High-Throughput Screening to Investigate the Relationship between the Selectivity and Working Capacity of Porous Materials for Propylene/Propane Adsorptive Separation

Byung Chul Yeo, Donghun Kim, Hyungjun Kim, Sang Soo Han

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

An efficient propylene/propane separation is a very critical process for saving the cost of energy in the petrochemical industry. For separation based on the pressure-swing adsorption process, we have screened ∼1 million crystal structures in the Cambridge Structural Database and Inorganic Crystal Structural Database with descriptors such as the surface area of N2, accessible surface area of propane, and pore-limiting diameter. Next, grand canonical Monte Carlo simulations have been performed to investigate the selectivities and working capacities of propylene/propane under experimental process conditions. Our simulations reveal that the selectivity and the working capacity have a trade-off relationship. To increase the working capacity of propylene, porous materials with high largest cavity diameters (LCDs) and low propylene binding energies (Qst) should be considered; conversely, for a high selectivity, porous materials with low LCDs and high propylene Qst should be considered, which leads to a trade-off between the selectivity and the working capacity. In addition, for the design of novel porous materials with a high selectivity, we propose a porous material that includes elements with a high crossover distance in their Lennard-Jones potentials for propylene/propane such as In, Te, Al, and I, along with the low LCD stipulation.

Original languageEnglish
Pages (from-to)24224-24230
Number of pages7
JournalJournal of Physical Chemistry C
Volume120
Issue number42
DOIs
Publication statusPublished - 2016 Oct 27

Fingerprint

Propane
porous materials
propylene
propane
Propylene
Porous materials
Screening
screening
selectivity
Throughput
cavities
Lennard-Jones potential
Binding energy
Petrochemicals
crossovers
simulation
Crystal structure
binding energy
industries
costs

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Energy(all)
  • Physical and Theoretical Chemistry
  • Surfaces, Coatings and Films

Cite this

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title = "High-Throughput Screening to Investigate the Relationship between the Selectivity and Working Capacity of Porous Materials for Propylene/Propane Adsorptive Separation",
abstract = "An efficient propylene/propane separation is a very critical process for saving the cost of energy in the petrochemical industry. For separation based on the pressure-swing adsorption process, we have screened ∼1 million crystal structures in the Cambridge Structural Database and Inorganic Crystal Structural Database with descriptors such as the surface area of N2, accessible surface area of propane, and pore-limiting diameter. Next, grand canonical Monte Carlo simulations have been performed to investigate the selectivities and working capacities of propylene/propane under experimental process conditions. Our simulations reveal that the selectivity and the working capacity have a trade-off relationship. To increase the working capacity of propylene, porous materials with high largest cavity diameters (LCDs) and low propylene binding energies (Qst) should be considered; conversely, for a high selectivity, porous materials with low LCDs and high propylene Qst should be considered, which leads to a trade-off between the selectivity and the working capacity. In addition, for the design of novel porous materials with a high selectivity, we propose a porous material that includes elements with a high crossover distance in their Lennard-Jones potentials for propylene/propane such as In, Te, Al, and I, along with the low LCD stipulation.",
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High-Throughput Screening to Investigate the Relationship between the Selectivity and Working Capacity of Porous Materials for Propylene/Propane Adsorptive Separation. / Yeo, Byung Chul; Kim, Donghun; Kim, Hyungjun; Han, Sang Soo.

In: Journal of Physical Chemistry C, Vol. 120, No. 42, 27.10.2016, p. 24224-24230.

Research output: Contribution to journalArticle

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