Objective
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.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesphysical sciencesthermodynamics
- engineering and technologyenvironmental engineeringenergy and fuelsfossil energynatural gas
- social sciencessociologygovernancecrisis management
- engineering and technologyenvironmental engineeringcarbon capture engineering
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
57001 Thermi Thessaloniki
Greece