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 (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- 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
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback.
You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Call for proposal
(opens in new window) H2020-LCE-2016-2017
See other projects for this callSub call
H2020-LCE-2016-RES-CCS-RIA
Funding Scheme
RIA - Research and Innovation actionCoordinator
57001 Thermi Thessaloniki
Greece