Innovative application of statistical analysis for the optimization of CO2 absorption from flue gas with ionic liquid

Grazia Leonzio*, E. Zondervan

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

1 Citation (Scopus)

Abstract

In this research, a model for the physical absorption of CO2 from flue gas with [hmim][Tf2N] ionic liquid, an innovative solvent used in the last CO2 absorption processes, is developed in Aspen Plus and optimized through a central composite design by using Minitab. Then a unique combination of simulation and statistical analysis is carried out for the process. The aim is to find the optimal operating conditions that can maximize the amount of captured CO2 while minimizing the total costs. The study shows the percentage of CO2 removal is 93.7%, operating costs are 0.279 trillion euro/a and capital costs are 21.9 million euro/year. The obtained results are in agreement with other works reported in literature, considering the high cost for ionic liquid.

Original languageEnglish
Pages (from-to)151-156
Number of pages6
JournalComputer aided chemical engineering
Volume46
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event29th European Symposium on Computer Aided Process Engineering, ESCAPE 2019 - Eindhoven, Netherlands
Duration: 16 Jun 201919 Jun 2019
Conference number: 29

Keywords

  • CO capture
  • ionic liquid
  • optimization
  • process simulation
  • statistical analysis

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