RETROFEED main objective is to enable the use of an increasingly variable, bio-based and circular feedstock in process industries through the retrofitting of core equipment and the implementation of an advanced monitoring and control system, and providing support to the plant operators by means of a DSS covering the production chain. This approach will be demonstrated in five resource and energy intensive sectors (ceramic, cement, aluminium, steel, and agrochemical) with the potential to reach in average an increase of 22% in resource efficiency and 19% in energy efficiency, with a consequent reduction in costs and GHG emissions of 9.3 M€ and 135 kton CO2 respectively. Furthermore, the project aims to develop a methodology to support retrofitting in resource and energy intensive industries that will be complemented by a decision support system able to perform a diagnosis of the impact in the process of different retrofitting solutions so plant managers and operators can decide on the most suitable retrofitting action for their companies. This decision support system will remain operative after the modification of the process so it can ease the operation of the process under the increased variability of feedstock by analysing a set of key indicators defined within RETROFEED over the production chain for this purpose. RETROFEED consortium comprises strong industrial participation; 9 large companies, including 5 of them as final users, and 4 SMEs as technology providers, working with experienced RTOs and supporting entities. The private investment associated to RETROFEED is over 7M€ along the execution of the project. Lastly, RETROFEED is expected not only to enable technological advances in the technologies and demonstrators involved but will also contribute to the development of new standards, regulations, training programmes, and adaptation and certification of industrial processes thus facilitating the replication of the project results within the EU industry.

The main objective of the project is to develop solutions to recover the waste heat produced in energetic intensive processes of industrial sectors such as cement, glass, steelmaking and petrochemical and transform it into useful energy. These solutions will be designed after an evaluation of the energetic situation of these four industries and will deal with the development of Waste Heat Recovery Systems (WHRS) based on the Organic Rankine Cycle (ORC) technology. This technology is able to recover and transform the thermal energy of the flue gases of EII into electric power for internal or external use. Furthermore, a WHRS will be developed and tested to recover and transform the thermal energy of the flue gases of EII into mechanical energy for internal use (compressors). In order to reach this objective several challenging innovative aspects will have to be approached by the consortium. It is planned to design and develop a multisectorial direct heat exchanger to transfer heat directly from the flue gases to the organic fluid of the ORC system and to develop new heat conductor and anticorrosive materials to be used in parts of the heat exchanger in contact with the flue gases. These aspects will be completed by the design and modelling of a new integrated monitoring and control system for the addressed sectors. The consortium consists of 8 partners from 4 European countries. They cover several relevant sectors of the energy intensive industry, namely cement, steel, glass and petrochemical sectors. The industrial involvement in the project is significant and the project addresses the implementation of a full demonstration of the WHRS for electrical energy generation in one of the industrial partners (CEMENTI ROSSI) and a semi-validation of the WHRS for air compressors energy supply system at pilot scale.

Agricultural policies like the EU CAP are widening the scope to contribute to the Paris climate agreement and the Sustainability Development Goals. From the Commission's legislative proposals (June 2018) it is expected that the European Union (EU) Common Agricultural Policy (CAP) will be redesigned in line with this. Consequences are among others a move of the CAP to farm specific measures and an improved link to environment, climate change and ecosystem services. It is proposed that Member States and regions develop their own CAP strategic plan with more attention to the regional implementation of the CAP. This wider scope and measures with a focus on individual farmers ask for a new generation of impact assessment tools. Current state-of-the-art agricultural models are not able to deliver individual farm and local effects as they are specified at higher levels of aggregation. Making use of improved possibilities opened up by progress in the ICT area, our project MIND STEP will improve exploitation of available agricultural and biophysical data and will include the individual decision making (IDM) unit in policy models. Based on a common data framework MIND STEP will develop IDM models, including agent-based models, focussing on different topics in an integrated manner in different regional case studies. The IDM models will be estimated and calibrated using agricultural statistics and big datasets, drawing on established econometric and evolving machine learning techniques and using both traditional models of optimising behaviour and theories from behavioural economics. MIND STEP will closely cooperate with a range of stakeholders to co-create and apply the MIND STEP model toolbox to selected regional, national and EU wide policy cases. MIND STEP cooperates with other consortia under the topic to share ideas and innovations. Finally, MIND STEP develops an Exploitation Strategy and Plan to guarantee the sustainability of the project results upon its completion.