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Article

Development of Molecular Distillation Based Simulation and Optimization of Refined Palm Oil Process Based on Response Surface Methodology

1
Department of Chemical Engineering, Prince of Songkla University, Songkhla 90112, Thailand
2
Chemical Engineering Division, School of Engineering, University of Bradford, West Yorkshire BD7 1DP, UK
*
Author to whom correspondence should be addressed.
Processes 2017, 5(3), 40; https://doi.org/10.3390/pr5030040
Received: 1 June 2017 / Revised: 3 July 2017 / Accepted: 3 July 2017 / Published: 16 July 2017
The deodorization of the refined palm oil process is simulated here using ASPEN HYSYS. In the absence of a library molecular distillation (MD) process in ASPEN HYSYS, first, a single flash vessel is considered to represent a falling film MD process which is simulated for a binary system taken from the literature and the model predictions are compared with the published work based on ASPEN PLUS and DISMOL. Second, the developed MD process is extended to simulate the deodorization process. Parameter estimation technique is used to estimate the Antoine’s parameters based on literature data to calculate the pure component vapor pressure. The model predictions are then validated against the patented results of refining edible oil rich in natural carotenes and vitamin E and simulation results were found to be in good agreement, within a ±2% error of the patented results. Third, Response Surface Methodology (RSM) is employed to develop non-linear second-order polynomial equations based model for the deodorization process and the effects of various operating parameters on the performance of the process are studied. Finally, an optimization framework is developed to maximize the concentration of beta-carotene, tocopherol and free fatty acid while optimizing the feed flow rate, temperature and pressure subject to process constrains. The optimum results of feed flow rate, temperature, and pressure were determined as 1291 kg/h, 147 °C and 0.0007 kPa respectively, and the concentration responses of beta- carotene, tocopherol and free fatty acid were found to be 0.000575, 0.000937 and 0.999840 respectively. View Full-Text
Keywords: process simulation; ASPEN HYSYS; molecular distillation; response surface methodology; optimization process simulation; ASPEN HYSYS; molecular distillation; response surface methodology; optimization
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MDPI and ACS Style

Tehlah, N.; Kaewpradit, P.; Mujtaba, I.M. Development of Molecular Distillation Based Simulation and Optimization of Refined Palm Oil Process Based on Response Surface Methodology. Processes 2017, 5, 40. https://doi.org/10.3390/pr5030040

AMA Style

Tehlah N, Kaewpradit P, Mujtaba IM. Development of Molecular Distillation Based Simulation and Optimization of Refined Palm Oil Process Based on Response Surface Methodology. Processes. 2017; 5(3):40. https://doi.org/10.3390/pr5030040

Chicago/Turabian Style

Tehlah, Noree; Kaewpradit, Pornsiri; Mujtaba, Iqbal M. 2017. "Development of Molecular Distillation Based Simulation and Optimization of Refined Palm Oil Process Based on Response Surface Methodology" Processes 5, no. 3: 40. https://doi.org/10.3390/pr5030040

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