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Process Data set: Rare earth flotation;dysprosium;Bastnaesite/Monazite (B/M);Rare Earth Elements (REE) containing ore (en) en zh

Key Data Set Information
Location CN
Geographical representativeness description Southern China and Bayan Obo
Reference year 2010
Name
Rare earth flotation;dysprosium;Bastnaesite/Monazite (B/M);Rare Earth Elements (REE) containing ore
Use advice for data set Users of this LCA data should consider the allocation method used in the study when applying the data to their own assessments. The allocation, based on the mass of produced REEs combined with their market prices, should be carefully applied to ensure accurate environmental impact evaluations. Users should also pay attention to site-specific data such as ore composition, technological applicability, and region-specific ecological impacts. It is advised to reassess the allocation factor individually for each site to maintain the robustness of comparative analyses.
Technical purpose of product or process The dysprosium acquired through the rare earth flotation process from REE-containing ore is primarily used in the manufacturing of permanent magnets, which are essential components for modern electronic devices, such as electric motors in hybrid vehicles, wind turbines, and hard disk drives. Additionally, dysprosium's unique properties make it suitable for use in nuclear reactors and laser materials.
Classification
Class name : Hierarchy level
  • ILCD: Unit processes / Materials production / Non-energetic raw materials
General comment on data set The dysprosium acquired through the rare earth flotation process from REE-containing ore is primarily used in the manufacturing of permanent magnets, which are essential components for modern electronic devices, such as electric motors in hybrid vehicles, wind turbines, and hard disk drives. Additionally, dysprosium's unique properties make it suitable for use in nuclear reactors and laser materials.
Copyright No
Owner of data set
Quantitative reference
Reference flow(s)
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)
  • QJkUbU1xqovftbx6brScvVp2njb.png Image
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
Type of review
Dependent internal review
Reviewer name and institution
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2024-01-04T18:04:32+08:00
Publication and ownership
UUID 851932fb-b9aa-4af6-9eb3-ec016eb5419f
Date of last revision 2024-04-20T15:07:16.869113+08:00
Data set version 00.01.005
Permanent data set URI https://lcadata.tiangong.world/showProcess.xhtml?uuid=851932fb-b9aa-4af6-9eb3-ec016eb5419f&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
Energy carriers and technologies / Electricity 16.272 MJ16.272 MJ
General comment Electricity mix 2014
Product flow
Materials production / Inorganic chemicals 0.789 kg0.789 kg
General comment Sodium silicate, spray powder, 80 %
Product flow
Materials production / Organic chemicals 0.329 kg0.329 kg
General comment fatty acid, from vegetable oil
Product flow
Materials production / Organic chemicals 0.273 kg0.273 kg
General comment chemical, organic. Precipitant unknown
Product flow
Transport services / Other transport 0.511 t*km0.511 t*km
General comment Transport, freight, lorry >32 metric ton, EURO3, organic chemicals 803 km, other chemicals 20 km

Outputs

Type of flow Classification Flow Location Mean amount Resulting amount Minimum amount Maximum amount
Waste flow
Wastes / Mining waste 2725.0 kg2725.0 kg
General comment Mass calculation from experts of RWTH Aachen University (Stark, 05.08.2015)
Product flow
Materials production / Metals and semimetals 32.1 kg32.1 kg
General comment RE concentrate. input for next process: Roasting