| 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 1 kg of gypsum-based materials. |
| Synonyms | Riciclo materiali a base di gesso a uso fanghi. |
| 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 the recycling of 1 kg of gypsum-based materials. The dataset is composed of 6-unit processes: 1) Avoided production of thermomechanical pulp; 2) Avoided production of natural gypsum for sludge use (Process: Natural gypsum, sludge use); 3) Diesel consumption; 4) Transports; 5) Electricity consumption; 6) Iron and steel recycling (Process: Iron and Steel Recycling, without sorting). |
| Copyright | Yes |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) |
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| Time representativeness | |
| Data set valid until | 2027 |
| Technological representativeness | |
| Technology description including background system | The treatment gives gypsum powder with a particle size distribution from 8 mm to 0.063 mm. The overall mass balance of the plant is: - 83.9% powdered gypsum, which is exclusively intended for use in the production of defecation gypsum in place of natural gypsum. The substitution ratio is 1:0.9. - 15.2% of cellulosic waste is derived from the separation of cardboard. The separated paper is sent to the nearest paper mill, where it will be used in place of thermomechanical virgin pulp, depending on the quality of the separated flow (98.7%) and the substitution ratio (1: 0.833). - 0.02% ferrous metals. The ferrous metals are sent directly to the steel mill, without any intermediate selection step, to produce secondary steel, which will be used in place of primary steel. - 0.88% process losses (which are not modeled). 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 | |||||
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| Compliance Declarations | |||||
| Compliance |
Compliance system name
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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) | 2022-12-03T13:36:00.281+02:00 |
| Data set format(s) | |
| Publication and ownership | |
| UUID | 7eda6245-a637-4697-9f4e-03fdbfefb8b6 |
| Date of last revision | 2022-05-27T14:58:49.590Z |
| Data set version | 01.00.000 |
| Permanent data set URI | ../processes/7eda6245-a637-4697-9f4e-03fdbfefb8b6.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). |