Dynamic Modeling and Sensitivity Analysis for an MEA-Based CO_(2) Capture Absorber
作者机构:Ningbo University of Finance and EconomicsNingbo315175China Huzhou UniversityHuzhou313000China Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang ProvinceChina Jiliang UniversityHangzhou310018China Ningbotech UniversityNingbo315100China
出 版 物:《Intelligent Automation & Soft Computing》 (智能自动化与软计算(英文))
年 卷 期:2023年第36卷第6期
页 面:3535-3550页
核心收录:
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:The work was financially supported by Basic Public Welfare research Plan of Zhejiang Province(LGG19F030006) Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province,China Jiliang University(Grant No.ZNZZSZ–CJLU2022–04) the Key Research and Development Program of Ningbo(2022Z165)
主 题:CO_(2)capture dynamic modeling sensitivity analysis model validation
摘 要:The absorber is the key unit in the post-combustion monoethanolamine(MEA)-based carbon dioxide(CO_(2))capture process.A rate-based dynamic model for the absorber is developed and validated using steady-state experimental data reported in open *** analysis is performed with respect to important model parameters associated with the reaction,mass transport and phy-sical property ***,a singular value decomposition(SVD)-based subspace parameter estimation method is proposed to improve the model ***,dynamic simulations are carried out to investigate the effects of the feed rate of lean MEA solution and the flue inlet *** results indicate that the established dynamic model can reasonably reflect the physical behavior of the *** new insights are gained from the simulation results.