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Process Data set: polyester, petrochemical based; fossil-based PET is turned into fibres; production mix, at plant; petrochemical based PET fibres (en) en

Key Data Set Information
Location GLO
Reference year 2020
Name
Base name ; Treatment, standards, routes ; Mix and location types ; Quantitative product or process properties
polyester, petrochemical based; fossil-based PET is turned into fibres; production mix, at plant; petrochemical based PET fibres
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
  • ILCD: Materials production / Plastics
General comment on data set The dataset models the production of 1kg polyester, petrochemical. The type of polyester used is polyethylene terephthalate (PET) fibre. PET fibre is chosen for two reasons. Firstly, because the dataset focuses on the production of polyester used for synthetic turf application, that is needed in fibre form. Secondly, when PET is used as a fibre, it is typically called polyester. This type of fibre has good elasticity, wrinkle resistance, shape retention, excellent wash-and-wear performance and durability. Other applications of PET fibres include all kinds of fabrics and apparel, home furnishings, filtration, automobile interiors, geotextiles, and material for the sewing trade. References: AstroTurf, 2018. Synthetic Turf Glossary of Terms, AstroTurf Available at: https://www.astroturf.com/synthetic-turf-glossary-of-terms/ Package All, 2021. Why is PET sometimes called polyester?, Package All Corp. Available at: https://www.packageall.com/support/why-is-pet-sometimes-called-polyester PETRA, 2021. DI YOU KNOW? Little-Known Facts about PET plastic, PET Resin Association Available at: http://www.petresin.org/pdf/DidYouKnow.pdf Textile School, 2021. Polyester Fiber and its uses, Textile School Available at: https://www.textileschool.com/234/polyester-fiber-and-its-uses/
Copyright Yes
Owner of data set
Quantitative reference
Reference flow(s)
Biogenic carbon content
  • Carbon content (biogenic): 0.0 kg
Time representativeness
Data set valid until 2024
Technological representativeness
Technology description including background system Petrochemical polyester is produced from polyethylene terephthalate (PET). First, the raw inputs of PET are polymerized to produce the needed polymer in chips. The chips are converted to dope by heat. Dope fluid is extruded through a spinneret and then converted to viscoelastic filament. The viscoelastic filament is solidified into solid filament fibre (usually called filament), which may be formed by extending the viscoelastic filament. Finally, when the viscoelastic filament is solidified into solid filament fibre, it is extended by the drawing process. The drawing process decreases the diameter, and the orientation of solid filament fibre could increase, while it improves the degree of crystallinity. References: Deopura, B.L., Alagirusamy, R., Joshi, M. and Gupta, B. eds., 2008. Polyesters and polyamides. Elsevier.
Flow diagram(s) or picture(s)
  • Diagram of data for chemicals EF3.0 Image
LCI method and allocation
Type of data set LCI result
LCI Method Principle Attributional
Deviation from LCI method principle / explanations Background data: - the \xe2\x80\x9cRecycled content cut-off\xe2\x80\x9d approach to allocate end-of-life by-products and secondary materials. 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). The ecoinvent database mostly relies on “Allocation – market values” apart for few exceptions particularly in the energy sector. ecoinvent energy data is replaced with EF3.0 core data as per the EF guidelines version 2.0. OR - EF compliant data
LCI method approaches
  • Allocation - market value
Deviations from LCI method approaches / explanations Background data: - the \xe2\x80\x9cRecycled content cut-off\xe2\x80\x9d approach to allocate end-of-life by-products and secondary materials. 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). The ecoinvent database mostly relies on “Allocation – market values” apart for few exceptions particularly in the energy sector. ecoinvent energy data is replaced with EF3.0 core data as per the EF guidelines version 2.0. OR - EF compliant data
Modelling constants All modelling constants follow the requirements listed in the Tender Specifications 070201/2020/SER/ENV.B1. Completeness: There are no intentional cut-offs in the inventory no matter how small their contribution to all the EF impact categories is. Eventual cut-offs are in compliance with the Guide for EF compliant data sets (JRC 2020), i.e. only if below the 3% cut-off rule. Water use: water use is modelled at country level using separate flows for water withdrawal, water release and water evaporation. Handling multi-functional processes: the following PEF multi- functionality decision hierarchy is applied for resolving all multi- functionality problems: (1) subdivision or system expansion; (2) allocation based on a relevant underlying physical relationship (substitution may apply here); (3) allocation based on some other relationship. Direct land use change: GHG emissions from direct LUC allocated to good/service for 20 years after the LUC occurs, with IPCC default values. Carbon storage and delayed emissions: credits associated with temporary (carbon) storage or delayed emissions up to 300 years are not be considered. Emissions off-setting: are not included. Capital goods (including infrastructures) and their End of life: they are included. System boundaries: system boundaries include all processes linked to the product supply chain (e.g. maintenance). Time period: emissions and removals are modelled as if released or removed at the beginning of the assessment method. Fossil and biogenic carbon emissions and removals: removals and emissions are modelled as follows: All GHG emissions from fossil fuels (including peat and limestone) are modelled consistently with the most updated ILCD list of elementary flows. The non-fossil (biogenic) carbon flows are modelled consistently with the most updated ILCD list of elementary flows.
Deviation from modelling constants / explanations None
Data sources, treatment and representativeness
Data cut-off and completeness principles There are no intentional cut-offs in the inventory no matter how small their contribution to all the EF impact categories is. Eventual cut-offs are in compliance with the Guide for EF compliant data sets (JRC 2020), i.e. only if below the 3% cut-off rule. The dataset dry mass and water balance has been checked to ensure the inventory is complete. Capital goods (e.g. infrastructure) and their end-of-life are included.
Deviation from data cut-off and completeness principles / explanations None
Data selection and combination principles These datasets include, in both their foreground and background data, links to EF3.0 compliant data. The relevant background data on energy, transport, and End of Life are from the LCDN data node (http://lcdn.thinkstep.com/Node/). All other background data in the supply of this product for which no EF3.0 process was available are from ecoinvent v3.7 database (www.ecoinvent.org) or other data sources.
Deviation from data selection and combination principles / explanations None
Data treatment and extrapolations principles Several data sources have been used to model the inventory.
Deviation from data treatment and extrapolations principles / explanations None
Data source(s) used for this data set
Uncertainty adjustments None
Completeness
Completeness of product model All relevant flows quantified
Supported impact assessment methods
  • Resource use, minerals and metals
  • Photochemical ozone formation - human health
  • EF-particulate matter
  • Ionising radiation, human health
  • Human toxicity, non-cancer_organics
  • Human toxicity, non-cancer_inorganics
  • Human toxicity, non-cancer
  • Human toxicity, cancer_organics
  • Human toxicity, cancer_inorganics
  • Human toxicity, cancer
  • Eutrophication, terrestrial
  • Ecotoxicity, freshwater_organics
  • Ecotoxicity, freshwater_inorganics
  • Ecotoxicity, freshwater
  • Climate change-Land use and land use change
  • Climate change-Fossil
  • Climate change-Biogenic
  • Climate change
  • Acidification
Completeness elementary flows, per topic
  • Climate change: All relevant flows quantified
  • Ozone depletion: All relevant flows quantified
  • Summer smog: All relevant flows quantified
  • Eutrophication: All relevant flows quantified
  • Acidification: All relevant flows quantified
  • Human toxicity: All relevant flows quantified
  • Freshwater ecotoxicity: All relevant flows quantified
  • Seawater eco-toxicity: All relevant flows quantified
  • Terrestric eco-toxicity: All relevant flows quantified
  • Radioactivity: All relevant flows quantified
  • Land use: All relevant flows quantified
  • Non-renewable material resource depletion: All relevant flows quantified
  • Renewable material resource consumption: All relevant flows quantified
  • Non-renewable primary energy depletion: All relevant flows quantified
  • Renewable primary energy consumption: All relevant flows quantified
  • Particulate matter/respiratory inorganics: All relevant flows quantified
  • Species depletion: No statement
  • Noise: No statement
Validation
Type of review Data quality indicators
Independent review panel
  • Overall quality: Good - 1.72
  • Methodological appropriateness and consistency: Not applicable
  • Precision: Good - 2.0
  • Geographical representativeness: Fair - 2.29
  • Time representativeness: Very good - 1.0
  • Technological representativeness: Good - 1.58
Reviewer name and institution Complete review report
Type of review Scope / Method(s) of review Data quality indicators
Dependent internal review
Scope name Method name
LCI results or Partly terminated system
  • Element balance
  • Cross-check with other data set
  • Validation of data sources
  • Mass balance
  • Cross-check with other source
  • Sample tests on calculations
  • Compliance with ISO 14040 to 14044
  • Expert judgement
  • Energy balance
Documentation
  • Expert judgement
  • Compliance with ISO 14040 to 14044
Raw data
  • Element balance
  • Validation of data sources
  • Mass balance
  • Cross-check with other source
  • Sample tests on calculations
  • Documentation
  • Expert judgement
  • Energy balance
Life cycle inventory methods
  • Compliance with ISO 14040 to 14044
LCIA results
  • Expert judgement
  • Cross-check with other source
  • Cross-check with other data set
Unit process(es), black box
  • Element balance
  • Cross-check with other data set
  • Validation of data sources
  • Mass balance
  • Cross-check with other source
  • Sample tests on calculations
  • Compliance with ISO 14040 to 14044
  • Expert judgement
  • Energy balance
Unit process(es), single operation
  • Element balance
  • Cross-check with other data set
  • Validation of data sources
  • Mass balance
  • Cross-check with other source
  • Sample tests on calculations
  • Documentation
  • Compliance with ISO 14040 to 14044
  • Expert judgement
  • Energy balance
  • Overall quality: Good - 1.72
  • Methodological appropriateness and consistency: Not applicable
  • Precision: Good - 2.0
  • Geographical representativeness: Fair - 2.29
  • Time representativeness: Very good - 1.0
  • Technological representativeness: Good - 1.58
Reviewer name and institution
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
Not defined
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
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
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 process-based 3.0 Environmental Footprint-compliant life cycle inventory datasets - Plastics - contract number 070201/2020/839443/SER/ENV.B.1
Intended applications 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
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2022-12-01T22:27:36.169+01:00
Data set format(s)
Data entry by
Publication and ownership
UUID 3c9e2d5e-28f9-5a73-806b-dafb535a147a
Date of last revision 2020-09-02T14:36:46.214668+02:00
Data set version 01.01.000
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 Free of charge for all final users implementing 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 (available at https://ecoinvent.lca-data.com/) 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.
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Access to the data set is restricted to metadata only. Please register to get full access to the data set.