| Key Data Set Information | |
| Location | IT |
| Geographical representativeness description | Lombardy Region. |
| Reference year | 2022 |
| Name |
|
| Technical purpose of product or process | Sorting of a tonne of ferrous metals. |
| Synonyms | Selezione metalli ferrosi |
| Classification |
Class name
:
Hierarchy level
|
| General comment on data set | The ferrous metals separated during the treatment are sent for recovery for the production of 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 hypothesized that metal waste is sent to a plant in which first a 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 equal to 10 km, data obtained from the analysis of the MUDs of the recycling plants that declare the quantity of ferrous metals separated during treatment and their respective fate. The rejects of the first selection phase a metal waste is subjected to are disposed of in landfills for aggregates, assuming that they are composed from cement residues adhered to the iron bars. The transport of ferrous metals from C&D recycling plants to 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). |
| 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 based on 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 supposed 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. The rejects of the first metal waste selection phase are 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. |
| Included data sets | |
| LCI method and allocation | |||||
| Type of data set | Partly terminated system | ||||
| LCI Method Principle | Attributional | ||||
| LCI method approaches |
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| 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 | |||||
| |||||
| Compliance Declarations | |||||
| Compliance |
Compliance system name
|
Approval of overall compliance
Fully compliant |
Nomenclature compliance
Not defined |
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) | 2022-12-03T16:39:33.841+02:00 |
| Data set format(s) | |
| Publication and ownership | |
| UUID | 57081712-732e-4f8e-b34a-c58e11059a21 |
| Date of last revision | 2011-02-26T14:35:50.843Z |
| Data set version | 01.00.000 |
| Permanent data set URI | ../processes/57081712-732e-4f8e-b34a-c58e11059a21.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). |