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Process Data set: Metals, recycling (en) en

Key Data Set Information
Location IT
Geographical representativeness description Lombardy Region.
Reference year 2022
Name
Metals, recycling
Technical purpose of product or process Recycling of a tonne of ferrous metals.
Synonyms Riciclo metalli ferrosi
Classification
Class name : Hierarchy level
  • ILCDCategories: End-of-life treatment / Material recycling
General comment on data set Dataset developed within the ARCADIA project in the context of the PhD of Federica Carollo (Politecnico di Milano). The dataset relates to the recycling of 1 tonne of ferrous metals. The dataset is composed of 2-unit processes: 1) Avoided production of primary steel (replacement ratio 1:1); 2) Secondary steel production.
Copyright Yes
Owner of data set
Data set LCA report, background info
Quantitative reference
Reference flow(s)
Time representativeness
Data set valid until 2027
Technological representativeness
Technology description including background system The ferrous metals separated during the treatment are sent for recovery to produce secondary steel after a preliminary phase of selection and pressing carried out in metal sorting plants. The treatment of ferrous metals is simulated in SimaPro through a process built ad hoc on the basis of work by Rigamonti et al. (2015) in which it was hypothesised that metal waste is sent to a plant in which the first sorting of the material is made (efficiency 91%) and then the actual one recycling operation (efficiency 88.1%); the substitution ratio between secondary and primary steel is assumed 1:1 by mass. The distance for the delivery of metal waste to the sorting plant was assumed to equal 10 km, data obtained from the analysis of the MUDs of the recycling plants that declare the number of ferrous metals separated during treatment and their respective fate. Metal waste is subjected to being disposed of in landfills for aggregates, assuming that they are composed of cement residues adhered to the iron bars. The transport of ferrous metals from C&D recycling plants to the sorting of waste from selection to landfill and of metals from selection to the mill take place through large trucks> 32 tons (of which 50% Euro3 and 50% Euro4), for a distance equal to 50 km (Rigamonti et al., 2015). Good the Reliability; Very Good the Geographical representativeness; Very Good the Time representativeness; Very Good the Technological representativeness.
Mathematical model
Model description Constant and calculated process parameters
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LCI method and allocation
Type of data set Partly terminated system
LCI Method Principle Attributional
LCI method approaches
  • Allocation - mass
LCA methodology report
Data sources, treatment and representativeness
Documentation of data quality management
Data source(s) used for this data set
Completeness
Completeness of product model All relevant flows quantified
Validation
Type of review Data quality indicators
Not reviewed
  • Overall quality: Good
  • Methodological appropriateness and consistency: Good
  • Precision: Good
  • Completeness: Good
  • Geographical representativeness: Good
  • Time representativeness: Good
  • Technological representativeness: Good
Compliance Declarations
Compliance
Compliance system name
Approval of overall compliance
Fully compliant
Nomenclature compliance
Fully compliant
Methodological compliance
Fully compliant
Review compliance
Fully compliant
Documentation compliance
Fully compliant
Quality compliance
Fully compliant
Compliance
Compliance system name
Approval of overall compliance
Fully compliant
Nomenclature compliance
Fully compliant
Methodological compliance
Fully compliant
Review compliance
Fully compliant
Documentation compliance
Fully compliant
Quality compliance
Fully compliant
Commissioner and goal
Commissioner of data set
Project Arcadia – PON Governance e Capacità istituzionali 2014-2020 (PhD Project of Federica Carollo).
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2022-12-03T16:37:55.504+02:00
Data set format(s)
Publication and ownership
UUID dbebec4a-f012-4e2b-b7a2-e53b9ba91ed7
Date of last revision 2011-02-26T14:39:15.687Z
Data set version 01.00.000
Permanent data set URI ../processes/dbebec4a-f012-4e2b-b7a2-e53b9ba91ed7.xml
Owner of data set
Copyright Yes
License type Free of charge for all users and uses
Access and use restrictions Type of license: Open Database Licence (ODbL).
Access to the data set is restricted to metadata only. Please register to get full access to the data set.