loading page

Iterative Lumping Approach for representing Lipid Feedstocks in Fatty Acid Distillation Simulation and Optimization
  • +5
  • Pieter Nachtergaele,
  • Tobias De Somer,
  • Bastiaan Gelaude,
  • Joël Hogie,
  • Joris Thybaut,
  • Steven De Meester,
  • David Drijvers,
  • Jo Dewulf
Pieter Nachtergaele
Ghent University
Author Profile
Tobias De Somer
Ghent University
Author Profile
Bastiaan Gelaude
Ghent University
Author Profile
Joël Hogie
Ghent University
Author Profile
Joris Thybaut
Ghent University
Author Profile
Steven De Meester
Ghent University
Author Profile
David Drijvers
Oleon NV
Author Profile
Jo Dewulf
Ghent University
Author Profile

Abstract

The complexity of lipid feedstocks and the lack of data on physical properties hinder the simulation of oleochemical processing units. In this work, an iterative lumping approach is proposed to define an adequate number of key components such that diversification between lipid feedstocks becomes possible, while keeping the determination of physical properties as required for process modelling manageable. As a case study, the iterative lumping approach is used for simulation and optimization of a fatty acid distillation plant. For predicting vapour-liquid equilibria of fatty acids, the best results were acquired using the property method UNIQ-HOC. Using the iterative lumping approach, 11 key components were selected to represent the feedstock. The process model properly predicts the product composition, yield, purity and heat duty. The most important process parameters are found to be side-reflux-ratio, reboiler-outlet-temperature and heat-duty of the pitch-distiller. For optimization, an increase of the side-reflux-ratio and reboiler-outlet-temperature, is recommended.

Peer review status:UNDER REVIEW

04 Aug 2020Submitted to AIChE Journal
08 Sep 2020Assigned to Editor
08 Sep 2020Submission Checks Completed
15 Sep 2020Reviewer(s) Assigned