PhD opportunities

Absorption of acid gases by new chemical solvents : experimental study and kinetic modelling

Thesis proposal

Area of expertiseEnergy and Processes
Doctoral SchoolSMI - Sciences des Mtiers de l'Ingnieur
SupervisorM. Christophe COQUELET
Research unitEnergy and Processes
ContactCOQUELET Christophe
http://www.ctp.mines-paristech.fr
KeywordsSolvent, thermodynamics, mass transfer and chemical kinetics coupling, design of experimental device
AbstractNatural gas is both the lowest-carbon fuel in 2015, it contributed for 43% to worldwide heat networks and for 23% to the production of electricity , and a raw material for fertilizers, polymers and hydrogen, which is both essential for oil desulphuration, and nowadays considered for electro-mobility. For such uses, acid gases, such as H2S, CO2, and mercaptans of general formula R-SH must be eliminated. If CO2 and H2S molar fraction are lower than about 10%, they are most of time absorbed by aqueous basic solutions, as far as it is the more mature process. However, hydrocarbons (aromatic or aliphatic compounds) must be as insoluble as possible in these chemical solvents. Their choice, or solvent design is based on characterisation and models of their thermodynamic and thermo-physical properties, and on kinetic models of the coupling of reactions and transfer. The design of industrial absorption/desorption units builds on relevant and accurate thermodynamic and kinetic models too : phase diagrams of acid gases and hydrocarbons mixtures, contacted with alcanolamines and water mixtures, relation of transfer flow rates to pressure, concentrations and temperature, and to the hydrodynamics of gas-liquid contactors. Especially, the variation of these properties and flow rates when the liquid phase loading increases along a a packed column has to be known
ProfileEngineer and/or Master Research Good general and scientific knowledge. Fluent English and French. Good capacity for analysis, synthesis, innovation and communication. Adaptability and creativity are appreciated. Motivation for simultaneous experimental and model work. Consistency of the career objectives.

Process Engineering, experimental, and computing skills, skill for modelling.
FundingConvention CIFRE