Key Data Set Information | |
Location | IT |
Geographical representativeness description | Italy. Primary data collected from leading glass producers active on national context. Dataset representative of Italian production of float glass pane. |
Reference year | 2021 |
Name |
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Technical purpose of product or process | Float glass is used as product applied into windows of building sector. Float glass is also intended for further processing (e.g. coating, lamination) and assemblies (e.g. insulated glass unit). Final product is applied into windows of building sector. |
Synonyms | Vetro float, alla produzione |
Classification |
Class name
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Hierarchy level
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General comment on data set | Dataset developed within the ARCADIA Project (production chain study regarding glass products for windows “PRODUZIONE DI LASTRE E SISTEMI IN VETRO PER INFISSI E SERRAMENTI”). The dataset refers to the production of float glass pane, representative of the Italian average processing technologies commonly used for glass production. The data set covers relevant process steps / technologies over the supply chain of the represented cradle to gate inventory with a good overall data quality. The inventory is based on primary data for the Float glass production, and on secondary data (literature and/or LCI datasets) representative of Italian supply chain. Float glass is used in windows for the building sector or in further processing and assembling. Dimensions: surface 1 m2, thickness 4 mm. |
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 | 2026 |
Technological representativeness | |
Technology description including background system | Float glass is a clear, flat soda lime silicate glass with parallel surfaces. The production process begins with the transport and mixing of raw materials (silica sand, soda ash, dolomite, etc.) and their melting in a furnace. The molten glass is fed into a bath of molten tin, where serrated wheels pull and push the glass sideways depending on the desired thickness. The resulting float glass passes through a controlled cooling tunnel, exiting the lehr at room temperature. The glass is then cut lengthwise and crosswise, performing automatic inspections on regular samples to check the quality of the glass at each step in the glassmaking process. The sheets of float glass are finally packed and stored in the warehouse. Waste treatment and their transport to facilities is included and reflect the Italian waste treatments routes. The system boundary considers A1 “procurement of raw materials”, A2 “transport”, A3 “production”, according to EN15804:2012+A1:2013 standard. The Cradle-to-gate analysis includes the input of materials, energy, water and the outputs of waste, emissions and transport related to the considered system boundary. Equipment and infrastructures are not included in the foreground but accounted for in the background system. Primary data (from leading glass producers) and secondary data (from established database) representative of Italian supply chain for the geographical characteristics and technologies used were collected. Inventory data have been collected as physical quantities of resources (materials and energy) used in the different processes. The benefits from the production and use of energy from incineration and landfill were excluded, as well as those deriving from the use of secondary materials produced from recycling of waste materials. Background data were modelled according to Ecoinvent v.3.6. |
Flow diagram(s) or picture(s) |
LCI method and allocation | ||||||||||||
Type of data set | Partly terminated system | |||||||||||
LCI Method Principle | Attributional | |||||||||||
LCI method approaches |
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Data sources, treatment and representativeness | ||||||||||||
Data cut-off and completeness principles | Production of equipment and infrastructures is not included, except for the background system. | |||||||||||
Deviation from data cut-off and completeness principles / explanations | None for the inventory. Completeness related to elementary flows cannot be evaluated. | |||||||||||
Data selection and combination principles | Good consistency of data and modelling. The primary activity data are used with Ecoinvent database 3.6, cut-off. Data gaps in the foreground model are filled with data from Ecoinvent database. The exchanges are judged by experts to be representative for the glass supply chain at national level. The LCA study is based on the following assumptions: - electricity entirely from national grid; - water entirely from tap water; - packaging includes wooden pallets and paper; - wastes include a share of packaging materials; - output transports consider a distance of 20 km for waste intended for landfill and a distance of 160 km for waste intended for recycling plant. | |||||||||||
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 | ||||||||||||
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Compliance Declarations |
Compliance |
Compliance system name
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Approval of overall compliance
Fully compliant |
Nomenclature compliance
Not defined |
Methodological compliance
Fully compliant |
Review compliance
Fully compliant |
Documentation compliance
Not defined |
Quality compliance
Not defined |
Compliance |
Compliance system name
|
Approval of overall compliance
Fully compliant |
Nomenclature compliance
Not defined |
Methodological compliance
Fully compliant |
Review compliance
Not defined |
Documentation compliance
Fully compliant |
Quality compliance
Not defined |
Commissioner and goal | |
Commissioner of data set | |
Project | Arcadia – PON Governance e Capacità istituzionali 2014-2020. |
Intended applications | None. |
Data generator | |
Data set generator / modeller | |
Data entry by | |
Time stamp (last saved) | 2023-03-31T12:25:03.746+02:00 |
Data set format(s) | |
Publication and ownership | |
UUID | 1c27da2a-b90d-4066-ae8f-b60c6711e93f |
Date of last revision | 2022-10-14T11:10:37.585Z |
Data set version | 01.00.000 |
Permanent data set URI | ../processes/1c27da2a-b90d-4066-ae8f-b60c6711e93f.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 License (ODbL) |