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Process Data set: Rare earth Mining;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 Mining;dysprosium;Bastnaesite/Monazite (B/M);Rare Earth Elements (REE) containing ore
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 : Hierarchy level
  • ILCD: Unit processes / Materials production / Non-energetic raw materials
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)
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) 2024-01-04T18:04:24+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
Product flow
Energy carriers and technologies / Electricity 4.392 MJ4.392 MJ
General comment Value from iron mine, electricity mix 2014
Product flow
Energy carriers and technologies / Crude oil based fuels 10.07 kg10.07 kg
General comment Diesel, burned in diesel-electric generating set. Diesel for mining truck
Product flow
Materials production / Organic chemicals 0.233 kg0.233 kg
General comment Explosive. Blasting, 0.095 kg/t moved rock multiplied with stripping rate.
Product flow
Transport services / Other transport 0.45 t*km0.45 t*km
General comment Diesel 150 km, oil and explosives 929 km. Transport, freight, lorry >32 metric ton, EURO3
Product flow
Transport services / Other transport 1.11 t*km1.11 t*km
General comment Transport, freight train, 1046 km
Product flow
Materials production / Raw materials 0.037 kg0.037 kg
General comment lubricating oil. Adapted to mining rat

Outputs

Type of flow Classification Flow Location Mean amount Resulting amount Minimum amount Maximum amount
Elementary flow
Emissions / Emissions to air / Emissions to air, unspecified 2.75 kg2.75 kg
General comment Dust (PM10), (PM2.5 - PM10), (PM2.5) Particles to air. Based on Arpacioglu and Er (2003) multiplied with stripping rate, distribution of dust analog Althaus et al. (2007a)
Product flow
Materials production / Raw materials 1.324 kg1.324 kg
General comment Radioactive dust. Uranium (U238) [Radioactive emissions to air], based on Th232 and U238 activity in the ore.
Elementary flow
Emissions / Emissions to water / Emissions to fresh water 1492.0 m31492.0 m3
General comment Waste water [other emissions to fresh water, value from Mount Weld rare earth mine adapted to mining area.
Waste flow
Wastes / Mining waste 1226.0 kg1226.0 kg
General comment Non-sulfidic overburden, off-site [Waste], calculation based on stripping rate.
Product flow
Materials production / Raw materials 0.037 kg0.037 kg
General comment lubricating oil, waste. Waste mineral oil [Waste], incineration of hazardous waste is assumed
Product flow
Materials production / Inorganic chemicals 1230.0 kg1230.0 kg
General comment Raw ore. Input for next process: Crushing