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 utilizing this LCA data for the production of dysprosium, it is important to consider the allocation method based on both the mass and market prices of the rare earth elements (REEs) extracted. As the ores from different sources vary in composition, the allocation factor must be assessed on a case-by-case basis. The functional unit of comparison should be consistent (1 kg Dy in this case). Ensure that methodological assumptions like system boundaries, data quality, and recycling considerations are accounted for and applied uniformly across the different sources in the comparative analysis. |
Technical purpose of product or process | Dysprosium extracted from rare earth mining operations is utilized for its unique magnetic properties in various advanced technological applications. This includes manufacturing of components for electric motors in electric vehicles, wind turbines, and hard disk drives as well as in high-performance magnets and lasers. |
Classification |
Class name
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Hierarchy level
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General comment on data set | Dysprosium extracted from rare earth mining operations is utilized for its unique magnetic properties in various advanced technological applications. This includes manufacturing of components for electric motors in electric vehicles, wind turbines, and hard disk drives as well as in high-performance magnets and lasers. |
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) | 2024-01-04T18:04:24+08:00 |
Publication and ownership | |
UUID | af697aa5-ff5d-40af-82e4-3171bfe01e54 |
Date of last revision | 2024-04-20T15:07:16.855105+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=af697aa5-ff5d-40af-82e4-3171bfe01e54&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 | 4.392 MJ | 4.392 MJ | ||||||
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Product flow | Energy carriers and technologies / Crude oil based fuels | 10.07 kg | 10.07 kg | ||||||
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Product flow | Materials production / Organic chemicals | 0.233 kg | 0.233 kg | ||||||
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Product flow | Transport services / Other transport | 0.45 t*km | 0.45 t*km | ||||||
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Product flow | Transport services / Other transport | 1.11 t*km | 1.11 t*km | ||||||
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Product flow | Materials production / Raw materials | 0.037 kg | 0.037 kg | ||||||
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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 | 2.75 kg | 2.75 kg | ||||||
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Product flow | Materials production / Raw materials | 1.324 kg | 1.324 kg | ||||||
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Elementary flow | Emissions / Emissions to water / Emissions to fresh water | 1492.0 m3 | 1492.0 m3 | ||||||
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Waste flow | Wastes / Mining waste | 1226.0 kg | 1226.0 kg | ||||||
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Product flow | Materials production / Raw materials | 0.037 kg | 0.037 kg | ||||||
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Product flow | Materials production / Inorganic chemicals | 1230.0 kg | 1230.0 kg | ||||||
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