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Accelerate the ePC-SAFT-DFT Calculation with the Chebyshev Pseudospectral Collocation Method
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science. State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 210009, P. R. China.ORCID iD: 0000-0002-3201-8323
State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 210009, P. R. China.
National & Local Joint Engineering Research Center for Deep Utilization Technology of Rock-salt Resource, Faculty of Chemical Engineering, Huaiyin Institute of Technology, Huaian 223003, China.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-0200-9960
2021 (English)In: Industrial & Engineering Chemistry Research, ISSN 0888-5885, E-ISSN 1520-5045, Vol. 60, no 25, p. 9269-9285Article in journal (Refereed) Published
Abstract [en]

ePC-SAFT-DFT is a powerful tool for studying the properties of confined ionic liquids for CO2 separation, in which efficient algorithms are required to obtain the calculation efficiently. In this work, the feasibility of accelerating the ePC-SAFT-DFT calculation with the Chebyshev pseudo-spectral collocation method was discussed for the confined ionic liquid (IL)–CO2 systems. In addition, a general scheme was proposed to search the electrical boundary potential. The new algorithm was further combined with the general scheme to model the confined IL–CO2 systems. It was found that the Chebyshev pseudo-spectral collocation method can improve the efficiency of the ePC-SAFT-DFT calculation significantly. Moreover, the new algorithm can be further combined with the general scheme to efficiently describe the density profile of the IL–CO2 system inside the electroneutral nanopores.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2021. Vol. 60, no 25, p. 9269-9285
National Category
Energy Engineering
Research subject
Energy Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-86479DOI: 10.1021/acs.iecr.1c01077ISI: 000670420500030Scopus ID: 2-s2.0-85110270550OAI: oai:DiVA.org:ltu-86479DiVA, id: diva2:1582033
Funder
Swedish Research Council, 2016-04023Interreg NordNorrbotten County Council, 304-16169-2019
Note

Validerad;2021;Nivå 2;2021-07-28 (beamah);

Ytterligare forskningsfinansiärer: the Joint Research Fund for Overseas Chinese Scholars and Scholars in Hong Kong and Macao Young Scholars (no. 21729601)

Available from: 2021-07-28 Created: 2021-07-28 Last updated: 2021-12-09Bibliographically approved

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Sun, YunhaoJi, Xiaoyan

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