Multi-objective optimisation of a Rectisol™ process for carbon capture

Ishan Sharma, Andrew F.A. Hoadley, Sanjay M. Mahajani, Anuradda Ganesh

Research output: Contribution to journalArticleResearchpeer-review

21 Citations (Scopus)


In the present work, a standalone Rectisol™ unit for carbon capture has been optimised with a Multi-Objective Optimisation (MOO) perspective. The energy penalty and carbon dioxide capture rate have been simultaneously optimised to get the best operating conditions for various carbon dioxide capture rates. The Rectisol™ process typically has high refrigeration demand. Hence, any optimisation of Rectisol™ is incomplete without simultaneous optimisation of the refrigeration system. Hence, in this work, the refrigeration system has also been optimised with the help of a separate algorithm. Two options for pressurising the captured carbon dioxide, i.e. by condensation and pumping the carbon dioxide (Case-I) and by compression (Case-II), have also been compared. The results show that Case-I performs better for low capture rates compared to Case-II. However, the relative difference between the two diminishes with increasing capture rates.

Original languageEnglish
Pages (from-to)196-206
Number of pages11
JournalJournal of Cleaner Production
Publication statusPublished - 15 Apr 2016


  • Carbon capture
  • Carbon dioxide condensation
  • Genetic algorithm
  • Process integration
  • Process optimisation
  • Rectisol

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