文献类型：期刊文献

英文题名：PC-SAFT-Type Equations of State Revisited: Quantifying the Value of Base Model Adjustments through Universal Criteria Benchmarks

作者：Li, Kaiqi[1];Ye, Zhencheng[1];Liang, Xiaodong[2]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Tech Univ Denmark, Ctr Energy Resources Engn CERE, Dept Chem & Biochem Engn, DK-2800 Lyngby, Denmark

年份：2025

卷号：64

期号：34

起止页码：16873

外文期刊名：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

收录：;EI(收录号：20253519070462);WOS:【SCI-EXPANDED(收录号:WOS:001551092700001)】；

基金：This work is supported by National Key Research and Development Program of China (2023YFB3307800), National Natural Science Foundation of China (62394343, 62273149, 62373153), the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017, Fundamental Research Funds for the Central Universities (222202517006), and the Independent Research Fund Denmark (Case number: 3105-00024B).

语种：英文

外文关键词：Benchmarking - Chains - Equations of state - Phase equilibria - Ternary systems

摘要：The statistical associating fluid theory (SAFT) equations of state have been extensively applied in diverse forms across various industrial fields. Within this investigation, based on a benchmark database encompassing binary systems with diverse association characteristics, perturbed-chain SAFT (PC-SAFT), perturbed-chain polar SAFT (PCP-SAFT), and simplified perturbed-chain SAFT (sPC-SAFT) were systematically incorporated into the same phase equilibrium evaluation framework for a fair comparison. Furthermore, some ternary systems are also considered as additional supplements to compare the performance of the models in predicting multicomponent mixtures. The comparison results show that PCP-SAFT and sPC-SAFT exhibit overall better performance than the original version, yet the latter continues to hold its absolute superiority in some mixtures with specific characteristics. Additionally, it is also demonstrated that any modification to the parent model is challenging to balance across various domains, and the resulting trade-offs appear to be an inherent limitation of SAFT variant development.