| Key Data Set Information | |
| Location | IT |
| Geographical representativeness description | Lombardy Region. |
| Reference year | 2022 |
| Name |
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| Technical purpose of product or process | Recycling of inert waste deriving from construction and demolition activities in a mobile plant. |
| Synonyms | Riciclo rifiuti C&D in impianto mobile |
| Classification |
Class name
:
Hierarchy level
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| General comment on data set | Dataset developed within the ARCADIA project in the context of the Ph.D. of Federica Carollo (Politecnico di Milano). The dataset relates to recycling 1 tonne of mixed construction and demolition (C&D) waste (EWC 17 09 04) in Italy. The dataset is composed of 9-unit processes: 1) avoided the production of natural aggregates (For C1/C2 and C4 use) (Process: Inert natural mix from Lombardy Region); 2) Water consumption for the waste treatment; 3) Diesel consumption for the waste treatment; 4) Steel-manganese alloy for mill jaws spare parts; 5) Transport of ferrous metals to recovery (0.13% are a ferrous waste). 6) Transport of residual waste in landfills; 7) Transport of the Secondary raw materials (SRMs) produced by the recycling plant to the final use; 8) Output of C&D waste that goes to landfill (Process: Mixed C&D waste, landfill); 9) Output of ferrous metals that goes to sorting (Process: Metals, sorting). |
| Copyright | Yes |
| Owner of data set | |
| Data set LCA report, background info | |
| Quantitative reference | |
| Reference flow(s) |
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| Time representativeness | |
| Data set valid until | 2027 |
| Technological representativeness | |
| Technology description including background system | The C&D waste treatment in mobile recycling facilities consists of a sequence of physical and mechanical steps, including crushing, metal separation, sieving and manual/mechanical sorting to remove the impurities such as wood, paper, and plastic. Mobile plants are fuelled by diesel and usually involve fewer treatment processes (manual sorting is usually adopted, and waste sieving may be optional). Generally, produce all-in aggregates (e.g., classes 0/63 mm, 0/80 mm, 0/90 mm). Good the Reliability; Very Good the Geographical representativeness; Very Good the Time representativeness; Very Good the Technological representativeness. |
| 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 | |||||
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| 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) | 2022-12-03T16:28:53.518+02:00 |
| Data set format(s) | |
| Publication and ownership | |
| UUID | b00102ee-aba9-4097-9a59-32cb56a004ca |
| Date of last revision | 2017-02-16T16:57:27.307Z |
| Data set version | 01.00.000 |
| Permanent data set URI | ../processes/b00102ee-aba9-4097-9a59-32cb56a004ca.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). |