Close Go back Collapse all sectionsProcess Data set: EoL, Flat Screens | ABS-PC with BFR, Substitution benefits included; From collection to final destinations; In the context of French WEEE take-back schemes (en) en
Key Data Set Information
Location FR
Geographical representativeness description This dataset is representative of the French WEEE take-back schemes. For all rank 2 operators and later, electricity consumption is modelled using the electricity mix specific to their country of location. Final destinations are modelled with an energy profile representing mean European conditions, except for storage and incineration with energy recovery; in these two cases of final destinations, the data are provided for France, Europe outside France and China. The dataset can represent a good approximation for European countries other than France if they present similar collection, transport and treatment processes.
Reference year 2015
Name
Base name ; Treatment, standards, routes ; Mix and location types
EoL, Flat Screens | ABS-PC with BFR, Substitution benefits included; From collection to final destinations; In the context of French WEEE take-back schemes
Use advice for data set The users are invited to assess the suitability of the LCI in relation to the aims of their analysis, in particular on the following points: scope covered, possibility of application to product evaluated (as end-of-life management processes vary according to the product), geographical representativeness (processes may have different impacts and performance levels if an end-of-life product is handled in one or more countries with a regulatory framework or technology level different to France), possible allocation rules implemented.
Technical purpose of product or process ABS-PC with BFR is used for the production of Flat screens, which include notably: equipment containing flat screens having a surface greater than 100 cm2: televisions, monitors, laptops, notebooks, tablets >7 inch, LCD photo frames.
Synonyms End-of-life, waste electrical and electronic equipment, recycling, WEEE, disposal, energy recovery, material recovery
Classification
Class name : Hierarchy level
  • ILCDCategories: End-of-life treatment
General comment on data set This dataset represents the end-of-life of ABS-PC with BFR in Flat Screens managed by the French Waste Electric and Electronic Equipment (WEEE) take-back schemes. It includes all management phases from the collection of WEEE at collection points to all final destinations reached by this material. In terms of the final destinations which consist of material or energy recovery operations, the data include both the environmental burdens and benefits. Allocation 100/0 has been applied.
Copyright No
Owner of data set
Data set LCA report, background info
Quantitative reference
Reference flow(s)
Functional Unit Ensure end-of-life management of 1 kg of ABS-PC with BFR in Flat Screens from collection points set up by French take-back schemes responsible for this category of WEEE, to all final destinations reached by this material.
Time representativeness
Data set valid until 2020
Time representativeness description LCI for end-of-life management of ABS-PC with BFR in Flat Screens is the result of data collection representing the year 2015. The age of the background data is consistent with this representativeness. Although they refer to the year 2015, these data are considered valid until 2020 in light of the nature of the technologies in use and their maturity. In the specific case of Flat Screens and in view of the fact that Flat Screens processing is recent, several treatment technologies coexist.
Technological representativeness
Technology description including background system 1/ Upstream collection // Foreground: Data collected upstream of rank 1 processing are specific and cover 100% of Flat Screens tonnage managed by Eco-systèmes in 2015, i.e. around 75% of Flat Screens tonnage managed by the French take-back schemes. These data were provided by the Eco-systèmes logistics department and cover the methods of conditioning, transport distances, dimensions of Heavy goods vehicles (HGV), their load rate and their empty return rate. // Background: The upstream collection model was developed using data from ecoinvent V3.4 (allocation, cut-off). The range of European standards taken into account is representative of the French HGV fleet in 2014. ________________________________________________________________________________________________________________________________________________________ 2/ Rank 1 processing // Foreground: The rank 1 processing model is based on specific data collected via questionnaire from 4 operators, which represent 93% of the stream tonnage processed by operators under contract with Eco-systèmes in 2015, or around 70% of the Flat Screens tonnage processed by the French WEEE take-back schemes. The data collected concern the energy and material inputs consumed by operators during processing and specific emissions generated (notably dust and mercury). The operators covered represent the diversity of technology in France and Europe for rank 1 Flat Screens processing. WEEE processing by rank 1 operators leads to the production not of fully sorted waste, but fractions which are a mixture of different materials to various degrees of complexity. An important issue in the project was to quantify the way in which each material analysed is distributed in the rank 1 output fractions; this analysis is required to understand the scope of final destinations reached by each material and the itinerary taken to reach them (Material Flow Analysis). 100 % of fractions produced by rank 1 operators were taken into account, even when they represented a very marginal proportion of the total tonnage. Each fraction was subject to a quantified description of its composition. Regarding plastic fractions, regulatory framework has evolved since 2014 and is still moving in 2018, implying evolutions in the operational management of plastics and especially for plastics containing brominated flame retardants. In this modelisation a conservative approach is adopted: sorted plastic fractions containing any kind of brominated flame retardants are considered ending in hazardous waste incineration units only. // Background: The rank 1 operator processing model was developed using data from ecoinvent V3.4 (allocation, cut-off) to model the energy and material inputs consumed. Rank 1 operators who process Flat Screens are all located in France: electricity is modelled based on the French electricity mix (2015-2017 annual average). ________________________________________________________________________________________________________________________________________________________ 3/ Transport between rank 1 operators and rank 2 acceptors // Foreground: The transport model for fractions involving rank 1 and rank 2 operators is based on specific data collected via questionnaires completed by rank 1 operators. For each fraction produced, the 4 operators involved in rank 1 Flat Screens processing provided the identity and location of rank 2 operators and split between them. The coverage rate is 100% of fractions produced; for Flat Screens involved, this implies that almost 100 separate journeys were taken into account. // Background: The transport model for fractions involving rank 1 and rank 2 operators was developed using data taken from ecoinvent V3.4 (allocation, cut-off); the range of European standards taken into account is representative of the French HGV fleet in 2015. ________________________________________________________________________________________________________________________________________________________ 4/ Rank 2 and later operators (excluding final destinations) // Foreground: Rank 2 operators may be: i/ trade/bulking operators; ii/processing operators (separation and shredding/separation); iii/ final destination operators. i/ Data concerning rank 2 trade/bulking operators concern loss rates and power consumption by handling equipment: the loss rate is based on assumptions; handling equipment power consumption is considered to be identical to that for rank 1 operators. ii/ The data concerning rank 2 processing operators or later are based on lessons learned from the analysis of rank 1 operators, on the opinions of expert operators and/or Eco-systèmes processing experts using bibliographic data. iii/ See the last paragraph if rank 2 operators correspond to a final destination. // Background: The model for operations by rank 2 and following operators was developed using data from ecoinvent V3.4 (allocation, cut-off); rank 2 operators and later may be located in France, other European countries or in Asia: Electricity consumption is modelled taking into account the electricity mix specific to the country in which each of the rank 2 operators and later are based. Concerning the transport phases downstream of rank 2 operators, no specific visibility is possible about the transport distances. These steps are based on a market-specific approach which distinguishes for each material and each category of final destinations: the portion that is processed/recovered on a national level, the portion processed on a European level, the portion processed on major Asian export markets. These market scenarios were developed based on bibliographic data. _________________________________________________________________________________________________________________________________________________________ 5/ Final destinations // Foreground: For each material analysed, the range and breakdown of final destinations reached result from the MFA based on the composition of fractions produced by rank 1 processing, on the existence of separation processes and their efficiency during rank 2 operations and later. The evaluation of final destinations was done using two methods: i/ With benefits: all the environmental burdens of final destinations are taken into account; the benefits obtained by substitution effects between secondary and primary materials are also taken into account, with the substitution point in question being located at the output of the recovery operation (exit from steel mill, exit from aluminium refinery); ii/ Without benefits: all environmental burdens of final destinations are taken into account; no benefits generated by substitution effects are accounted for. In all cases, the modelling of the behaviour of a given material (e.g. steel) in a final destination it reaches in high proportions (e.g. steel mill) or in lower proportions (e.g. non-hazardous waste storage facility), even in marginal proportions (e.g. copper / precious metal refinery), was done to be as specific as possible to the material in question (e.g. in a steel mill, steel is considered to be largely preponderant in the steel melt, and marginal in steel slag; steel in copper/precious metal refineries is considered to be found in drosses). To the extent of usable knowledge the models of the environmental burdens and benefits take into account these specific behaviours. // Background: With a view to producing a model as specific as possible of the burdens and benefits associated to a given material in each of the final destinations it reaches, in-depth modelling work was undertaken using various data sources: i/ Databases: ecoinvent V3.4, Industry data from Plastics Europe (ecoprofiles published in 2015 for ABS, in 2012 for PS, in 2011 for PC and in 2005 for PMMA), Industry data from EAA, etc; ii/ Waste LCA tool: Wisard™; iii/ Technical and scientific bibliographies: BREFs, scientific publications, etc. This work was covered by internal documentation resulting in a 200-page report.
Flow diagram(s) or picture(s)
LCI method and allocation
Type of data set LCI result
LCI Method Principle Attributional
Deviation from LCI method principle / explanations None
LCI method approaches
  • Allocation - element content
  • Allocation - net calorific value
  • Allocation - mass
Deviations from LCI method approaches / explanations None
LCA methodology report
Data sources, treatment and representativeness
Data cut-off and completeness principles In the foreground processes, all relevant flows are considered, trying to avoid any cut-off of material and energy flows. No cut-off rule was implemented in terms of the analysis of the composition and management of the output fractions produced from rank 1 processing, even for fractions which represent a marginal % in relation to total tonnage.
Deviation from data cut-off and completeness principles / explanations None
Data selection and combination principles Information and key data have been collected from 4 rank 1 operators processing 93% of the tonnage collected, from Eco-systèmes and in existing LCI databases in order to maximise the coverage rate and to reflect the diversity and/or variants in the processing of Flat Screens (shredding in a closed circuit and manual or semi-automated dismantling).
Deviation from data selection and combination principles / explanations None
Data handling report
Percentage supply or production covered 75 %
Annual supply or production volume Around 5 500 tonnes collected by Eco-systèmes (100% coverage rate) in 2015. Around 7 500 tonnes collected by WEEE French take back schemes (around 75% coverage rate) in 2015.
Data collection period 2015
Completeness
Completeness of product model All relevant flows quantified
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
  • Non-renewable material resource depletion: All relevant flows quantified
  • Freshwater ecotoxicity: Relevant flows missing
  • Human toxicity: Relevant flows missing
???common.completenessOtherProblemField??? In general, the possible limits of the LCI produced are not caused by cut-off rules but by the uncertainty that may be associated to predicting the behaviour of certain materials in specific final destinations: 1/ For certain final destinations such as storage or destinations featuring combustion, it is difficult to foresee speciation by which elements are discharged into the environment; this must be kept in mind by the data user as this speciation has a considerable influence on the characterisation of toxic/eco-toxic behaviours. 2/ Similarly, synergy or antagonistic effects between substances or elements can significantly influence the quantities of pollutants emitted into the environment and also their speciation; e.g. the presence of bromine during combustion with wet flue gas purification notably improves mercury capture; metal leaching, and more particularly from heavy metals, in Non-Hazardous Waste Storage Facilities depends on multiple intrinsic and contextual, physical and chemical parameters (speciation under which we find metals, particle size analysis and matrix porosity - these parameters influence the contact surface between leachate and matrix - role of bacteria, acidity/alkalinity of the environment, etc.). The limits underlined above are not specific to this project: they are limits with a more general scope in terms of the reliability of qualification and quantification of the elementary flows likely to be involved in the evaluation of toxic and eco-toxic aspects.
Validation
Type of review Scope / Method(s) of review Data quality indicators Review details
Independent review panel
Scope name Method name
LCI results or Partly terminated system
  • Energy balance
  • Mass balance
  • Sample tests on calculations
  • Expert judgement
  • Compliance with ISO 14040 to 14044
  • Documentation
  • Element balance
LCIA results calculation
  • Expert judgement
  • Compliance with ISO 14040 to 14044
  • Documentation
Life cycle inventory methods
  • Expert judgement
  • Compliance with ISO 14040 to 14044
LCIA results
  • Expert judgement
  • Compliance with ISO 14040 to 14044
Raw data
  • Compliance with legal limits
  • Validation of data sources
  • Evidence collection by means of plant visits and/or interviews
  • Expert judgement
  • Compliance with ISO 14040 to 14044
  • Documentation
Documentation
  • Expert judgement
  • Compliance with ISO 14040 to 14044
Unit process(es), single operation
  • Validation of data sources
  • Energy balance
  • Compliance with legal limits
  • Mass balance
  • Sample tests on calculations
  • Evidence collection by means of plant visits and/or interviews
  • Expert judgement
  • Compliance with ISO 14040 to 14044
  • Documentation
  • Cross-check with other data set
  • Element balance
  • Overall quality: Good
  • Methodological appropriateness and consistency: Very good
  • Precision: Very good
  • Completeness: Good
  • Geographical representativeness: Good
  • Time representativeness: Fair
  • Technological representativeness: Good
As a whole, the panel considers that the requirements of the reference standards have been applied. The final report and database reflect the goal which has been set up, within the scope of the limitations that are mentioned in the report, and the detailed panel comments which are provided in the full critical review report.
Subsequent review comments
Reviewer name and institution Complete review report
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
Commissioner and goal
Commissioner of data set
Project Development of a LCI database regarding Waste of Electrical and Electronic Equipment management in the context of French WEEE take back system.
Intended applications The LCI data produced can be used in comparative or non-comparative LCA and in product environmental declarations such as PEP Ecopassport®. These data were developed with a high level of quality and in order to report on the actual end-of-life destinations of each material, whether they exist in significant or marginal quantities.
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2018-07-11T12:00:00+01:00
Data set format(s)
Converted original data set from
Data entry by
Publication and ownership
UUID 93ab8305-5aec-487f-bb57-4b616d4967d0
Date of last revision 2018-07-11T12:00:00+01:00
Data set version 01.01.000
Workflow and publication status Data set finalised; entirely published
Registration authority
Registration number 01.01.000
Owner of data set
Copyright No
License type Free of charge for all users and uses
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