A thermodynamic-based mixed-integer linear model of post-combustion carbon capture for reliable use in energy system optimisation

Lukas Weimann, Guus Dubbink, Louis van der Ham, Matteo Gazzani*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
14174 Downloads (Pure)

Abstract

Assessing the role of carbon capture in energy systems dominated by non-dispatchable renewable energy sources requires a reliable and accurate model. However, carbon capture models used in complex systems optimisation are often very simplified. Therefore, we developed a mixed-integer linear model of post-combustion carbon capture starting from rigorous thermodynamic modelling in Aspen Plus. The final model decides the size and the operation of the capture process and returns the cost and energy requirements as a function of the CO2 concentration and the flow rate of the treated flue gas. Validation against actual plant data (Petra Nova) showed excellent accuracy with a deviation in total CO2 captured of just 2%. By applying the model to an exemplary case study, we show that it allows for co-optimising renewables deployment and carbon capture design and operation for a gas turbine, thus opening opportunities to explore new system designs of practical added value.

Original languageEnglish
Article number120738
Number of pages16
JournalApplied energy
Volume336
Early online date15 Feb 2023
DOIs
Publication statusPublished - 15 Apr 2023

Keywords

  • UT-Hybrid-D
  • Energy system
  • MEA
  • MILP
  • Optimisation
  • Carbon capture

Fingerprint

Dive into the research topics of 'A thermodynamic-based mixed-integer linear model of post-combustion carbon capture for reliable use in energy system optimisation'. Together they form a unique fingerprint.

Cite this