EoL, Flat Screens | ABS-PC with BFR, Substitution benefits included; From collection to final destinations; In the context of French WEEE take-back schemes
Table of Contents: Process information - Modelling and validation - Administrative information - Inputs and Outputs
Process information
Key Data Set Information
LocationLocation, country or region the data set represents. [Note 1: This field does not refer to e.g. the country in which a specific site is located that is represented by this data set but to the actually represented country, region, or site. Note 2: Entry can be of type "two-letter ISO 3166 country code" for countries, "seven-letter regional codes" for regions or continents, or "market areas and market organisations", as predefined for the ILCD. Also a name for e.g. a specific plant etc. can be given here (e.g. "FR, Lyon, XY Company, Z Site"; user defined). Note 3: The fact whether the entry refers to production or to consumption / supply has to be stated in the name-field "Mix and location types" e.g. as "Production mix".] FR
Geographical representativeness descriptionFurther explanations about additional aspects of the location: e.g. a company and/or site description and address, whether for certain sub-areas within the "Location" the data set is not valid, whether data is only valid for certain regions within the location indicated, or whether certain elementary flows or intermediate product flows are extrapolated from another geographical area. 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 yearStart year of the time period for which the data set is valid (until year of "Data set valid until:"). For data sets that combine data from different years, the most representative year is given regarding the overall environmental impact. In that case, the reference year is derived by expert judgement. 2015
NameGeneral descriptive and specifying name of the process.
Base nameGeneral descriptive name of the process and/or its main good(s) or service(s) and/or it's level of processing.; Treatment, standards, routesSpecifying information on the good, service, or process in technical term(s): treatment received, standard fulfilled, product quality, use information, production route name, educt name, primary / secondary etc. Separated by commata.; Mix and location typesSpecifying information on the good, service, or process whether being a production mix or consumption mix, location type of availability (such as e.g. "to consumer" or "at plant"). Separated by commata.
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 setSpecific methodological advice for data set users that requires attention. E.g. on inclusion/exclusion of recycling e.g. in material data sets, specific use phase behavior to be modelled, and other methodological advices. See also field "Technological applicability". 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 processDescription of the intended / possible applications of the good, service, or process. E.g. for which type of products the material, represented by this data set, is used. Examples: "This high purity chemical is used for analytical laboratories only." or "This technical quality bulk chemical is used for large scale synthesis in chemical industry.". Or: "This truck is used only for long-distance transport of liquid bulk chemicals". 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.
SynonymsSynonyms / alternative names / brands of the good, service, or process. Separated by semicolon. End-of-life, waste electrical and electronic equipment, recycling, WEEE, disposal, energy recovery, material recovery
ClassificationOptional statistical or other classification of the data set. Typically also used for structuring LCA databases.
Class nameName of the class. / Hierarchy levelHierarchy level (1,2,...), if the categorization system is hierachical, otherwise emtpy or not used.
End-of-life treatment
General comment on data setGeneral information about the data set, including e.g. general (internal, not reviewed) quality statements as well as information sources used. (Note: Please also check the more specific fields e.g. on "Intended application", "Advice on data set use" and the fields in the "Modelling and validation" section to avoid overlapping entries.) 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?Indicates whether or not a copyright on the data set exists. Decided upon by the "Owner of data set". [Note: See also field "Access and use restrictions".] No
Owner of data set (contact data set)"Contact data set" of the person or entity who owns this data set. (Note: this is not necessarily the publisher of the data set.) ESR (Eco-systèmes and Récylum)
Quantitative reference
Reference flow(s)One or more of the Inputs or Outputs in case "Type of quantitative reference" is of type "Reference flow(s)". (Data set internal reference.) EoL, Flat Screens | ABS-PC with BFR, Substitution benefits included - 1.0 kg (Mass)
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:End year of the time period for which the data set is still valid / sufficiently representative. This date also determines when a data set revision / remodelling is required or recommended due to expected relevant changes in environmentally or technically relevant inventory values, including in the background system. 2020
Time representativeness descriptionDescription of the valid time span of the data set including information on limited usability within sub-time spans (e.g. summer/winter). 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 systemDescription of the technological characteristics including operating conditions of the process or product system. For the latter this includes the relevant upstream and downstream processes included in the data set. Professional terminology should be used. 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 diagramm(s) or picture(s) (source data set)"Source data set" of the flow diagramm(s) and/or photo(s) of the good, service, technology, plant etc represented by this data set. For clearer illustration and documentation of data set.
Modelling and validation
LCI method and allocation
Type of data setType of the data set regarding systematic inclusion/exclusion of upstream or downstream processes, transparency and internal (hidden) multi-functionality, and the completeness of modelling. LCI result
LCI method principleLCI method principle followed in the product system modelling, i.e. regarding using average data (= attributional = non-marginal) or modelling effects in a change-oriented way (= consequential = marginal). Attributional
Deviation from LCI method principle / explanationsShort description of any deviations from the general "LCI method principles" and additional explanations. Refers especially to specific processes/cases where the stated "attributional" or "consequential" approach was not applied. Or where deviations were made from any specific rules for applying the "Consequential with attributional components" approach. A reference to the "Intended application" of the data collection can be made here, too. Allocated co-products may be reported here as well. In case of no (quantitatively relevant) deviations from the LCI method principle, "none" should be stated. None
LCI method approachesNames briefly the specific approach(es) used in LCI modeling, e.g. allocation, substitution etc. In case of LCI results and Partly terminated system data sets this also covers those applied in the included background system. Allocation - net calorific value Allocation - element content Allocation - mass
Deviations from LCI method approaches / explanationsDescription of relevant deviations from the applied approaches as well as of the relevant specific approaches that were applied, including in an possibly included background system. Further explanations and details of the allocation, substitution and other consequential approaches applied for relevant processes, e.g. how the marginal substitute was identified, year and region of which market prices were used in market allocation, i.e. method, procedure, data/information details. In case of no (result relevant) deviations from the before stated LCI method approaches, and in case of no need for further explanations, "none" is entered. None
LCA methodology report (source data set)"Source data set"(s) where the generally used LCA methods including the LCI method principles and specific approaches, the modelling constants details, as well as any other applied methodological conventions are described. Modelling principles report
Data sources, treatment, and representativeness
Data cut-off and completeness principlesPrinciples applied in data collection regarding completeness of (also intermediate) product and waste flows and of elementary flows. Examples are: cut-off rules, systematic exclusion of infrastructure, services or auxiliaries, etc. systematic exclusion of air in incineration processes, coling water, etc. 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.
Data selection and combination principlesPrinciples applied in data selection and in combination of data from different sources. Includes brief discussion of consistency of data sources regarding data itself, modelling, appropriateness. In case of averaging: Principles and data selection applied in horizontal and / or vertical averaging. 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 / explanationsShort description of any deviations from the "Data selection and combination principles". In case of no (result relevant) deviations, "none" is entered. None
Percentage supply or production coveredPercentage of the overall supply, consumption, or production of the specific good, service, or technology represented by this data set, in the region/market of the stated "Location". For multi-functional processes the market share of the specific technology is stated. If data that is representative for a process operated in one "Location" is used for another "Location", the entry is '0'. The representativity for the original "Location" is documented in the field "Deviation from data treatment and extrapolation principles, explanations". 75 %
Data collection periodDate(s) or time period(s) when the data was collected. Note that this does NOT refer to e.g. the publication dates of papers or books from which the data may stem, but to the original data collection period. 2015
Completeness
Completeness product modelCompleteness of coverage of relevant product, waste and elementary flows. [Notes: For LCI results and Partly terminated systems this means throughout the underlying product system model. "Relevant" refers to the overall environmental relevance, i.e. for unit processes including the upstream and downstream burdens of product and waste flows.] All relevant flows quantified
Validation
ReviewReview information on data set. Independent review panelReviewer(s)/verifier(s) have been involved in collecting, modelling, or entering the data set information or inventory, have commissioned or financed the work, or represent the process or product system (or quantiatitively relevant parts of it).
Scope of reviewScope of review regarding which aspects and components of the data set was reviewed or verified. In case of aggregated e.g. LCI results also and on which level of detail (e.g. LCI results only, included unit processes, ...) the review / verification was performed. Method(s) of reviewValidation method(s) used in the respective "Scope of review".
LCIA resultsReview/verification is done on basis of the original "raw data", i.e. the data before it was scaled, converted, or treated in other ways to be used for modelling of a unit process. Compliance with ISO 14040 to 14044Comparison with other, independent data and/or information sources (can be both database and literature).
Expert judgementComparison with other, independent data and/or information sources (can be both database and literature).
Life cycle inventory methodsReview/verification is done on basis of the original "raw data", i.e. the data before it was scaled, converted, or treated in other ways to be used for modelling of a unit process. Compliance with ISO 14040 to 14044Comparison with other, independent data and/or information sources (can be both database and literature).
Expert judgementComparison with other, independent data and/or information sources (can be both database and literature).
LCIA results calculationReview/verification is done on basis of the original "raw data", i.e. the data before it was scaled, converted, or treated in other ways to be used for modelling of a unit process. Compliance with ISO 14040 to 14044Comparison with other, independent data and/or information sources (can be both database and literature).
Expert judgementComparison with other, independent data and/or information sources (can be both database and literature).
DocumentationComparison with other, independent data and/or information sources (can be both database and literature).
Raw dataReview/verification is done on basis of the original "raw data", i.e. the data before it was scaled, converted, or treated in other ways to be used for modelling of a unit process. Compliance with ISO 14040 to 14044Comparison with other, independent data and/or information sources (can be both database and literature).
Expert judgementComparison with other, independent data and/or information sources (can be both database and literature).
DocumentationComparison with other, independent data and/or information sources (can be both database and literature).
Evidence collection by means of plant visits and/or interviewsComparison with other, independent data and/or information sources (can be both database and literature).
Validation of data sourcesComparison with other, independent data and/or information sources (can be both database and literature).
Compliance with legal limitsComparison with other, independent data and/or information sources (can be both database and literature).
DocumentationReview/verification is done on basis of the original "raw data", i.e. the data before it was scaled, converted, or treated in other ways to be used for modelling of a unit process. Compliance with ISO 14040 to 14044Comparison with other, independent data and/or information sources (can be both database and literature).
Expert judgementComparison with other, independent data and/or information sources (can be both database and literature).
LCI results or Partly terminated systemReview/verification is done on basis of the original "raw data", i.e. the data before it was scaled, converted, or treated in other ways to be used for modelling of a unit process. Mass balanceComparison with other, independent data and/or information sources (can be both database and literature).
Energy balanceComparison with other, independent data and/or information sources (can be both database and literature).
Sample tests on calculationsComparison with other, independent data and/or information sources (can be both database and literature).
Compliance with ISO 14040 to 14044Comparison with other, independent data and/or information sources (can be both database and literature).
Expert judgementComparison with other, independent data and/or information sources (can be both database and literature).
DocumentationComparison with other, independent data and/or information sources (can be both database and literature).
Element balanceComparison with other, independent data and/or information sources (can be both database and literature).
Unit process(es), single operationReview/verification is done on basis of the original "raw data", i.e. the data before it was scaled, converted, or treated in other ways to be used for modelling of a unit process. Cross-check with other data setComparison with other, independent data and/or information sources (can be both database and literature).
Mass balanceComparison with other, independent data and/or information sources (can be both database and literature).
Energy balanceComparison with other, independent data and/or information sources (can be both database and literature).
Validation of data sourcesComparison with other, independent data and/or information sources (can be both database and literature).
Sample tests on calculationsComparison with other, independent data and/or information sources (can be both database and literature).
Compliance with ISO 14040 to 14044Comparison with other, independent data and/or information sources (can be both database and literature).
Expert judgementComparison with other, independent data and/or information sources (can be both database and literature).
DocumentationComparison with other, independent data and/or information sources (can be both database and literature).
Evidence collection by means of plant visits and/or interviewsComparison with other, independent data and/or information sources (can be both database and literature).
Compliance with legal limitsComparison with other, independent data and/or information sources (can be both database and literature).
Element balanceComparison with other, independent data and/or information sources (can be both database and literature).
Data quality indicatorsData quality indicators serve to provide the reviewed key information on the data set in a defined, computer-readable (and hence searchable) form. This serves to support LCA practitioners to identify/select the highest quality and most appropriate data sets.
Name Value
Overall quality Good
Methodological appropriateness and consistency Very good
Precision Very good
Completeness Good
Geographical representativeness Good
Time representativeness Fair
Technological representativeness Good
Review detailsSummary of the review. All the following items should be explicitly addressed: Representativeness, completeness, and precision of Inputs and Outputs for the process in its documented location, technology and time i.e. both completeness of technical model (product, waste, and elementary flows) and completeness of coverage of the relevant problem fields (environmental, human health, resource use) for this specific good, service, or process. Plausibility of data. Correctness and appropriateness of the data set documentation. Appropriateness of system boundaries, cut-off rules, LCI modelling choices such as e.g. allocation, consistency of included processes and of LCI methodology. If the data set comprises pre-calculated LCIA results, the correspondence of the Input and Output elementary flows (including their geographical validity) with the applied LCIA method(s) should be addressed by the reviewer. An overall quality statement on the data set may be included here. 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.
Reviewer name and institution (contact data set)"Contact data set" of reviewer. The full name of reviewer(s) and institution(s) as well as a contact address and/or email should be provided in that contact data set. A. Bizouard
Büro für umweltchemie Zürich
Solinnen
Complete review report (source data set)"Source" dataset of the complete review report Review Report
Compliance declarations
Complianceone compliance declaration
Compliance system name (source data set)"Source data set" of the "Compliance system" that is declared to be met by the data set.
ILCD Data Network - Entry-level
Approval of overall complianceOfficial approval whether or not and in how far the data set meets all the requirements of the "Compliance system" refered to. This approval should be issued/confirmed by the owner of that compliance system, who is identified via the respective "Contact data set".
Fully compliantMeets all requirements of this compliance aspect as defined in the respective "Compliance system".
Nomenclature complianceNomenclature complianceNomenclature compliance of this data set with the respective requirements set by the "compliance system" refered to.Nomenclature compliance of this data set with the respective requirements set by the "compliance system" refered to.
Fully compliantMeets all requirements of this compliance aspect as defined in the respective "Compliance system".
Methodological complianceMethodological complianceMethodological compliance of this data set with the respective requirements set by the "compliance system" refered to.Methodological compliance of this data set with the respective requirements set by the "compliance system" refered to.
Fully compliantMeets all requirements of this compliance aspect as defined in the respective "Compliance system".
Review complianceReview complianceReview/Verification compliance of this data set with the respective requirements set by the "compliance system" refered to.Review/Verification compliance of this data set with the respective requirements set by the "compliance system" refered to.
Fully compliantMeets all requirements of this compliance aspect as defined in the respective "Compliance system".
Documentation complianceDocumentation complianceDocumentation/Reporting compliance of this data set with the respective requirements set by the "compliance system" refered to.Documentation/Reporting compliance of this data set with the respective requirements set by the "compliance system" refered to.
Fully compliantMeets all requirements of this compliance aspect as defined in the respective "Compliance system".
Administrative information
Commissioner and goal
Commissioner of data set (contact data set)"Contact data set" of the commissioner / financing party of the data collection / compilation and of the data set modelling. For groups of commissioners, each single organisation should be named. For data set updates and for direct use of data from formerly commissioned studies, also the original commissioner should be named. ESR (Eco-systèmes and Récylum)
ADEME
Intended applicationsDocumentation of the intended application(s) of data collection and data set modelling. This indicates / includes information on the level of detail, the specifidity, and the quality ambition in the effort. 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 set generator / modeller
Data set generator / modellerData set generator / modeller (contact data set)"Contact data set" of the person(s), working group(s), organisation(s) or database network, that generated the data set, i.e. being responsible for its correctness regarding methods, inventory, and documentative information."Contact data set" of the person(s), working group(s), organisation(s) or database network, that generated the data set, i.e. being responsible for its correctness regarding methods, inventory, and documentative information. Bleu Safran
H. Cruypenninck
Data entry by
Time stamp (last saved)Date and time stamp of data set generation, typically an automated entry ("last saved"). 2018-07-11T12:00:00+01:00
Data set format(s) (source data set)"Source data set" of the used version of the ILCD format. If additional data format fields have been integrated into the data set file, using the "namespace" option, the used format namespace(s) are to be given. This is the case if the data sets carries additional information as specified by other, particular LCA formats, e.g. of other database networks or LCA softwares. ILCD format
Converted original data set from: (source data set)"Source data set" of the database or data set publication from which this data set has been obtained by conversion. This can cover e.g. conversion to a different format, applying a different nomenclature, mapping of flow names, conversion of units, etc. This may however not have changed or re-modeled the Inputs and Outputs, i.e. obtaining the same LCIA results. This entry is required for converted data sets stemming originally from other LCA databases (e.g. when re-publishing data from IISI, ILCD etc. databases). [Note: Identically re-published data sets are identied in the field "Unchanged re-publication of:" in the section "Publication and Ownership".] Flat Screens LCI, CSV Format
Publication and ownership
UUID of Process data setAutomatically generated Universally Unique Identifier of this data set. Together with the "Data set version", the UUID uniquely identifies each data set. 93ab8305-5aec-487f-bb57-4b616d4967d0
Data set versionVersion number of data set. First two digits refer to major updates, the second two digits to minor revisions and error corrections etc. The third three digits are intended for automatic and internal counting of versions during data set development. Together with the data set's UUID, the "Data set version" uniquely identifies each data set. 01.01.000
Permanent data set URIURI (i.e. an internet address) of the original of this data set. [Note: This equally globally unique identifier supports users and software tools to identify and retrieve the original version of a data set via the internet or to check for available updates. The URI must not represent an existing WWW address, but it should be unique and point to the data access point, e.g. by combining the data owner's www path with the data set's UUID, e.g. http://www.mycompany.com/lca/processes/50f12420-8855-12db-b606-0900210c9a66.]
Workflow and publication statusWorkflow or publication status of data set. Details e.g. of foreseen publication dates should be provided on request by the "Data set owner". Data set finalised; entirely published
Owner of data set (contact data set)"Contact data set" of the person or entity who owns this data set. (Note: this is not necessarily the publisher of the data set.) ESR (Eco-systèmes and Récylum)
Access and use restrictionsAccess restrictions / use conditions for this data set as free text or referring to e.g. license conditions. In case of no restrictions "None" is entered. Please, read the General Terms of use at weee-lci.eco-systemes.com/Node/GTU.xhtml
Inputs and Outputs
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