Research tasks

Thermodynamics for multi-component CO2 mixtures
Since the CO2 stream involves several impurities, reliable thermodynamic models for multi-component CO2 mixtures are required. Existing commercial simulation tools are not able to provide correct thermodynamic information for such mixtures. Inaccuracy in thermodynamic models can result in inaccurate process simulation and inaccurate estimates of energy consumption, and often in overestimated water solubility.

The objectives of this task are:

  • To develop and analyse new models/parameters for the CO2 mixtures with components that have been identified as critical for the behaviour of the CO2 stream during  transport and injection
  • Provide the flow model with the necessary thermodynamic functions and properties so that it can handle multi-component CO2 mixtures i.e. develop a robust interface between the flow and thermodynamic models

PhD project:

  • Candidate: Mohamed Ibrahim
  • Project start: April 2011
  • Working title: Thermodynamics and transport properties for CO2 mixtures
  • Supervisor: Ivar S. Ertesvåg
  • Co-supervisor: Geir Skaugen 


Fluid dynamics for CO2 transport and injection
The objective is to analyse and improve existing models for one-dimensional multi-component two-phase flow regarding their applicability to the case of CO2 transport and injection.

Research topics:

  • Assessment of multi-component two-phase flow models
  • Flow-regime modelling

Numerical methods for compressible multi-component two-phase flow
The objective is to solve the mathematical models under study in an accurate, robust and efficient way, including transient phenomena, such as pressure and volume-fraction waves.

Research topics:

  • Explicit schemes for the multi-component drift-flux model
  • Exploration of the applicability of implicit or semi-implicit schemes to the current model and application.
  • Heat-transfer models

PhD project:


Published June 6, 2011

Contacts:

Mona Jacobsen Mølnvik  
SINTEF Energy Research

Svend Tollak Munkejord  
SINTEF Energy Research