Process Simulation and Optimization of Ammonia-Containing Gas Separation and Ammonia Recovery with Ionic Liquids

doi:10.1021/acssuschemeng.0c07242

	Process Simulation and Optimization of Ammonia-Containing Gas Separation and Ammonia Recovery with Ionic Liquids
	Zhan, Guoxiong 1,3,4; Cao, Fei 3; Bai, Lu 1; Chang, Fei 1; Zhou, Beiya 2; Duan, Yuanmeng 1; Zeng, Shaojuan 1; Dong, Haifeng 1; Li, Zengxi 4; Zhang, Xiangping 1,4
刊名	ACS SUSTAINABLE CHEMISTRY & ENGINEERING
	2021-01-11
卷号	9 期号:1 页码:312-325
关键词	NH3-containing tail gas separation process simulation multiobjective genetic algorithm ionic liquid
ISSN号	2168-0485
DOI	10.1021/acssuschemeng.0c07242
英文摘要	Ionic liquids (ILs) have been experimenta ly proved to be effective for ammonia-containing gas separation and recovery. A systematic strategy including thermodynamic models, process simulation, multiobjective genetic algorithm, and assessment for novel IL-based separation of ammonia-containing tail gas and ammonia recovery process was proposed. The conventional IL ([C(4)Mim][NTf2]) and the functional IL ([C(4)im][NTf2]) were selected, and their NH3 removal performance was investigated. Physical properties of models of IL systems were established with temperature-dependent equations, and gas-liquid phase equilibria of the NH3-IL system were molded with the nonrandom two liquid model equation. Total purification cost (TPC), total process CO2 emission (TPCOE), and thermodynamic efficiency (eta(eff)) were selected as the objective functions to be optimized. Process simulation results indicated that under same operational parameters, using functional ILs results in lower NH3 concentration in purified gas and higher removal efficiency than that of conventional ILs. After optimization, a series of solutions satisfying the constraints was provided by the Pareto front. The lowest objective functions can achieve 0.0211 $/N m(3) (TPC), 265.67 kg CO2/h (TPCOE), and 48.05% (eta(eff)). Moreover, using functional ILs could greatly decrease purification cost and energy consumption and avoid wastewater discharge, which is an inevitable environmental problem in the water scrubbing process.
资助项目	National Natural Science Foundation of China[21890764] ; National Natural Science Foundation of China[U1610222] ; National Natural Science Foundation of China[21776277] ; National Natural Science Foundation of China[21978306] ; Major Scientific and Technological Innovation Project in Shandong Province[2019JZZY010518] ; Hebei Natural Science Foundation[B2019103011]
WOS关键词	CO2 CAPTURE ; POWER-PLANTS ; EXTRACTIVE DISTILLATION ; CARBON-DIOXIDE ; WATER ; METHANOL ; STATES ; COST
WOS研究方向	Chemistry ; Science & Technology - Other Topics ; Engineering
语种	英语
出版者	AMER CHEMICAL SOC
WOS记录号	WOS:000610827900029
资助机构	National Natural Science Foundation of China ; Major Scientific and Technological Innovation Project in Shandong Province ; Hebei Natural Science Foundation
内容类型	期刊论文
源URL	[http://ir.ipe.ac.cn/handle/122111/43362]
专题	中国科学院过程工程研究所
通讯作者	Li, Zengxi; Zhang, Xiangping
作者单位	1.Chinese Acad Sci, Key Lab Green Proc & Engn, State Key Lab Multiphase Complex Syst, Beijing Key Lab Ion Liquids Clean Proc,Inst Proc, Beijing 100190, Peoples R China 2.Bohai Univ, Coll Math & Phys, Jinzhou 121013, Liaoning, Peoples R China 3.Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China 4.Univ Chinese Acad Sci, Coll Chem & Engn, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhan, Guoxiong,Cao, Fei,Bai, Lu,et al. Process Simulation and Optimization of Ammonia-Containing Gas Separation and Ammonia Recovery with Ionic Liquids[J]. ACS SUSTAINABLE CHEMISTRY & ENGINEERING,2021,9(1):312-325.
APA	Zhan, Guoxiong.,Cao, Fei.,Bai, Lu.,Chang, Fei.,Zhou, Beiya.,...&Zhang, Xiangping.(2021).Process Simulation and Optimization of Ammonia-Containing Gas Separation and Ammonia Recovery with Ionic Liquids.ACS SUSTAINABLE CHEMISTRY & ENGINEERING,9(1),312-325.
MLA	Zhan, Guoxiong,et al."Process Simulation and Optimization of Ammonia-Containing Gas Separation and Ammonia Recovery with Ionic Liquids".ACS SUSTAINABLE CHEMISTRY & ENGINEERING 9.1(2021):312-325.