Funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.3, Theme 10.
Environmental performance of new-products and processes from the previous tasks for sustainable food systems and achieving the Sustainable Development Goals (SDGs) following a cradle to grave approach (in connection with Spokes 1 and 7).
Life Cycle Inventory Report (M24)
Report on environmental impacts of new products/processes based on control/reduction of logistic/operational contributions (M24)
Report on environmental & climate performance of new bio-based processes and products (M36).
According to the FAO, one third of global food production is wasted every year. In this scenario, wastes from the agri-food chain can be seen as precursors of new materials, reducing the exploitation of non-renewable raw materials. This goal is crucial part of the "2030 Agenda". In particular, SDG12 aims to guarantee sustainable models of production and consumption by aiming to "do more and better with less", increasing the benefits in terms of well-being derived from economic activities, through the reduction of the use of resources, degradation and pollution in the entire production cycle. However, if circularity seems to be sustainable in terms of resource recovery, there is a range of different environmental aspects to be considered together with social sustainability. Life cycle assessment needs to be used to get an overall environmental assessment of different waste management systems and related new processes and products proposed in the different project’s tasks.
Data from the experimental activities implemented in the tasks 2.1.1., 2.1.2, 2.1.3, and 2.1.4, will be analyzed to get a picture of the environmental, economic and energetic aspects from circular economy-based actions (UNICAT, CNR, UNIMI). To ease the enterprises in the re-use of by-products and wastes in the food / feed / non-food supply chains, possible tax relief tools will be investigated (UNIBA). Environmental hot spots of the studied processes will be defined in order to optimize the processes. LCA could be applied to: