Abstract Accurate knowledge about vapor–liquid equilibrium (VLE) and phase behavior of impure carbon dioxide has noticeable effect on designing carbon dioxide capture and storage (CCS) processes. In the current work, a novel computational method namely least square support vector machine (LSSVM) was used to predict VLE of binary system of carbon dioxide with nitrogen, hydrogen, oxygen, and argon. To this end, two models based on LSSVM were developed for vapor and liquid phases. The accuracy of predicting models was investigated by different methods. The results express that the proposed algorithms are dependable for the estimation of phase behavior of impure CO2.

中文翻译：

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一种新型 LSSVM-GA 方法对二氧化碳捕获和储存的研究

摘要 关于气液平衡 (VLE) 和不纯二氧化碳的相行为的准确知识对设计二氧化碳捕获和储存 (CCS) 过程具有显着影响。在目前的工作中，一种新的计算方法，即最小二乘支持向量机 (LSSVM) 被用于预测二氧化碳与氮气、氢气、氧气和氩气二元系统的 VLE。为此，针对气相和液相开发了两种基于 LSSVM 的模型。通过不同的方法研究了预测模型的准确性。结果表明，所提出的算法对于估计不纯 CO2 的相行为是可靠的。