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Governance committee for the ADEMEs database Technical Committee Database management and quality - 6 th of June 2011 Service Eco-Conception & Consommation.

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Presentation on theme: "Governance committee for the ADEMEs database Technical Committee Database management and quality - 6 th of June 2011 Service Eco-Conception & Consommation."— Presentation transcript:

1 Governance committee for the ADEMEs database Technical Committee Database management and quality - 6 th of June 2011 Service Eco-Conception & Consommation Durable (SECCD) ADEME Avec RDC Environment

2 Goal of the meeting General goal : write a specification document to any provider of LCA datasets in order to supply the database Goal of the meeting : Define / validate the proposals of guidelines for the ADEMEs database management and quality These requirements will have to be fulfilled by any provider of LCA data These requirements will be in annex to all technical specification document in every future calls to tender. 2

3 General approach Analysis of the ADEMEs database needs : Recognition at national and international level Tool to help environmental labeling Compliance to the guidelines of the BPX referential and the general principles of LCA How do the existing databases answer to these needs ? (ILCD, EcoInvent, GaBi, DEAM, CODDE-BV-TEX) Analysis of the data quality guidelines that the databases have developed Proposal of quality and management guidelines for the ADEMEs database 3

4 Agenda 4 Background and goal The ADEMEs database Content of the ADEMEs database Goal for management and quality guidelines Database building guidelines Format Homogeneity Quality Database utilization guidelines Update Integration of data Need for « default datasets » Confidentiality

5 Background and goal Support environmental labeling for consumers goods Help to make a LCA assessment (based on several impact categories and on a life cycle approach) by providing : A methodology Common methodology : BPX Sector-specific methodology : one per product category referential Some generic LCA data The ADEMEs database will be the recognized generic LCA database in France and at international level : Quality of the database Co-construction : governance 5

6 6 Sectorial technical committees ADEME – AFNOR platform Links between the ADEMEs work and the ADEME-AFNOR platforms work ADEME-AFNOR methodological referentials Calculation tools ADEMEs database avis Common ref. BPX Sector-specific ref. Governance Committee (advisory)

7 7 Database governance Sector-specific working groups of ADEME-AFNOR platform Definition of needs from : a preliminary study and some specification in the specific product category referentials Technical Committees Needs refinement Confrontation to available data Till the specification document redaction that will explain the data that are needed (precise type of process) and the management and quality requirements Governance Committee Administration NGO Enterprises

8 8 Content of the ADEMEs database Some processes One reference flow (unit of the process) An elementary flows list An impact categories list Some metadata Some characterization factors

9 9 Content of the ADEMEs database Processes Metadata Sources, contacts, external documents Unit Reference flow, Unitgroups Characterization factors* LCIA Method Result by impact category X *Common data to any data provider (to come from JRC) LCI (inventories) Flows*, flow property*,Unit groups

10 10 Data sources : 3 channels of supply Existing or adapted data from databases Coming from existing databases developers : PE, Ecoinvent, PWC, BV, federations (ex WorldSteel, PlasticsEurope) Modality : framework agreement and subsequent contracts (call to tender to select candidates and then estimation of costs per sectorial technical committee) Co-produced data To fill the pointed out lacks for some specific sectors The studies will be launched by ADEME (e.g. AgriBalyse for agricultural productions) Industrial date (from third part) Help to integrate some data that are still not available in the existing databases Incentive to develop LCA

11 11 Planning

12 Questions that have structured the work Content of the database (substance) : Which data ? Content of the database (form) : Which format ? Which building rules ? IT development Which integration rules ? Which management rule over the time ? 12

13 Content of the « ADEMEs database management and quality guidelines » document Structure of the database : which criteria? Format Homogeneity Quality of data Methodological conformity Inventorities clarity Recognition Transparency Utilization practice Update Integration of data Need for « default » datasets Confidentiality 13

14 Agenda 14 Background and goal The ADEMEs database Content of the ADEMEs database Goal for management and quality guidelines Database building guidelines Format Homogeneity Quality Database utilization guidelines Update Integration of data Need for « default datasets » Confidentiality

15 Format – Definition of needs 15 Format must help to : Structure information Exchange data (import/ export) Be internationally recognized Provide impact categories results Provide transparency on methodology and more especially on BPX referential

16 Format – How do the databases answer to the needs ? 16 2 major formats : XML – ILCD : complete architecture that will be the future European exchange format Problem : the today format does not provide a mandatory flows list and does not contain many mandatory fields for metadata GaBi, CODDE-BV-TEX et DEAM are also developing processes in the ILCD format. XML – Ecospold (EcoInvent) : format with a different structure from ILCD Problem : the format is not the European exchange format. However some conversion systems to ILCD format exist.

17 Format – Proposal for ADEME DB 17 The selected format is ILCD format because : It is developed by European commission It ensures international recognition It is easy to export in XML or Excel files The metadata are well and finely structured It provides a tool for industrial (third part) providers : ILCD Editor A new « Extension » file is added to check compliance with BP X referential (Cf. homogeneity) Requirements for the providers LCI delivery according to the elementary flows list defined by the ADEME Some fields of metadata are mandatory because they need to be visible at first glance Rules in matter of reference (UUID, URI, links to other files…) Uniqueness of reference flows in the processes Uniqueness of the value for an elementary flow Can these rules be easily fulfilled ?

18 Agenda 18 Background and goal The ADEMEs database Content of the ADEMs database Goal for management and quality guidelines Database building guidelines Format Homogeneity Quality Database utilization guidelines Update Integration of data Need for « default datasets » Confidentiality

19 Homogeneity – definition of needs How are the data linked together ? The data sources can be different and therefore the choices of building the data either. The level of aggregation can be different. The data must respect the same quality rules and methodology. 19 Transverse data (upstream data) Sector-specific data TransportEnergy Shoes Textile EEE End of life ?

20 Homogeneity – How do the databases answer to the needs ? Processes data can be divided into elementary processes (e.g. : EcoInvent) e.g.: electrical mix, infrastructures …. -> All the data are linked together and the modification of one elementary process generates a modification chain all over the database 20 Elem. process 1 Elem. process. i « Aggregated » process (to integrate into ADEME DB) … The data convergence is provided.

21 Homogeneity – Proposal for ADEME DB Constrain for ADEME DB : No complete dynamic structure that will link all the data. Proposal : Homogeneity could at least be ensured by industrial sector Selection of a unique provider by sector (ex : Energy, Textile, Chemistry, Plastics …) Limit desaggregation of the data to upstream data such as : Electrical mix : all (or only a part of) processes could be delivered as desaggregated processes to which electrical mix from the database would be added Infrastructures Fulfillment of common quality guidelines (including methodology) 21

22 Homogeneity – Questions Sectorial homogeneity Can only one provider per industrial sector ensure homogeneity? Limited desaggregation Must these desaggregation rules be fulfilled for all the processes or only for a part ? Is it possible to make such a desaggregation ? Must ADEME ask to provider for all processes (1 per country) or only one, that any user of the database could adapt with the correct electrical mix ? Common quality requirements (cf. quality) 22

23 Agenda 23 Background and goal The ADEMEs database Content of the ADEMs database Goal for management and quality guidelines Database building guidelines Format Homogeneity Quality Database utilization guidelines Update Integration of data Need for « default datasets » Confidentiality

24 Quality criteria proposed by ADEME Inherent quality Methodology conformity Inventories clarity Recognition Transparency 24

25 Data quality – definition of needs Temporal representativeness : typical data for the considered period Geographical representativeness : representation of the considered zone Technological representativeness : typical data for the considered technology (market representativeness) Completeness of environmental impacts covered by the inventory Precision / reproductibilityvariability and error on data Uncertainty Consistency (norme ISO 14044)

26 Data quality – How do the databases answer to the needs ? 26 The common criteria : geographical, technological and temporal representativeness. ISO JRC - « ILCD Compliance » JRC - « ILCD data entry level » Eco Invent GabiDEAM Codde - EIME et EIME-Tex Plastics Europe WorldsteelEAA CONSIDERED QUALITY CRITERIA Geographical representativeness XXX X + compleness (market representati veness) XXXXXX Technological representativeness XXXXXXXXXX Temporal representativeness XXXXXXXXXX Elementary flows completeness X X (calculated) ?X??XX? Precision - reproductibility X X (calculated) XX?? X (calculé) X? ConsistencyXX?????X??

27 Data quality – How do the databases answer to the needs ? 27 ISO JRC - « ILCD Compliance » JRC - « ILCD data entry level » Eco Invent GabiDEAM Codde - EIME et EIME-Tex Plastics Europe WorldsteelEAA EVALUATION OF QUALITY Qualitative approachX X (doc) XXXXXXX Semi-quantitative approach X (quantitative on completeness and uncertainty) X (quantitative on completenes s and uncertainty) RatingX X (qualitativ e eval.) X 2 major evaluation systems : On documentation (qualitative) On ratings

28 Data quality – How do the databases answer to the needs ? 28 ISO JRC - « ILCD Compliance » JRC - « ILCD data entry level » Eco Invent GabiDEAM Codde - EIME et EIME-Tex Plastics Europe WorldsteelEAA PROOF MODE OR CHECK Mandatory external peer review XXX XXX Mandatory internal peer review XX Review by the database provider XXXX LEVEL OF DEPTH FOR THE REVIEW Small?? MediumXX?? XX HighXX?? X According to the organisations, either the database provider checks by himself or asks for an external peer review (no mandatory accreditation for reviews)

29 Data quality – Proposal forADEME DB 29 Minimum criteria to take into account : Temporal, geographical, technological representativeness Must there be other requirements (uncertainty/precision, completeness) ? How can these criteria be proposed and checked? Quality evaluation Short term : qualitative approach What is the proof mode? In long term, must we develop also the quantitative approach ? Who will establish the threshold values : the data provider ? By what kind of review process ?

30 Quality of data – Proposal for ADEME DB 30 Proof mode for quality, for each channel of data supply : Data coming from databases : the providers review is enough Can we valid that the ADEMEs database can be satisfied with the providersreview? Co-produced data : require that a peer review is available Data coming from industries (third part) : need to get an external peer review to be sure of quality Can we require a peer review to industries without the risk that this will limit this channel for data supply ? Must we require « accreditation » reviewers from ADEME?

31 Quality criteria proposed by ADEME Inherent quality Methodology conformity Inventories clarity Recognition Transparency 31

32 Methodology conformity – Definition of needs 32 The data must fulfill: The ISO norm Choice for impact categories Choice for methodologies (allocation rules, cut-off criteria…) The Annex A of BPX referential The requirements of the ADEME AFNOR platform Methodology and Product Category Working groups and of the Technical Committees for the ADEMEs database. Can these requirements be fulfilled ? Can the database accept to integrate some data that do not fulfill all the criteria ? For which criteria ?

33 Methodology conformity – Réf. BPX Le référentiel BP X s données doivent respecter : TopicExtract of the referential Mandatory or optionnal? RDC/ADEME Proposal GHG Take into account all the GHG mentionned in the BP X referential Mandatory GHG Take into account the timescale for GHG (some emissions are postponed) When relevant Relevance evaluation from product category working groups Consequence on tools linked to the DB as it will be necessary to use a correction factor on LCI No consequence on data in database Land use change Take into account impact due to land use chage When significant Who does assess if the criterion is significant ? Infrastructures Take into account impacts of infrastructures for transport and energy Mandatory Fulfill requirement proposed in conclusions of Energy and Transport Committees Exclusions Must be excluded : carbon compensation, home-work transports, advertising, customers transports Mandatory Cut off criteria Cut-off criteria on mass, environment and energy Mandatory for mass cut off criteria : 5% (95% of the mass formula has to be known precisely) Experiment environmental cut off criteria Delete energy cut off criteria Electricity Take into account production electrical mixes MandatoryProduction mix End of life Take into account the correct values for energy recovery at incineration, degradation rate at landfill To be defined by the End of Life Committee

34 Methodology conformity – Other requirements 34 Common methodological rules for any product (included in the methodological referential) Impacts allocation rules between co-products (e.g. : allocation leather / meat / milk) Sectorial rules (included in the product category referential) If they have a big influence on the environmental balance (e.g : allocation between leather and split leather) Technical Committees recommendations for upstream data Energy End of life Transport Must we require that the rules defined in a product category referential should be validated by the ADEME AFNOR Methodological Working Group in order to get more homogeneity?

35 Methodology conformity – How do the databases answer to the needs ? 35 Follow the ISO norm The norm principles are followed by any database. Fulfill the rules of BP X referential Do these requirements need to be adapted in so far as the data are not always able to pass the criteria ?

36 Methodology conformity – Proposal for AEME DB 36 Follow the ISO norm Choice of impact categories : from the product group and based on impact categories from JRC (LCIA) Fulfill the rules of BP X referential Proposal to make visible all information linked to the BPX fulfillment : possibility to have a complete vision of the Extension file Can we accept non-conform data ? Follow the common and sector- specific methodological choices In general, requirements will be defined in specificaions and call to tender

37 Fictive example of BP X fulfillment 37

38 Quality criteria proposed by ADEME Inherent quality Methodology conformity Inventories clarity Recognition Transparency 38

39 Inventories clarity – Definition of needs Criteria for inventories quality : Completeness of flows : have all the major contributing flows been taken into account ? Reliability of data (order of magnitude) Background precision : explanation of process specificity in terms of representativeness, yields, sources 39

40 Inventories clarity – How do the databases answer to the needs? Completeness of flows: qualitative check (cf. quality) Reliability of data in terms of order of magnitude : qualitative check (cf. quality) Background details : metadata well structured with fine level of detail Metadata fields structuration : ILCD, EcoInvent, GaBi Provided documentation : all databases 40

41 Inventories clarity – Proposal for ADEME DB Access to the elementary flow list that can be classified 41

42 Inventories clarity– Proposal for ADEME DB Automatic checks in order to check orders of magnitude : if the checks are not fullfilles, then alerts are created Check links between CO2 emissions and use of fossile fuels burning Check links between combustion processes and NOX and SOX emissions Check links between electricity processes and resource depletion Check links between transport, oil consumption and CO2 emissions Check links between water emissions and water consumption Check values for« Exotic flows » (usually very weak) 42

43 Inventories clarity – Proposal for ADEME DB ILCD format used for metadata with some « at first glance » criteria (fields must be filled and visible) seem easy to reahc ?43 Source Géo & techno representativene ss Unit Does the first vision of the Extension file fields seem easy to reach?

44 44 Temporal representativeness Unit Geographical representativeness Technological representativeness 2 nd visibility access Are the mandatory fields relevant ? ( )

45 45 Sources & Representativen ess Méthodo Completeness for flows 2 nd visibility access Are the mandatory fields relevant ( )?

46 46 Type of revision Les champs obligatoires ( ) sont-ils pertinents? 2 nd visibility access

47 Quality criteria proposed by ADEME Inherent quality Methodology conformity Inventories clarity Recognition Transparency 47

48 Recognition – Definition of needs The ADEMEs database will be public National recognition ADEME would like to join the ILCD Network International recognition What steps to check recognition ? Data supply Data quality requirement Calendar 48

49 Recognition –How do the dabases answer to the needs ? Quality and peer acceptance Documentation Provide a documentation Structure data into the ILCD fields (ILCD, EcoInvent) 49

50 Recognition – Proposal for ADEME DB Recognition is insured because of: Governance (data supply) Data quality validation Use of ILCD format 50

51 Quality criteria proposed by ADEME Inherent quality Methodology conformity Inventories clarity Recognition Transparency 51

52 Data transparency– Definition of needs Need to have a documentation and an access for the following topics: Data quality Data sources Methodogical assumptions 52

53 Data transparency – How do the databases answer to the needs ? Documentation Provide a documentation Structure data in some fields (ILCD, EcoInvent) 53

54 Data transparency – Proposal for ADEME DB Some fields of ILCD format will be mandatory Geographical, temporal and technological repesentativeness Short description of the data set Sources Date for the delivered version Availability of the documentation data in the supply channels Database providers: internet link to the source Co-production : available report Must this accessibility be systematic or on demand ? Industrial data (third part): availability before integration in the database According to the level of confidentiality, is it possible to remain data available ? 54

55 Agenda 55 Background and goal The ADEMEs database Content of the ADEMEs database Goal for management and quality guidelines Database building guidelines Format Homogeneity Quality Database utilization guidelines Update Integration of data Need for « default datasets » Confidentiality

56 Update – definition of needs 56 The database will evolve according to the principles of continuous improvement The needs for update are different : Deep update : modification of structure (in link with ILCD) Mid update : general modification due to a methodological modification Light update : ponctual update due to : Better knowledge Improvement in data quality and reliability

57 Update – How do the databases answer to the needs ? 57 Frequence for update depends on refinement of methodologies What is the frequency of the update for ILCD database ? What is the frequency of the update for other databases ?

58 Update – proposal for ADEME DB 58 Structure update mainly linked to evolutions of ILCD format Frequent revision according to some changes on upstream data (e.g. : electrical mix or new common data) : every 3 to 5 years Very frequent update for processes modfications Version nomenclature : XX.YY.ZZ. Z: minor modif, Y= common modif., X : structure modif Are the frequency proposed appropriate ?

59 Agenda 59 Background and goal The ADEMEs database Content of the ADEMEs database Goal for management and quality guidelines Database building guidelines Format Homogeneity Quality Database utilization guidelines Update Integration of data Need for « default datasets » Confidentiality

60 Integration of data – Proposal for ADEME DB 60 Archive file saved Miscellaneous checks Creation of the dataset in the database and storage of the XML file in a dedicated place Type of checkIf no fulfillment : rejectionIf no fulfillment : alert Format check XML structureX Are mandatory data present ?X Reference checks Does it exist some references in the import X LCA checksX

61 Agenda 61 Background and goal The ADEMEs database Content of the ADEMEs database Goal for management and quality guidelines Database building guidelines Format Homogeneity Quality Database utilization guidelines Update Integration of data Need for « default datasets » Confidentiality

62 Default dataset – definition of needs 62 The default datasets will more especially help to model for environmental labeling When the provider of data does not very precisely know the formulation of his product, he can ask for a default dataset that will help him : To check the mass cut off criteria To calculate the environmental balance

63 Default dataset – proposal for ADEME DB 2 possibilities for 2 needs : 1 : Definition of the build of materials : « I know what is in my product but I can not find the exact data set in the database » Model with a « default dataset » to choose Search for the user : « nearest dataset »: the user will choose the nearest dataset according to its knowledge And ADEME creates and proposes an average or maximum default dataset : average of maximum of impacts for the same kind of processes = « precise default dataset » What choice for non precise default dataset ? average, max or percentile ?

64 Default dataset – Proposal for ADEME DB Once the mass cut off criteria has been passed : 2 : Check environmental cut off criteria « How can we assess the environmental impact for the X% not modelled (X<5%) ? » ADEME creates and proposes a default dataset (maximum a priori). Each default dataset is defined on the basis of a large family of products (e.g. vegetables, …) = Non precise default dataset What choice for non precise default dataset ? average, max or percentile ? Must we leave this default datasets non visible in the database as they are very imprecise ?

65 Default dataset – Proposal for ADEME DB Need : the database must contain a conversion factor that will help to use default datasets in the mass balance. Proposal : Create a field « Reference flow weight in kg » in the « Extension » file Mandatory field for any component that could introduced in the mass balance : materials, components, ingredients, semi-finished goods.

66 Fictive example of the vision of the Extension file 66

67 Agenda 67 Background and goal The ADEMEs database Content of the ADEMEs database Goal for management and quality guidelines Database building guidelines Format Homogeneity Quality Database utilization guidelines Update Integration of data Need for « default datasets » Confidentiality

68 Confidentiality – definition of needs 68 The 3 data supply channels imply that it will be possible to integrate in the database some private data which could have problems of confidentiality. The ADEME wants to make some incentive in order that the database is step by step developed. Do we accept to integrate in the database some « private » data or must we require that the data will be public and therefore that there is a need to make the dataset anonymous ?

69 Confidentiality – proposal for ADEME DB 69 Proposal for 3 levels of diffusion : Public : No restrictions at publication Anonymous, public : Restriction on Source information Private Not available by another company AND threshold date : after this day, the status of the process is « public » OR wait for several LCI and calculation of an average that could become public. What would be the best proposal ?


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