Distributed Model Predictive Control of an Amine Gas Sweetening Plant

Manjiri Moharir, Davood B. Pourkargar, Ali Almansoori, Prodromos Daoutidis

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


This paper addresses the plant-wide control of the amine gas sweetening plant using distributed model predictive control. The plant is fed natural gas containing sour gases (hydrogen sulfide and carbon dioxide), which are removed by absorption in monoethanolamine solution. A plant decomposition algorithm based on modularity maximization for distributed parameter systems is used to obtain the optimal decomposition for distributed model predictive control. Comparisons are drawn among the performance and computational requirements of distributed, decentralized, and centralized model predictive controls.

Original languageEnglish (US)
Pages (from-to)13103-13115
Number of pages13
JournalIndustrial and Engineering Chemistry Research
Issue number39
StatePublished - Oct 3 2018

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© 2018 American Chemical Society.


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