Simulation of Reactive Distillation Column for Biodiesel Production

In this study, the continuous flow biodiesel production process within a reactive distillation (RD) column filled with a heterogeneous basic CaO catalyst was simulated using Aspen HYSYS software. According to literature, the transesterification reaction involving triglycerides (such as tripalmitin, tristearin, triolein, and trilinolein) follows a first-order forward reaction mechanism. For waste cooking oil (WCO), the activation energy (Ea) and frequency factor (A₀) were identified. Within the Aspen HYSYS simulation software, the General NRTL model was selected as the fluid package to accurately account for the non-ideal phase behavior of the system. The reaction zone, defined between Stages 1 to 10, modeled the base-catalyzed reaction of triglycerides with methanol to produce esters. Following the simulation, optimal process conditions were determined. The simulation aimed to maximize the sum of the conversion rate in the bottom product. As a result, the optimum operating parameters were established as follows: reboiler duty, reflux ratio, total feed rate, and methanol/WCO molar ratio. Overall, the simulation results were found to be highly consistent with existing literature, demonstrating that the model created in Aspen HYSYS effectively represents the biodiesel production process

Authors

Institutions

Publication Details

Journal
Turkish Journal of Engineering
Published
2026-04-30
DOI
https://doi.org/10.31127/tuje.1779669
Primary Topic
Biodiesel Production and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation of Reactive Distillation Column for Biodiesel Production

Murat Karahan, Suleyman Karacan
Turkish Journal of Engineering
Biodiesel Production and Applications
article

Simulation of Reactive Distillation Column for Biodiesel Production

Murat Karahan, Suleyman Karacan
article en

Abstract

In this study, the continuous flow biodiesel production process within a reactive distillation (RD) column filled with a heterogeneous basic CaO catalyst was simulated using Aspen HYSYS software. According to literature, the transesterification reaction involving triglycerides (such as tripalmitin, tristearin, triolein, and trilinolein) follows a first-order forward reaction mechanism. For waste cooking oil (WCO), the activation energy (Ea) and frequency factor (A₀) were identified. Within the Aspen HYSYS simulation software, the General NRTL model was selected as the fluid package to accurately account for the non-ideal phase behavior of the system. The reaction zone, defined between Stages 1 to 10, modeled the base-catalyzed reaction of triglycerides with methanol to produce esters. Following the simulation, optimal process conditions were determined. The simulation aimed to maximize the sum of the conversion rate in the bottom product. As a result, the optimum operating parameters were established as follows: reboiler duty, reflux ratio, total feed rate, and methanol/WCO molar ratio. Overall, the simulation results were found to be highly consistent with existing literature, demonstrating that the model created in Aspen HYSYS effectively represents the biodiesel production process

Turkish Journal of EngineeringVol. 10(2)
Kilis 7 Aralık University (TR)
Ankara Universitesi
Openalex Percentile: Top 12%
Biodiesel Production and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Simulation of Reactive Distillation Column for Biodiesel Production — Murat Karahan, Suleyman Karacan · Turkish Journal of Engineering (2026) | TGRS Research Map | TGRS