Key Data Set Information | |
Location | CN |
Geographical representativeness description | Southern China and Bayan Obo |
Reference year | 2010 |
Name |
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Use advice for data set | When using this LCA data set for the assessment of environmental impacts related to the production of dysprosium, it is imperative to apply an allocation method based on the mass of produced REEs combined with their market prices. Due to varying ore compositions across different sites, allocation factors must be assessed individually for each location. Ensure that the methodological approach is consistent with the established international guidelines for Life Cycle Assessment. Pay special attention to system boundary definitions and the allocation procedures due to the economic significance of dysprosium and other REEs extracted in conjunction. |
Technical purpose of product or process | The rare earth crushing and milling process of dysprosium is intended for the extraction and processing of REE containing ore, specifically targeting the production of dysprosium from ores in Southern China and Bayan Obo regions. Dysprosium is commonly used in the manufacturing of permanent magnets, which are critical components in various high-tech applications including electric motors, wind turbine generators, and advanced electronics. |
Classification |
Class name
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Hierarchy level
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General comment on data set | The rare earth crushing and milling process of dysprosium is intended for the extraction and processing of REE containing ore, specifically targeting the production of dysprosium from ores in Southern China and Bayan Obo regions. Dysprosium is commonly used in the manufacturing of permanent magnets, which are critical components in various high-tech applications including electric motors, wind turbine generators, and advanced electronics. |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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Functional Unit | The goal of this investigation is to compare environmental impacts related to the production of 1 kg Dy (functional unit) from IAC (Southern China), from B/M ore (Bayan Obo), and from an eudialyte deposit (Norra Kärr) using the LCA method |
Time representativeness | |
Data set valid until | 2019 |
Technological representativeness | |
Technology description including background system | The goal of this investigation is to compare environmental impacts related to the production of 1 kg Dy (functional unit) from IAC (Southern China), from B/M ore (Bayan Obo), and from an eudialyte deposit (Norra Kärr) using the LCA method |
Flow diagram(s) or picture(s) |
LCI method and allocation | |||||
Type of data set | Unit process, single operation | ||||
LCI Method Principle | Attributional | ||||
Deviation from LCI method principle / explanations | None | ||||
Deviations from LCI method approaches / explanations | In this study, an allocation method based on the mass of produced REEs combined with their market prices (based on an international metals market analysis and pricing index company ) are considered, as usual for metals with strongly different prices. As the ores have different compositions, the allocation factor has to be assessed individually for each site. | ||||
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 | |
Data entry by | |
Time stamp (last saved) | 2024-01-04T18:04:28+08:00 |
Publication and ownership | |
UUID | e9daf471-28f2-4402-9570-e16422e507d0 |
Date of last revision | 2024-04-20T15:07:16.862194+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=e9daf471-28f2-4402-9570-e16422e507d0&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 | 7.632000000000001 MJ | 7.632000000000001 MJ | ||||||
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Product flow | Materials production / Raw materials | 0.043 kg | 0.043 kg | ||||||
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Product flow | Transport services / Other transport | 8.4E-4 t*km | 8.4E-4 t*km | ||||||
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Product flow | Energy carriers and technologies / Electricity | 55.188 MJ | 55.188 MJ | ||||||
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Product flow | Energy carriers and technologies / Electricity | 0.7200000000000001 MJ | 0.7200000000000001 MJ | ||||||
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Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 3.777 kg | 3.777 kg | ||||||
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Product flow | Materials production / Raw materials | 5.46 kg | 5.46 kg | ||||||
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Product flow | Materials production / Raw materials | 1.37 kg | 1.37 kg | ||||||
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Elementary flow | Resources / Resources from water / Renewable material resources from water | 1335.0 m3 | 1335.0 m3 | ||||||
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Product flow | Transport services / Other transport | 0.0273 t*km | 0.0273 t*km | ||||||
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Product flow | Materials production / Metals and semimetals | 183.12 kg | 183.12 kg | ||||||
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Product flow | Materials production / Inorganic chemicals | 612.0 kg | 612.0 kg | ||||||
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Product flow | Materials production / Inorganic chemicals | 1.77 kg | 1.77 kg | ||||||
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Waste flow | Wastes / Mining waste | 365.0 kg | 365.0 kg | ||||||
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Product flow | Materials production / Metals and semimetals | 2770.0 kg | 2770.0 kg | ||||||
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