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. |
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Use advice for data set | When using this LCI data set for the direct reduction iron (DRI) route, it is crucial to reference the average operating data from relevant Chinese demonstration projects. The methodological advice includes ensuring that modeling reflects the specific technological applications and energy inputs outlined for the COG-DR and H-DR routes, with consideration of the scalability within the Chinese context. The data should be utilized with attention to the fact that it includes estimates from simulations, laboratory tests, and process modeling, and thus may require adjustment when applied to contexts or technological setups outside of those studied. Additionally, when considering the LCI data for inclusion in comprehensive environmental assessments, ensure that system boundaries are properly defined, especially regarding the inclusion or exclusion of subsequent recycling processes. |
Technical purpose of product or process | The described process refers to the production of Direct Reduced Iron (DRI) using coal-based direct reduction processes. Typically, this DRI production is part of the steelmaking industry, where it serves as a cleaner, alternative iron source to traditional blast furnace methods. The process utilizes by-product gas from coke ovens (Coke Oven Gas, COG) in a Direct Reduction Iron (DRI) generation process. It applies to industrial steel production facilities seeking to reduce their dependency on coking coal and increase their energy efficiency and lower their greenhouse gas emissions. |
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General comment on data set | The described process refers to the production of Direct Reduced Iron (DRI) using coal-based direct reduction processes. Typically, this DRI production is part of the steelmaking industry, where it serves as a cleaner, alternative iron source to traditional blast furnace methods. The process utilizes by-product gas from coke ovens (Coke Oven Gas, COG) in a Direct Reduction Iron (DRI) generation process. It applies to industrial steel production facilities seeking to reduce their dependency on coking coal and increase their energy efficiency and lower their greenhouse gas emissions. |
Copyright | No |
Owner of data set | |
Quantitative reference | |
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Technological representativeness | |
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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 | ||||
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Data generator | |
Data set generator / modeller | |
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Time stamp (last saved) | 2023-12-28T09:58:48+08:00 |
Publication and ownership | |
UUID | 7d402836-d268-481a-bb50-43827a83d597 |
Date of last revision | 2024-04-20T15:06:04.930931+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=7d402836-d268-481a-bb50-43827a83d597&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 / Raw materials | 1357.3 kg | 1357.3 kg | ||||||
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Elementary flow | Resources / Resources from water / Renewable material resources from water | 900.0 m3 | 900.0 m3 | ||||||
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Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 25.0 kg | 25.0 kg | ||||||
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Product flow | Energy carriers and technologies / Hard coal based fuels | 589.7 kg | 589.7 kg | ||||||
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Product flow | Energy carriers and technologies / Electricity | 733.3199999999999 MJ | 733.3199999999999 MJ | ||||||
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Outputs
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 | Emissions / Emissions to air / Emissions to air, unspecified | 0.1 kg | 0.1 kg | ||||||
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Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 170.0 kg | 170.0 kg | ||||||
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