The RECONMATIC project is a consortium of 23 global partners from 7 institutions, 10 small to medium enterprises, 5 large companies, and 1 association across the EU, UK and China. As a part of the project, we aim contribute to solutions that will be easily adaptable by all stakeholders involved in the processes of Construction and Demolition Waste Management (CDW) to reach the expected future EU target of high CDW recovery and aim to reach zero CDW by 2050.

CDW contributes to 45% of global waste

The construction and demolition industry is estimated to create a third of the world’s overall waste, and at least 45% of the world’s carbon dioxide emissions. BIMBox, alongside the RECONMATIC consortium are working on standardising construction and destruction waste information exchange, a dataset being referred to as WASTEie.

When discussing sustainability within construction, waste is not the first topic due to carbon and energy initiatives taking to the forefront. Information Managers are able to uniquely contribute to the collective advancement of the industry’s path towards zero carbon in construction and demolition waste. RECONMATIC is an initiative created to develop practical applications to better identify and minimise construction and demolition waste (CDW).

CDW has to be treated and controlled to be provide materials to be reused for higher valued products with quality assurance and traceability.


IFC (Industry Foundation Classes) schema is used for parameter mapping, since it can be utilised by numerous software vendors. Further to this, to develop WASTEie, the yet to be published Information Delivery Specification (IDS) is planned to be used.

The development of the standardised dataset will be a pivotal innovation, as this does not currently exist for waste related aspects. Once live, it is intended to provide clearer routes for collaboration which estates teams, contractors and designers alike can use to take advantage of BIM and digital construction processes to proactively reduce waste.

Alongside this, the team will employ generative design tools to establish AI-driven optimisation initiatives, such as waste predictor tools. These will interlink with the MDB and WASTEie dataset to ensure the same data and language is used throughout and can support new and existing developments.


The project, funded by UK Research and Innovation (UKRI) and Horizon Europe – the EU’s key R&D funding programme – will see the creation of solutions that will be easily adoptable by all stakeholders involved in the processes of CDW, in order to reach the expected future EU target of high CDW recovery (to be set in 2024 or beyond) and most importantly the status of zero CDW by 2050.

Photography Credit: Morgan Sindall Construction

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