ROLINCAP will search, identify and test novel phase-change solvents, including aqueous and non-aqueous options, as well as phase-change packed bed and Rotating Packed Bed processes for post-combustion CO2 capture. These are high-potential technologies, still in their infancy, with initial evidence pointing to regeneration energy requirements below 2.0 GJ/ton CO2 and considerable reduction of the equipment size, several times compared to conventional processes . These goals will be approached through a holistic decision making framework consisting of methods for modeling and design that have the potential for real breakthroughs in CO2 capture research. The tools proposed in ROLINCAP will cover a vast space of solvent and process options going far beyond the capabilities of existing simulators. ROLINCAP follows a radically new path by proposing one predictive modelling framework, in the form of the SAFT-γ equation of state, for both physical and chemical equilibrium, for a wide range of phase behaviours and of molecular structures. The envisaged thermodynamic model will be used in optimization-based Computer-aided Molecular Design of phase-change solvents in order to identify options beyond the very few previously identified phase-change solvents. Advanced process design approaches will be used for the development of highly intensified Rotating Packed Bed processes. Phase-change solvents will be considered with respect to their economic and operability RPB process characteristics. The sustainability of both the new solvents and the packed-bed and RPB processes will be investigated considering holistic Life Cycle Assessment analysis and Safety Health and Environmental Hazard assessment. Selected phase-change solvents, new RPB column concepts and packing materials will be tested at TRL 4 and 5 pilot plants. Software in the form of a new SAFT-γ equation of state will be tested at TRL 5 in the gPROMS process simulator.

The IoF2020 project is dedicated to accelerate adoption of IoT for securing sufficient, safe and healthy food and to strengthen competitiveness of farming and food chains in Europe. It will consolidate Europe’s leading position in the global IoT industry by fostering a symbiotic ecosystem of farmers, food industry, technology providers and research institutes. The IoF2020 consortium of 73 partners, led by Wageningen UR and other core partners of previous key projects such as FIWARE and IoT-A, will leverage the ecosystem and architecture that was established in those projects. The heart of the project is formed by 19 use cases grouped in 5 trials with end users from the Arable, Dairy, Fruits, Vegetables and Meat verticals and IoT integrators that will demonstrate the business case of innovative IoT solutions for a large number of application areas. A lean multi-actor approach focusing on user acceptability, stakeholder engagement and sustainable business models will boost technology and market readiness levels and bring end user adoption to the next stage. This development will be enhanced by an open IoT architecture and infrastructure of reusable components based on existing standards and a security and privacy framework. Anticipating vast technological developments and emerging challenges for farming and food, the 4-year project stays agile through dynamic budgeting and adaptive decision-making by an implementation board of representatives from key user organizations. A 6 M€ mid-term open call will allow for testing intermediate results and extending the project with technical solutions and test sites. A coherent dissemination strategy for use case products and project learnings supported by leading user organizations will ensure a high market visibility and an increased learning curve. Thus IoF2020 will pave the way for data-driven farming, autonomous operations, virtual food chains and personalized nutrition for European citizens.