Carbon Capture and Sequestration

Modelon's tools and methods allow customers to predict the outcome of different design and operational options on plant economy and safety.

The company has extensive knowledge and experience related to carbon capture and sequestration (CCS) technology, having delivered solutions to large energy suppliers for performance assessment of both absorption-based separation processes and CO2 transport pipelines.

Modelon has also been at the forefront of research into the best methods for modeling and simulating power plant conditions in a wide realm of scenarios.


  • Provides ability to create "what-if" real-time simulations for optimizing design and operations, saving time and improving safety
  • Delivers improved plant economy through system-level optimization
  • Offers flexibility to adapt operation simulations to changing regulatory conditions
  • Allows dynamic simulation of the separation plant to minimize operational costs for varying conditions
  • Gives access to tools and methods proven in the real world.

A dynamic model of a CO2 separation plant in Dymola

Simulation and optimization of carbon capture and sequestration (CCS) typically involves the following products:

  • Dymola for transient simulations of the power plant, the capture unit and the transport pipeline.
  • for dynamic optimization of the separation plant that aims at minimizing the operational cost for transients such as variations in the generated power, the emission cost or the electricity price. Both regulatory and operational constraints can be taken into account in the problem formulation.
  • A gas-liquid contactor model library for a detailed description of the absorption and solvent-regeneration dynamics. The models are validated with both experimental and literature data.
  • A simplified gas-liquid contactor model library that is suitable for dynamic optimization and real-time simulation of the capture plant.
  • A transmission line model for simulating pressure and flow transients in the transfer pipeline from the capture plant to a suitable underground storage. The model has been used to assess the risks for cavitation and water-hammer associated with gas-phase CO2 within the pipeline during normal and failure modes. 
  1. Mocholí Montañés, Rubén & Nord, Lars O. (2017) Dynamic Simulations of the Post-combustion CO2 Capture System of a Combined Cycle Power Plant. Linköping Electronic Conference Proceedings. vol. 132.
  2. Mocholí Montañés, Rubén; Flø, Nina Enaasen; Nord, Lars O.. (2017) Dynamic Process Model Validation and Control of the Amine Plant at CO2 Technology Centre Mongstad. Energies. vol. 10.
  3. Mocholí Montañés, Rubén; Flø, Nina Enaasen; Dutta, Rohan; Nord, Lars O.; Bolland, Olav. (2017) Dynamic Process Model Development and Validation with Transient Plant Data Collected from an MEA Test Campaign at the CO2 Technology Center Mongstad. Energy Procedia. vol. 114.
  4. "Post-combustion CO2 capture applied to a state-of-the-art coal-fired power plant—The influence of dynamic process conditions", Garðarsdóttir, S.O., et al., International Journal of Greenhouse Gas Control 33 (2015) pp. 51–62
  5. “Nonlinear Model Predictive Control for Operation of a Post-Combustion Absorption Unit”, J. Åkesson, G. Lavedan, K. Prölß, H. Tummescheit, S. Velut, International conference on energy process engineering, June 20 – 22, 2011, Frankfurt, Germany
  6. “Dynamic simulation of a carbon dioxide transfer pipeline for analysis of normal operation and failure modes”, S. Liljemark, K. Arvidsson, M. T.P. Mc Cann, H.Tummescheit, S. Velut, Energy Procedia, Volume 4, 10th International Conference on Greenhouse Gas Control Technologies, 2011, Pages 3040-3047, ISSN 1876-6102
  7. “Dynamic model of a post-combustion absorption unit for use in a non-linear model predictive control scheme”, K. Prölss, H. Tummescheit, S. Velut, J. Åkesson, Modelon AB, Energy Procedia, Volume 4, 10th International Conference on Greenhouse Gas Control Technologies, 2011, pp. 2620-2627, ISSN 1876-6102
  8. “Implementation of a transmission line model for fast simulation of fluid flow dynamics”, S.Velut, H.Tummescheit Modelon AB presented at Modelica Conference Germany, 2011
  9. “Models of a post-combustion absorption unit for simulation, optimization and non-linear model predictive control schemes”, J.Åkesson, R.Faber, C.D.Lair, K.Prölss, H.Tummescheit, S.Velut, Y.Zhu presented at Modelica Conference Germany, 2011