Innovative biodiesel production in a reactive dividing-wall column

A. A. Kiss; J. G. Segovia-Hernández; C. S. Bildea; E. Y. Miranda-Galindo; S. Hernández

doi:10.1016/B978-0-444-59519-5.50105-2

Innovative biodiesel production in a reactive dividing-wall column

A. A. Kiss, J. G. Segovia-Hernández, C. S. Bildea, E. Y. Miranda-Galindo, S. Hernández

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

This study proposes a novel biodiesel process based on a reactive dividing-wall column (DWC) that allows the use of only ∼15% excess of methanol to completely convert the fatty acids feedstock. Fatty acid methyl esters (FAME) are produced as pure bottom product, water as side stream, while the methanol excess is recovered as top distillate and recycled. The optimal configuration was established by using simulated annealing (SA) as optimization method implemented in Mathworks Matlab, and coupled with rigorous simulations carried out in AspenTech Aspen Plus. The generated improved design alternatives allow lower investment costs, and up to 25% energy savings.

Original language	English
Pages (from-to)	522-526
Number of pages	5
Journal	Computer Aided Chemical Engineering
Volume	30
DOIs	https://doi.org/10.1016/B978-0-444-59519-5.50105-2
Publication status	Published - 2012
Externally published	Yes

Keywords

Energy savings
FAME
Optimal design
R-DWC
Simulated annealing

ASJC Scopus subject areas

Chemical Engineering(all)
Computer Science Applications

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10.1016/B978-0-444-59519-5.50105-2

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AU - Segovia-Hernández, J. G.

AU - Bildea, C. S.

AU - Miranda-Galindo, E. Y.

AU - Hernández, S.

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AB - This study proposes a novel biodiesel process based on a reactive dividing-wall column (DWC) that allows the use of only ∼15% excess of methanol to completely convert the fatty acids feedstock. Fatty acid methyl esters (FAME) are produced as pure bottom product, water as side stream, while the methanol excess is recovered as top distillate and recycled. The optimal configuration was established by using simulated annealing (SA) as optimization method implemented in Mathworks Matlab, and coupled with rigorous simulations carried out in AspenTech Aspen Plus. The generated improved design alternatives allow lower investment costs, and up to 25% energy savings.

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