Optimizing quality of Information in Raw Material data collection … · 2019-10-02 · ORAMA...
1
Michelle Wagner 1 , Jaco Huisman 2 , Pascal Leroy 3 , Maria Ljunggren Söderman 4 , Kristine Sperlich 5 , Lucia Herreras 3 1 United Nations University, Bonn, Germany; 2 European Commission-Joint Research Centre , Ispra, Italy; 3 WEEE Forum, Brussels, Belgium; 4 Chalmers University of Technology, Gothenburg, Sweden 5 Technical University Berlin (TUB), Berlin, Germany www.orama-h2020.eu Optimizing quality of Information in Raw Material data collection across Europe: “How can knowledge on secondary raw materials from WEEE be improved?“ Introduction Information needs and requirements Urban Mine Platform ORAMA preliminary results Conclusions Partners ORAMA focuses on optimizing and identifying best practices in collection of data for primary and secondary raw materials in EU Member States. The main barrier affecting a proper knowledge of the SRM in the Urban Mine is the lack of time-dependent, accurate composition knowledge, recycling flows and lack of information for the unaccounted trade flows. For more information: http ://www.urbanmineplatform.eu/homepage The “Gap” illustrates that there is still information missing due to lack of research, enforcement, stronger policies etc. Every year, in EU over 10 million tonnes of WEEE are estimated to reach their end of life. The Urban Mine platform provides a detailed inventory of available data of EEE placed on the market (POM), in stock (in use or hibernated at homes or businesses), and waste generated. A new classification system was developed to provide a harmonised data structure of data scattered over many different sources. ORAMA (H2020) aims to create robust Material Systems Analyses, connect data with JRC’s RMIS, identify best practices in projects, support policies and investments in Secondary Raw Material (SRM) Industries and develop protocols to update data. Knowledge on SRM will support: • policy makers to develop sound strategies and promote the creation and implementation of circular economy measures and indicators to use materials in a sustainable way. • universities and research institutes to gain access to harmonized statistics and data as well as more detailed product composition data to produce a more comprehensive Material Flow Analyses of the Urban Mine. • investors to understand when and where to find present and future quantities of material that can be “mined” and therefore invest in their recovery. 1. The uncertainty of quantifications of SRM in the Urban Mine is high with the currently available data sets, due to that current collection reporting is done (as averages) per (W)EEE category and not at product level. The UNU key classification used in UMP links various classification and gathers for both market inputs and outputs compositional estimates on SRM for each relevant flow (POM, collected, waste generated, waste bin among others). The level of detail as presented by the 54 UNU keys is needed and appropriate for the purpose of mapping (W)EEE flows without high uncertainty. 2. There are unclear boundaries between various stages and actors within waste management systems making it difficult to monitor the full whereabouts of the WEEE streams. 3. There is a need for improved harmonisation of data reporting practices to prevent inconsistencies and secure a more consistent declaration of product and waste compositions. 4. Unaccounted flows form a very relevant data gap, they include all waste flows that are not reported at national level under official compliance systems and potentially represent both a significant outflow as well as source for recovery of SRM due to their value. 1. Why is knowledge and improved data collection on Secondary Raw Materials (SRM) important? 2. Who benefits of the knowledge of SRM? 3. What information on SRM is relevant and why? Which level of detail is appropriate? 4. What further research is required to quantify SRM? Where have you experienced data gaps/ unharmonized data? Do you know any good practice examples? 5. How important is characterisation of waste streams? 6. Would you appreciate guidelines on data harmonization and degree of detail and apply it in your own field of work? 7. Are more legal requirements and enforcement needed for increasing the knowledge about the urban mine? Reported collection is severely affected by scavenging, complementary recycling and (illegal) trade of the most valuable products, components and materials. This is also a clear barrier for quantifying material recovery. As a result of the case study, it was estimated 22% of C&F appliances collected have been scavenged in south of France. EEE placed on Market data are generally available for the EU Member States. However its data quality and completeness needs to be improved to produce data for the SRM content in (W)EEE. The degree of detail is insufficient since data are reported according to the six categories defined in the WEEE Directive. Contribution of all EEE collection categories. Treatment of WEEE per Collection Category (W%) Data collection method analysis and recommendations for the improvement of WEEE flows Collected and complementary WEEE Flows 2015 against WEEE Generated (100%) in percent, EU28+2. For some elements such as gold (Au), being one of the key value driver behind material recycling, information is available. For others, such as platinum (Pt) and palladium (Pd) there is a lack of information for certain (W)EEE categories. Project Manager Dr. Perttu Mikkola (GTK) E-mail: [email protected] Scientific Coordinators Dr. Pasi Eilu (GTK) E-mail: [email protected] Technical Contact MSc. Michelle Wagner (UNU) E- mail: [email protected]
Transcript of Optimizing quality of Information in Raw Material data collection … · 2019-10-02 · ORAMA...
Michelle Wagner1, Jaco Huisman2, Pascal Leroy3, Maria Ljunggren Söderman4 , Kristine Sperlich5 , Lucia Herreras3
1United Nations University, Bonn, Germany; 2 European Commission-Joint Research Centre , Ispra, Italy; 3WEEE Forum, Brussels, Belgium;4Chalmers University of Technology, Gothenburg, Sweden 5 Technical University Berlin (TUB), Berlin, Germany
www.orama-h2020.eu
Optimizing quality of Information in Raw Material data collection across Europe:
“How can knowledge on secondary raw materials from WEEE be improved?“
Introduction
Information needs and requirements
Urban Mine Platform
ORAMA preliminary results
Conclusions Partners
ORAMA focuses on optimizing and identifying best practices incollection of data for primary and secondary raw materials inEU Member States.
The main barrier affecting a proper knowledge of the SRM inthe Urban Mine is the lack of time-dependent, accuratecomposition knowledge, recycling flows and lack ofinformation for the unaccounted trade flows.
For more information:
http://www.urbanmineplatform.eu/homepage
The “Gap” illustrates thatthere is still informationmissing due to lack ofresearch, enforcement,stronger policies etc.
Every year, in EU over 10 million tonnes of WEEE are estimated to reach their end of life. The UrbanMine platform provides a detailed inventory of available data of EEE placed on the market (POM), instock (in use or hibernated at homes or businesses), and waste generated. A new classificationsystem was developed to provide a harmonised data structure of data scattered over many differentsources.ORAMA (H2020) aims to create robust Material Systems Analyses, connect data with JRC’s RMIS,identify best practices in projects, support policies and investments in Secondary Raw Material (SRM)Industries and develop protocols to update data.
Knowledge on SRM will support:• policy makers to develop sound strategies and promote the creation and
implementation of circular economy measures and indicators to use materials in asustainable way.
• universities and research institutes to gain access to harmonized statistics and data aswell as more detailed product composition data to produce a more comprehensiveMaterial Flow Analyses of the Urban Mine.
• investors to understand when and where to find present and future quantities ofmaterial that can be “mined” and therefore invest in their recovery.
1. The uncertainty of quantifications of SRM in the Urban Mine is high with the currently available data sets, dueto that current collection reporting is done (as averages) per (W)EEE category and not at product level. TheUNU key classification used in UMP links various classification and gathers for both market inputs and outputscompositional estimates on SRM for each relevant flow (POM, collected, waste generated, waste bin amongothers). The level of detail as presented by the 54 UNU keys is needed and appropriate for the purpose ofmapping (W)EEE flows without high uncertainty.
2. There are unclear boundaries between various stages and actors within waste management systems making itdifficult to monitor the full whereabouts of the WEEE streams.
3. There is a need for improved harmonisation of data reporting practices to prevent inconsistencies and secure amore consistent declaration of product and waste compositions.
4. Unaccounted flows form a very relevant data gap, they include all waste flows that are not reported at nationallevel under official compliance systems and potentially represent both a significant outflow as well as sourcefor recovery of SRM due to their value.
1. Why is knowledge and improved data collection on Secondary RawMaterials (SRM) important?
2. Who benefits of the knowledge of SRM?
3. What information on SRM is relevant and why? Which level of detailis appropriate?
4. What further research is required to quantify SRM? Where have youexperienced data gaps/ unharmonized data? Do you know any goodpractice examples?
5. How important is characterisation of waste streams?
6. Would you appreciate guidelines on data harmonization and degreeof detail and apply it in your own field of work?
7. Are more legal requirements and enforcement needed for increasingthe knowledge about the urban mine?
Reported collection is severely affected byscavenging, complementary recycling and(illegal) trade of the most valuableproducts, components and materials. Thisis also a clear barrier for quantifyingmaterial recovery.
As a result of the case study, it wasestimated 22% of C&F appliances collectedhave been scavenged in south of France.
EEE placed on Market data are generallyavailable for the EU Member States.However its data quality and completenessneeds to be improved to produce data forthe SRM content in (W)EEE. The degree ofdetail is insufficient since data arereported according to the six categoriesdefined in the WEEE Directive.
Contribution of all EEE collection categories.
Treatment of WEEE per Collection Category (W%)
Data collection method analysis and recommendations for the improvement of WEEE flows
Collected and complementary WEEE Flows 2015 against WEEE Generated (100%) in percent, EU28+2.
For some elements such as gold (Au), being one of the key value driver behind material recycling, information is available. For others, such as platinum (Pt) and palladium (Pd) there is a lack of information for certain (W)EEE categories.
Project ManagerDr. Perttu Mikkola (GTK) E-mail: [email protected]
Scientific CoordinatorsDr. Pasi Eilu (GTK) E-mail: [email protected]
Technical ContactMSc. Michelle Wagner (UNU) E- mail: [email protected]
