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Intensified alternative to purify methyl-Ethyl ketone in a framework of green process

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  • Sánchez-Ramírez, Eduardo
  • Quiroz-Ramírez, Juan José
  • Contreras-Zarazua, Gabriel
  • Hernández-Castro, Salvador
  • Alcocer-García, Heriberto
  • Segovia-Hernández, Juan Gabriel

Abstract

Methyl-Ethyl Ketone (MEK) is a promising bulk chemical due to its several applications. MEK can be produced by hydrogenation of 2, 3-Butanediol, a chemical previously produced by fermentation. As hydrogenation results, the output is composed of water, isobutyraldehyde, 2, 3-Butanediol, and Methyl-ethyl ketone. Because of the thermodynamic interactions, two azeotropes are formed; consequently, the purification of that mixture is challenging. Current needs promote the generation of alternatives with good economic and environmental performance, however, inherent safety and good controllability must also be accomplished. In this study an intensified process is proposed to reduce the energy investment for MEK purification. The alternative is a hybrid process that combines the advantages of using a liquid-liquid extraction column for handling the azeotropes aforementioned. Additionally, this proposal is compared with four alternatives previously proposed based only on distillation. All alternatives were modeled in Aspen Plus and were optimized considering four targets, the total annual cost, the eco-indicator 99, the individual risk, and the condition number as economic, environmental, safety and controllability indexes, respectively. As a result, interesting trends among objectives and design variables were found. Additionally, the intensified design reported an energy investment of 6.78 MJfuel/kgMEK, and the best pure distillation alternative 35.5 MJfuel/KgMEK.

Suggested Citation

  • Sánchez-Ramírez, Eduardo & Quiroz-Ramírez, Juan José & Contreras-Zarazua, Gabriel & Hernández-Castro, Salvador & Alcocer-García, Heriberto & Segovia-Hernández, Juan Gabriel, 2021. "Intensified alternative to purify methyl-Ethyl ketone in a framework of green process," Energy, Elsevier, vol. 220(C).
  • Handle: RePEc:eee:energy:v:220:y:2021:i:c:s0360544220327481
    DOI: 10.1016/j.energy.2020.119641
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    1. Kumar, Manish & Gayen, Kalyan, 2011. "Developments in biobutanol production: New insights," Applied Energy, Elsevier, vol. 88(6), pages 1999-2012, June.
    2. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
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