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Open AccessArticle

Supercritical CO2 Transesterification of Triolein to Methyl-Oleate in a Batch Reactor: Experimental and Simulation Results

1
Department of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, PA 19104-6393, USA
2
Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
3
Department of Chemical and Biomolecular Engineering, Lafayette College, Easton, PA 18042, USA
4
Department of Chemical and Environmental Engineering, Yale University, New Haven, CT 06511, USA
*
Author to whom correspondence should be addressed.
Processes 2019, 7(1), 16; https://doi.org/10.3390/pr7010016
Received: 16 October 2018 / Revised: 21 December 2018 / Accepted: 25 December 2018 / Published: 1 January 2019
(This article belongs to the Special Issue Modeling and Simulation of Energy Systems)
In earlier work (Silva et al., 2016; Soh et al., 2014a; Soh et al., 2015), the supercritical CO2 transesterification of triolein to methyl-oleate using Nafion solid-acid catalyst and large methanol/triolein molar feed ratios was carried out. Herein, these ratios are adjusted (from 50–550) to evaluate the yield of fatty acid methyl esters in batch laboratory reactors as temperature is varied from 80–95 °C and pressure is varied from 8.0–9.65 MPa. Also, to better understand the effect of varying these operating parameters, batch reactor simulations using the Soave-Redlich-Kwong Equation of State (RK-ASPEN EOS) in ASPEN PLUS are carried-out. A single-reaction kinetic model is used and phase equilibrium is computed as the reactions proceed. Experimental data are compared with these results. View Full-Text
Keywords: multiphase equilibrium; RK-ASPEN; methyl-oleate; biodiesel; supercritical CO2 multiphase equilibrium; RK-ASPEN; methyl-oleate; biodiesel; supercritical CO2
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MDPI and ACS Style

Yadav, G.; Fabiano, L.A.; Soh, L.; Zimmerman, J.; Sen, R.; Seider, W.D. Supercritical CO2 Transesterification of Triolein to Methyl-Oleate in a Batch Reactor: Experimental and Simulation Results. Processes 2019, 7, 16.

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