采用醇胺法的沼气脱碳工艺流程模拟及优化  

Process simulation and parameter optimization of alkanolamine route for removing CO from biogas

作　　者：曾金繁 巨永林[1] ZENG Jin-fan;JU Yong-lin(Institute of Refrigeration and Cryogenics Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]上海交通大学制冷与低温工程研究所,上海200240

出　　处：《现代化工》2021年第8期224-229,共6页Modern Chemical Industry

摘　　要：采用醇胺法脱除沼气中的CO_(2),使之达到可液化制取LNG的标准。通过Aspen Hysys模拟该工艺流程,利用Matlab进行遗传算法和序贯法优化。优化后的结果表明,原料气中含30%、40%、50%CO_(2)时,生产单位CH4的电耗分别为0.163、0.191、0.235 k Wh/m^(3),降低了0.85%、1.59%、0.91%;再生热耗分别为2.29、3.02、4.34 GJ/m^(3),降低了5.68%、7.69%、8.49%。将优化结果与现有工厂、实验、模拟数据对比,可为高碳含量天然气脱除CO_(2)提供参考。Biogas is a typical biomass energy source that can be purified into compressed natural gas( CNG) or liquefied natural gas( LNG). CO_(2) removal technology is the key to purify biogas. The technology using aqueous amine solvent is a popular and feasible one at present,but it consumes high energy. Aspen Hysys is utilized to simulate this technology to achieve the CO_(2) removal targets and make the biomass meet the critical requirement for LNG production. To reduce energy consumption,genetic algorithm method and sequential method are developed by Matlab to optimize the ratio of amine solution and main operating parameters. As the mole fraction of CO_(2) in feed gas is 30%,40% and 50%,respectively,the optimized power consumption is 0. 163,0. 191 and 0. 235 k Wh·m^(-3),which decrease by 0. 85%,1. 59%and 0. 91% respectively than before optimization;the optimized regeneration heat consumption is 2. 29,3. 02,and 4. 34 GJ·m^(-3),which decrease by 5. 68%,7. 69% and 8. 49%,respectively. The optimization results are compared with the existing data of factory,experiment and simulation. It provides a reference for the parameter optimization and energy consumption of CO_(2) removal from natural gas with a high concentration of CO_(2).

关 键 词：沼气 甲烷 脱碳 醇胺 遗传算法优化 序贯寻优法 能耗 

分 类 号：TK-9[动力工程及工程热物理]