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Optimization of CO2 absorption of the flue gas with MEA solvent using Response Surface Methodology

Credit to Download: 1 | Page Numbers 6 | Abstract Views: 55
Year: 2019
COI code: IRCCE06_055
Paper Language: English

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Authors Optimization of CO2 absorption of the flue gas with MEA solvent using Response Surface Methodology

  Mohammad Ali Nobakht - Department of Chemical Engineering, Iran University of Science and Technology, Tehran, Iran
  Shahrokh Shahhosseini - Department of Chemical Engineering, Iran University of Science and Technology, Tehran, Iran

Abstract:

One of the reasons for capturing CO2 is to prevent increasing global temperature and climate change. In this work, an absorption solvent such as monoethanolamine (MEA) has been chosen to absorb the flue gas from a cement factory. The effects of the process parameters such as temperature, the number of trays and mass fraction percentage have been investigated using HYSYS and Design Expert software to optimize the process. Methods of Response Surface Methodology (RSM) and central composite design (CCD) have been applied to find the best rate of CO2 absorption. At the optimal condition, mass fraction of MEA and process efficiency was 23.75% and 94.2%, respectively. Whereas, in the industrial operating condition, mass fraction of MEA is 28% and process efficiency is 97%. Therefore, approximately 5% less MEA mass fraction has been used in this work, which is equal to 181.2 Tone per hour of MEA.

Keywords:

CO2 absorption, RSM, MEA solvent, HYSYS, Design-Expert.

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COI code: IRCCE06_055

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Nobakht, Mohammad Ali & Shahrokh Shahhosseini, 2019, Optimization of CO2 absorption of the flue gas with MEA solvent using Response Surface Methodology, 6th International Conference on Chemical and Chemical Engineering, تهران, دبيرخانه دائمي كنفرانس, https://www.civilica.com/Paper-IRCCE06-IRCCE06_055.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Nobakht, Mohammad Ali & Shahrokh Shahhosseini, 2019)
Second and more: (Nobakht & Shahhosseini, 2019)
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Type: state university
Paper No.: 20394
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