Indeed, CDW is the main source of waste in the EU and currently, an important part of this flow is made of materials that can be potentially recycled (glass, concrete, …) but with a recycling potential still under-exploited. Moreover, recycling performances between EU Member States (MS) differ significantly between MS (from 10% to 90%), showing that MS with the lowest recycling performances can certainly improve by applying good practices from MS with the highest recycling performances. The potential to increase construction resource efficiency by increasing CDW recycling rate is significant. However, identifying and transferring good practices is not an easy task. In fact, practical management of CDW greatly varies across MS (due to local variations in context, legislation, enforcement, and construction practices). Moreover, monitoring and data capture of recycling performance are often not accurate, due to traceability and availability issues. Monitoring performances in recycling CDW is a real challenge that the MS and European authorities are facing.
The purposes of this study are to :
- perform a screening of CDW policies and management practices in the 28 EU Member States
- analyse obstacles to recycling and deficiencies in CDW waste management practices leading to non-compliance with waste hierarchy and to the reach of recovery target;
- illustrate key elements in CDW management, and especially success stories and preconditions based on 6 case studies;
- identify good practices allowing recycling rate to increase and improving quality of recycling and recovery;
- formulate recommendations to address deficiencies identified;
- Evaluate current reliability of CDW statistics reporting and identify source of inaccuracy and lack of traceability.
- Establish recommendations in order to allow reliable official CDW statistics.
This project is led by BIO by Deloitte, together with two co-contractors (ICEDD, BRE) and three subcontractors (RPS, VTT and FCT/UNL). It is funded by the European Commission (DG ENVI).
ICEDD is in charge of Task 4: assessment of the reliability of CDW statistics, including plausibility checks. Proposals for the improvement of CDW statistics.
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