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.
Authors
- Huma Warsi Khan (ORCID: https://orcid.org/0000-0002-2940-2260)
- Muhammad Imran Ahmad (ORCID: https://orcid.org/0000-0003-1100-4886)
- Mansoor Ul Hassan Shah
- Amjed Khan
- Muhammad Awais
- Muhammad Afan
Institutions
- Universiti Teknologi Petronas (MY)
- King Faisal University (SA)
- University of Engineering and Technology Peshawar (PK)
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
- Field-Weighted Citation Impact
- 0.00