Energy carriers and technologies / Lignite based fuels | 608.6 kg | 608.6 kg | ||||||
| |||||||||
Product flow | Materials production / Other mineralic materials | 230.0 kg | 230.0 kg | ||||||
| |||||||||
Product flow | Energy carriers and technologies / Electricity | 478.44000000000005 MJ | 478.44000000000005 MJ | ||||||
|
Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
---|---|---|---|---|---|---|---|---|---|
Product flow | Materials production / Metals and semimetals | 1000.0 kg | 1000.0 kg | ||||||
| |||||||||
Elementary flow | Emissions / Emissions to air / Emissions to urban air close to ground | 3.5 kg | 3.5 kg | ||||||
| |||||||||
Product flow | Materials production / Raw materials | 1.1 kg | 1.1 kg | ||||||
| |||||||||
Product flow | Wastes / Production residues | 14.4 kg | 14.4 kg | ||||||
| |||||||||
Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 0.5 kg | 0.5 kg | ||||||
| |||||||||
Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 177.6 kg | 177.6 kg | ||||||
|