Investigation of carbon dioxide capture and storage by a novel LSSVM-GA method

被引：5

作者：

Sedaghat, Milad ^{[1
,2
]}

Rouhibakhsh, Karim ^{[3
]}

机构：

[1] Islamic Azad Univ, Dept Petr Engn, Marvdasht Branch, Marvdasht, Iran

[2] Islamic Azad Univ, Dept Petr Engn, Fars Sci & Res Branch, Marvdasht, Iran

[3] Shiraz Univ, Sch Chem Petr & Gas Engn, Dept Petr Engn, Shiraz, Iran

来源：

PETROLEUM SCIENCE AND TECHNOLOGY | 2020年 / 38卷 / 05期

关键词：

CCS; environment; LSSVM-GA; predicting model; VLE; HIGHER HEATING VALUE; CO2; MIXTURES; PREDICTION; IMPURITIES; EFFICIENCY; TRANSPORT; EQUATIONS; BIOMASS; SYSTEMS; BINARY;

D O I：

10.1080/10916466.2020.1769652

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页码：421 / 427

页数：7

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