Key Data Set Information | |
Location | CN |
Geographical representativeness description | The LCI of Coal-DR is obtained, as shown in Table 9, based on the statistics of the demonstration project in China. |
Name |
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Use advice for data set | When utilizing this LCA data set, users should consider the technological specificity of the data based on coal direct reduction (Coal-DR) methodologies in China. The data must be scaled appropriately if applied to contexts outside of the demonstrated project. Assumptions from simulations, laboratory tests, and process modelling should be critically evaluated especially when comparing with other steel production routes or applying to geographical regions with different energy mixes, technological standards, or environmental regulations. |
Technical purpose of product or process | Crude steel produced through the coal-based direct reduction and continuous casting process is primarily used for structural components, construction materials, manufacturing of machinery, and as a feedstock for further processing into various steel products. |
Classification |
Class name
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Hierarchy level
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General comment on data set | Crude steel produced through the coal-based direct reduction and continuous casting process is primarily used for structural components, construction materials, manufacturing of machinery, and as a feedstock for further processing into various steel products. |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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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 | |||||
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Data generator | |
Data set generator / modeller | |
Data entry by | |
Time stamp (last saved) | 2023-12-28T09:58:41+08:00 |
Publication and ownership | |
UUID | a630973f-6b9e-4e05-be81-f51aab7a81b4 |
Date of last revision | 2024-04-20T15:06:04.906728+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=a630973f-6b9e-4e05-be81-f51aab7a81b4&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 | Materials production / Metals and semimetals | 1000.0 kg | 1000.0 kg | ||||||
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Elementary flow | Resources / Resources from water / Renewable material resources from water | 800.0 m3 | 800.0 m3 | ||||||
Product flow | Energy carriers and technologies / Electricity | 211.32000000000002 MJ | 211.32000000000002 MJ |
Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Product flow | Materials production / Raw materials | 1000.0 kg | 1000.0 kg | ||||||
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