Comparative studies of CO2 capture solvents for gas-fired power plants: Integrated modelling and pilot plant assessments

被引:9
|
作者
Sharifzadeh, Mahdi [1 ]
Shah, Nilay [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Chem Engn, CPSE, London SW7 2AZ, England
关键词
Solvent-based carbon capture; SAFT; Rate-based modelling; Model validation; Optimization; MEA; APBS; GCCmax; CARBON-DIOXIDE CAPTURE; POSTCOMBUSTION CAPTURE; REACTIVE ABSORPTION; PROCESS DESIGN; SAFT; MONOETHANOLAMINE; OPTIMIZATION; MEA; PERFORMANCE; EQUATION;
D O I
10.1016/j.ijggc.2015.10.009
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Natural gas accounts for 21.3% of the total primary energy supply. In particular, with the shale gas boom, its application has experienced an exponential growth rate. Nevertheless, natural gas has the highest hydrogen to carbon ratio among all hydrocarbons and the dilute (with respect to CO2) exhausts of its combustion pose considerable thermodynamic challenges for carbon capture. Solvent-based carbon capture can potentially mitigate the carbon emissions. Nonetheless, minimizing the penalties associated with the costs of carbon capture requires detailed understanding of the underlying physical and chemical phenomena. The present research exploits a rigorous methodology based on rate-based distributed modelling and statistical associating fluid theory (SAFT). The important characteristics of this modelling approach include abstract formulation in conjunction with high predictability. The present research aims at establishing the performance of a new solvent (an amine-promoted buffer salt, APBS) in comparison to the baseline solvent, i.e., monoethanolamine (MEA). The features of interest include: (i) developing a high fidelity mathematical model of the carbon capture process, (ii) validating the model with pilot plant data, (iii) quantification of the energetic and technical performances of the solvents using key process indicators (KPIs), and (iv) employing optimization programming for further solvent performance improvement. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:124 / 132
页数:9
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