Techno-economic optimization of extractive distillation for propane-propylene separation: Evaluating conventional and ionic liquid entrainers

Propylene is a key raw material in the petrochemical industry, essential for producing polypropylene, styrene, resin, fiber, propylene glycol, and other chemicals. However, its separation from propane in propane-propylene mixtures remains a significant challenge due to their similar boiling points and physical properties. Conventional separation methods, including high-pressure and low-pressure distillation, suffer from high energy requirements and operational complexities. An extractive distillation column (EDC) presents a viable alternative by leveraging entrainers to enhance relative volatility, facilitating efficient separation. This study focuses on optimizing extractive distillation using various entrainers, including N-methyl-2-pyrrolidone (NMP), Acetonitrile (ACN), Triethylene glycol (TEG), and an Ionic liquid (IL), tetramethylammonium acetate (TMAA). A COSMO-RS screening approach was employed to identify suitable ILs. The ED process was simulated using Aspen Plus v.14, with results demonstrating that NMP achieved the highest separation efficiency, yielding 99.8% polymer-grade propylene and 95.9% propane. A techno-economic assessment revealed that NMP had the lowest total annual cost ($25.71 million), while ACN and ILs were economically unfeasible due to high material and energy costs. These findings highlight the potential of NMP-based EDC as a cost-effective solution for high-purity propylene production, paving the way for process optimizations to enhance sustainability and industrial viability.

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Publication Details

Journal
Sustainable Chemistry for the Environment
Published
2026-02-16
DOI
https://doi.org/10.1016/j.scenv.2026.100318
Primary Topic
Process Optimization and Integration
Type
article
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article

Techno-economic optimization of extractive distillation for propane-propylene separation: Evaluating conventional and ionic liquid entrainers

Huma Warsi Khan, Muhammad Imran Ahmad, Mansoor Ul Hassan Shah, Amjed Khan et al.
Sustainable Chemistry for the Environment
Process Optimization and Integration
article

Techno-economic optimization of extractive distillation for propane-propylene separation: Evaluating conventional and ionic liquid entrainers

Huma Warsi Khan, Muhammad Imran Ahmad, Mansoor Ul Hassan Shah, Amjed Khan, Muhammad Awais, Muhammad Afan
article en

Abstract

Propylene is a key raw material in the petrochemical industry, essential for producing polypropylene, styrene, resin, fiber, propylene glycol, and other chemicals. However, its separation from propane in propane-propylene mixtures remains a significant challenge due to their similar boiling points and physical properties. Conventional separation methods, including high-pressure and low-pressure distillation, suffer from high energy requirements and operational complexities. An extractive distillation column (EDC) presents a viable alternative by leveraging entrainers to enhance relative volatility, facilitating efficient separation. This study focuses on optimizing extractive distillation using various entrainers, including N-methyl-2-pyrrolidone (NMP), Acetonitrile (ACN), Triethylene glycol (TEG), and an Ionic liquid (IL), tetramethylammonium acetate (TMAA). A COSMO-RS screening approach was employed to identify suitable ILs. The ED process was simulated using Aspen Plus v.14, with results demonstrating that NMP achieved the highest separation efficiency, yielding 99.8% polymer-grade propylene and 95.9% propane. A techno-economic assessment revealed that NMP had the lowest total annual cost ($25.71 million), while ACN and ILs were economically unfeasible due to high material and energy costs. These findings highlight the potential of NMP-based EDC as a cost-effective solution for high-purity propylene production, paving the way for process optimizations to enhance sustainability and industrial viability.

Sustainable Chemistry for the EnvironmentVol. 13
Universiti Teknologi Petronas (MY), King Faisal University (SA), University of Engineering and Technology Peshawar (PK)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Process Optimization and Integration
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