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Updated: Jun 27, 2025

Author Spotlight: Employing Green-Chemistry Principles for Safe and Sustainable Synthesis of Biodiesels
Published on: April 19, 2024
Modeling and simulation of biodiesel synthesis in fixed bed and packed bed membrane reactors using heterogeneous
Sajad Omranpour1, Afsanehsadat Larimi2
1Department of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
This study models biodiesel synthesis using a packed bed membrane reactor (PBMR), achieving 99.94% triglyceride conversion. The PBMR is more efficient than a fixed bed reactor (FBR), requiring less length and energy.
Area of Science:
- Chemical Engineering
- Catalysis
- Renewable Energy
Background:
- Biodiesel production via transesterification is crucial for renewable energy.
- Heterogeneous catalysis offers advantages over homogeneous methods.
- Packed bed membrane reactors (PBMRs) present an alternative to traditional fixed bed reactors (FBRs).
Purpose of the Study:
- To model and simulate biodiesel synthesis using a PBMR with a solid catalyst.
- To compare the performance of a PBMR with an FBR for transesterification of triglyceride (TG).
- To investigate the effects of operational parameters on product yield and reactor efficiency.
Main Methods:
- Utilized kinetic data from open literature for canola oil transesterification with methanol over a solid tungstophosphoric acid catalyst.
- Developed a two-dimensional, heterogeneous model for the PBMR.
- Solved model equations using Matlab software to obtain velocity profiles and performance metrics.
Main Results:
- Identified optimal reaction conditions: 180°C, methanol to oil molar ratio of 15:1, and feed flow rate of 0.5 mL/min.
- Achieved 99.94% TG conversion in a PBMR of 86 cm length.
- An FBR requires 2.75 m length for the same conversion.
- PBMR demonstrated lower energy consumption (1313.24 kW) compared to FBR (1352.44 kW) for 8000 ton/y production.
Conclusions:
- PBMR is a more efficient reactor configuration for biodiesel synthesis compared to FBR.
- Optimized conditions and reactor design significantly enhance conversion and reduce energy requirements.
- Modeling and simulation provide valuable insights for industrial-scale biodiesel production optimization.
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