Key Data Set Information | |
Location | EU+EFTA+UK |
Geographical representativeness description | European dataset. Representative data for Europe has been used for the foreground and background systems. |
Reference year | 2012 |
Name |
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Use advice for data set | Notice: this data set supersedes the EF3.0-compliant version (see link under "preceding data set version" below calculated with the EF3.0). The life cycle inventory is not changed from the original EF3.0 data set. The LCIA results are calculated based on the EF3.1 methods which provide updated characterisation factors in the following impact categories: Climate Change, Ecotoxicity freshwater, Photochemical Ozone Formation, Acidification, Human Toxicity non-cancer, and Human Toxicity cancer. The review report and the data quality ratings refer to the original results. The data set has been updated by the European Commission on the basis of the original EF3.0 data set delivered by the data provider. |
Classification |
Class name
:
Hierarchy level
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General comment on data set | This sub-process has limited documentation only. For all detailed documentation of the full model to which this data set belongs (such as DQRs, review reports and other technical documentation), please see aggregated process: Alkyd resin (thixotropic polyurethane) (fb5376e6-4649-4396-8165-b2d22e0bad2e) |
Copyright | Yes |
Owner of data set | |
Quantitative reference | |
Reference flow(s) | |
Time representativeness | |
Data set valid until | 2024 |
Time representativeness description | Annual average data. No intra-annual or intra-daily differences have been made. Representative data for the year 2012 has been used. Data set valid until end of 2024. |
Technological representativeness |
LCI method and allocation | |
Type of data set | Unit process, single operation |
LCI Method Principle | Attributional |
Deviation from LCI method principle / explanations | None |
LCI method approaches |
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Deviations from LCI method approaches / explanations | No multi-product problems are identified in the foreground system. In the background system, multi-product datasets are converted to single-product datasets with the help of database wide modelling rules, by partitioning. After the handling of wastes and recyclable materials, allocation takes place over all remaining products produced within the activity. By default, it allocates exchanges from multi-output processes according to their revenue. The EoL formula (version in Annex V of the Commission Recommendation of 9 April 2013) is implemented in foreground at level-1aggregated processes to allocate end-of-life products and secondary materials. The background data use the “Recycled content cut-off” approach. This allocation is explained in the description of the recycled content system model (http://www.ecoinvent.org/database/system-models-in-ecoinvent-3/cut-off-system-model/allocation-cut-off-by-classification.html). |
Modelling constants | Direct Land Use change: Land use is inventoried through the use of data on: • Land occupation for the current land use (the occupied land is prevented from changing to a more natural state). • Land transformation (from previous land use and to current land use, e.g., the conversion of a former natural area to industrial land; the conversion of a gravel quarry to a natural area by active re-cultivation). Direct land use change is accounted for on the basis of a 20 year time period and implemented in the calculation of Climate Change according to the PAS2050-1:2012 method and Land Use. It should be noted that the land use classes are not intended to capture specific emissions, such as the CO2 emissions after forest clearing. Such emissions are therefore separately included in the datasets for the specific crops that are grown on such recently transformed land. Carbon storage and delayed emissions: All emissions are considered and therefore no credits are given. Emissions off-setting: No offsets are considered. Time period: No time discounting is reported. Emissions and removals are modelled as if released or removed at the beginning of the assessment method. GHG Emission fossil: All GHG emissions from fossil fuels (including peat and limestone) are modelled consistently with the most updated ILCD list of elementary flows. Carbon emissions and uptakes (biogenic): A distinction is made between fossil and non-fossil sources of CO2, CO and CH4. The sources of fossil carbon are the resource inputs of fossil fuels, peat, and mineral carbonates . The resource consumption of “Carbon dioxide, in air” is calculated from the carbon in harvested plants and wild animals and increases in carbon stored in soils and plants. The latter is recorded as an output of “Carbon dioxide, to soil or biomass stock”. “Carbon dioxide, in air” is the only source of non-fossil carbon, which is mainly captured through the biological photosynthesis. Carbon emissions and uptakes – land use and transformation: Reductions in the carbon stored in soils and the release of carbon from the burning of biomass residues in connection to land transformation, e.g. the clear-cutting of primary forests, are recorded in the elementary exchange (resource) “Carbon, organic, in soil or biomass stock”. All of this input is included in the corresponding emissions of Carbon dioxide, Carbon monoxide, and Methane, all with the addition “…, from soil or biomass stock”, and therefore does not contribute to any carbon content of any intermediate exchanges (Overview and methodology Ecoinvent. Section 5.6.2 Fossil and non-fossil carbon). |
Deviation from modelling constants / explanations | None |
Data sources, treatment and representativeness | |
Data cut-off and completeness principles | Cut-offs: LCI modelling has been done based on literature sources, theoretical models and by adapting available data sets from databases. When modelling production of chemicals, a number of general assumptions have been used together with stoichiometric calculations. The models include impacts of infrastructure, yield, heat and electricity and water. At primary level, datasets are complete as the sources allow. No strict quantitative cut-off rule is followed in the background sources. No predefined, limited list of elementary exchanges is applied. Full completeness in elementary exchanges is aimed for. The cut-off rule threshold of 95% is satisfied. Capital goods (including infrastructures) and their End of Life: The activity datasets for infrastructure production (infrastructure datasets) include the maintenance of the infrastructure during its lifetime, its land occupation and land transformation, and its decommissioning for waste treatment. System boundaries: System boundaries include all processes linked to the product supply chain, i.e. extraction, production, transport, consumption and waste treatment activities. |
Deviation from data cut-off and completeness principles / explanations | None |
Data selection and combination principles | Data is consistently based on literature sources, theoretical models and adapted datasets from databases. The relevant background data on energy and transport are from the existing LCDN data node provided specifically for the EF pilot projects (http://lcdn.thinkstep.com/Node/). All other background data in the supply chain of this product are from the ecoinvent v3.3 database (www.ecoinvent.org). |
Deviation from data selection and combination principles / explanations | None |
Data treatment and extrapolations principles | No adjustments and extrapolations are performed at primary level. |
Deviation from data treatment and extrapolations principles / explanations | None |
Percentage supply or production covered | 0 % |
Completeness | |
Completeness of product model | All relevant flows quantified |
Supported impact assessment methods |
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Completeness elementary flows, per topic |
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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
Not defined |
Compliance |
Compliance system name
|
Approval of overall compliance
Not defined |
Nomenclature compliance
Fully compliant |
Methodological compliance
Not defined |
Review compliance
Not defined |
Documentation compliance
Not defined |
Quality compliance
Not defined |
Commissioner and goal | |
Commissioner of data set | |
Project | Provision of "Chemicals for paints" process-based product environmental footprint-compliant life cycle inventory datasets. Contract number: 070201/2019/819371/SER/ENV.B.l. |
Intended applications | To be used in the implementation of a regular Product Environmental Footprint (PEF) studies and Organisation Environmental Footprint (OEF) studies exclusively under the specified Product groups and sectors as defined in the Product Environmental Footprint Category Rules (PEFCR) and Organisation Environmental Footprint Sectorial Rules (OEFSR) listed in http://ec.europa.eu/environment/eussd/smgp/PEFCR_OEFSR.htm and in accordance with the terms and conditions of the EULA exclusively until 31st December 2024. |
Data generator | |
Data set generator / modeller | |
Data entry by | |
Time stamp (last saved) | 2022-11-21T07:19:15.41+01:00 |
Data set format(s) | |
Data entry by | |
Publication and ownership | |
UUID | 78e5fef6-6bd6-48ea-85d8-e19348f5b547 |
Date of last revision | 2022-01-28T07:59:32+01:00 |
Data set version | 03.01.000 |
Preceding Data set version | |
Workflow and publication status | Data set finalised; entirely published |
Owner of data set | |
Copyright | Yes |
Reference to entities with exclusive access | |
License type | Free of charge for some user types or use types |
Access and use restrictions | To be used for the implementation of regular Product Environmental Footprint (PEF) studies and Organisation Environmental Footprint (OEF) studies exclusively under the specified Product groups and sectors as defined in the Product Environmental Footprint Category Rules (PEFCR) and Organisation Environmental Footprint Sectorial Rules (OEFSR) listed in http://ec.europa.eu/environment/eussd/smgp/PEFCR_OEFSR.htm and in accordance with the terms and conditions of the EULA (available at https://lcdn-cepe.org/) exclusively until 31st December 2024. Any use of this dataset or any derivative data not within the specific context of one of the PEF/OEF projects or after the end of 2024 is not permitted. |
Inputs
Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount |
---|---|---|---|---|---|---|---|
Product flow | Other Services / Other services | 1.0 kg | 1.0 kg |
LCIA Method Data set | Mean amount | Unit | Kommentar |
---|---|---|---|
0.0
| mol H+ equivalents | ||
0.0
| kg CO2 Equivalents | ||
0.0
| disease incidence | ||
0.0
| CTUe | ||
0.0
| kg N equivalents | ||
0.0
| kg P equivalents | ||
0.0
| mol N equivalents | ||
0.0
| CTUh | ||
0.0
| CTUh | ||
0.0
| kBq U235 equivalents | ||
0.0
| dimensionless (pt) | ||
0.0
| kg CFC11 equivalents | ||
0.0
| kg NMVOC equivalents | ||
0.0
| MJ | ||
0.0
| kg Sb equivalents | ||
0.0
| m3-world equivalents |