首页|基于余能利用的CO2捕集提纯液化系统设计与优化

基于余能利用的CO2捕集提纯液化系统设计与优化

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为了捕集利用天然气中的CO2以及降低此过程中的系统能耗,将醇胺法天然气脱碳工艺和CO2提纯液化工艺进行结合,提出基于余能利用的CO2捕集提纯液化系统,并将制冷单元压缩机燃气轮机的烟气热量用于吸收剂再生过程.利用HYSYS软件对系统进行模拟研究,并对醇胺法脱碳过程和CO2提纯液化过程的主要影响参数进行分析.结果表明:系统对CO2液化率为86.36%,回收率为99.5%,得到摩尔分数为99.86%的液态CO2产品.醇胺法脱碳模块装置综合能耗为11.1414 MW,余能利用266.2 kW,CO2提纯液化模块装置综合能耗为3.7524 MW.使用响应面法和遗传算法对系统能耗进行优化,优化后醇胺法脱碳模块装置综合能耗为11.0293 MW,CO2 提纯液化模块装置综合能耗为2.84103 MW.系统可以有效提高CO2回收率和摩尔分数,实现能量最大化利用.
Design and optimization of CO2 capture and purification liquefaction system based on residual energy utilization
In order to capture and utilize the CO2 in natural gas and reduce the energy consumption in the process,the natural gas decarbonization process by alcoholamine method and the CO2 purification and liquefaction process were combined,a CO2 capture and purification liquefaction system based on residual energy utilization was proposed,and the flue gas heat of the gas turbine of the refrigeration unit compressor was used in the absorbent regeneration process.The system was simulated by HYSYS software,and the main influence parameters of the decarbonization process by alcoholamine method and the liquefaction process by CO2 purification were analyzed.The results show that the liquefaction rate of CO2 is 86.36%,the recovery rate is 99.5%,and the molar fraction of liquid CO2 is 99.86%.The comprehensive energy consumption of the module unit for decarbonization by alcoholamine process is 11.1414 MW,and the residual energy utilization is 266.2 kW,the comprehensive energy consumption of the module unit for purification of CO2 is 3.7524 MW.The energy consumption of the system is optimized by response surface methodology and genetic algorithm.After optimization the energy consumption of the CO2 removal module is 11.0293 MW,and the CO2 purification and liquefaction module is 2.84103 MW.The system can effectively improve the recovery rate and molar fraction of CO2,and realizing the maximum utilization of energy.

CO2 capturealcoholamine methodenergy consumptionsurplus energy utilizationparameter optimization

肖荣鸽、李雨泽、刘亚龙、庞琳楠、刘国庆、王靖毓

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西安石油大学 石油工程学院 陕西省油气田特种增产技术重点实验室,陕西 西安 710065

中国石油西南油气田分公司 川西北气矿,四川 江油 621709

CO2捕集 醇胺法 能耗 余能利用 参数优化

2024

化学工程
华陆工程科技有限责任公司

化学工程

CSTPCD北大核心
影响因子:0.438
ISSN:1005-9954
年,卷(期):2024.52(8)
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