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Yu G, Dai C, Liu N, Xu R, Wang N, Chen B. Hydrocarbon Extraction with Ionic Liquids. Chem Rev 2024; 124:3331-3391. [PMID: 38447150 DOI: 10.1021/acs.chemrev.3c00639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
Separation and reaction processes are key components employed in the modern chemical industry, and the former accounts for the majority of the energy consumption therein. In particular, hydrocarbon separation and purification processes, such as aromatics extraction, desulfurization, and denitrification, are challenging in petroleum refinement, an industrial cornerstone that provides raw materials for products used in human activities. The major technical shortcomings in solvent extraction are volatile solvent loss, product entrainment leading to secondary pollution, low separation efficiency, and high regeneration energy consumption due to the use of traditional organic solvents with high boiling points as extraction agents. Ionic liquids (ILs), a class of designable functional solvents or materials, have been widely used in chemical separation processes to replace conventional organic solvents after nearly 30 years of rapid development. Herein, we provide a systematic and comprehensive review of the state-of-the-art progress in ILs in the field of extractive hydrocarbon separation (i.e., aromatics extraction, desulfurization, and denitrification) including (i) molecular thermodynamic models of IL systems that enable rapid large-scale screening of IL candidates and phase equilibrium prediction of extraction processes; (ii) structure-property relationships between anionic and cationic structures of ILs and their separation performance (i.e., selectivity and distribution coefficients); (iii) IL-related extractive separation mechanisms (e.g., the magnitude, strength, and sites of intermolecular interactions depending on the separation system and IL structure); and (iv) process simulation and design of IL-related extraction at the industrial scale based on validated thermodynamic models. In short, this Review provides an easy-to-read exhaustive reference on IL-related extractive separation of hydrocarbon mixtures from the multiscale perspective of molecules, thermodynamics, and processes. It also extends to progress in IL analogs, deep eutectic solvents (DESs) in this research area, and discusses the current challenges faced by ILs in related separation fields as well as future directions and opportunities.
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Affiliation(s)
- Gangqiang Yu
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
| | - Chengna Dai
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
| | - Ning Liu
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
| | - Ruinian Xu
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
| | - Ning Wang
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
| | - Biaohua Chen
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
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2
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Palomar J, Lemus J, Navarro P, Moya C, Santiago R, Hospital-Benito D, Hernández E. Process Simulation and Optimization on Ionic Liquids. Chem Rev 2024; 124:1649-1737. [PMID: 38320111 PMCID: PMC10906004 DOI: 10.1021/acs.chemrev.3c00512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 11/16/2023] [Accepted: 01/10/2024] [Indexed: 02/08/2024]
Abstract
Ionic liquids (ILs) are promising alternative compounds that enable the development of technologies based on their unique properties as solvents or catalysts. These technologies require integrated product and process designs to select ILs with optimal process performances at an industrial scale to promote cost-effective and sustainable technologies. The digital era and multiscale research methodologies have changed the paradigm from experiment-oriented to hybrid experimental-computational developments guided by process engineering. This Review summarizes the relevant contributions (>300 research papers) of process simulations to advance IL-based technology developments by guiding experimental research efforts and enhancing industrial transferability. Robust simulation methodologies, mostly based on predictive COSMO-SAC/RS and UNIFAC models in Aspen Plus software, were applied to analyze key IL applications: physical and chemical CO2 capture, CO2 conversion, gas separation, liquid-liquid extraction, extractive distillation, refrigeration cycles, and biorefinery. The contributions concern the IL selection criteria, operational unit design, equipment sizing, technoeconomic and environmental analyses, and process optimization to promote the competitiveness of the proposed IL-based technologies. Process simulation revealed that multiscale research strategies enable advancement in the technological development of IL applications by focusing research efforts to overcome the limitations and exploit the excellent properties of ILs.
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Affiliation(s)
- Jose Palomar
- Chemical
Engineering Department, Autonomous University
of Madrid, Calle Tomás y Valiente 7, 28049 Madrid, Spain
| | - Jesús Lemus
- Chemical
Engineering Department, Autonomous University
of Madrid, Calle Tomás y Valiente 7, 28049 Madrid, Spain
| | - Pablo Navarro
- Chemical
Engineering Department, Autonomous University
of Madrid, Calle Tomás y Valiente 7, 28049 Madrid, Spain
| | - Cristian Moya
- Departamento
de Tecnología Química, Energética y Mecánica, Universidad Rey Juan Carlos, 28933 Madrid, Spain
| | - Rubén Santiago
- Departamento
de Ingeniería Eléctrica, Electrónica, Control,
Telemática y Química aplicada a la Ingeniería,
ETS de Ingenieros Industriales, Universidad
Nacional de Educación a Distancia (UNED), 28040 Madrid, Spain
| | - Daniel Hospital-Benito
- Chemical
Engineering Department, Autonomous University
of Madrid, Calle Tomás y Valiente 7, 28049 Madrid, Spain
| | - Elisa Hernández
- Chemical
Engineering Department, Autonomous University
of Madrid, Calle Tomás y Valiente 7, 28049 Madrid, Spain
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3
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Song Z, Chen J, Cheng J, Chen G, Qi Z. Computer-Aided Molecular Design of Ionic Liquids as Advanced Process Media: A Review from Fundamentals to Applications. Chem Rev 2024; 124:248-317. [PMID: 38108629 DOI: 10.1021/acs.chemrev.3c00223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
The unique physicochemical properties, flexible structural tunability, and giant chemical space of ionic liquids (ILs) provide them a great opportunity to match different target properties to work as advanced process media. The crux of the matter is how to efficiently and reliably tailor suitable ILs toward a specific application. In this regard, the computer-aided molecular design (CAMD) approach has been widely adapted to cover this family of high-profile chemicals, that is, to perform computer-aided IL design (CAILD). This review discusses the past developments that have contributed to the state-of-the-art of CAILD and provides a perspective about how future works could pursue the acceleration of the practical application of ILs. In a broad context of CAILD, key aspects related to the forward structure-property modeling and reverse molecular design of ILs are overviewed. For the former forward task, diverse IL molecular representations, modeling algorithms, as well as representative models on physical properties, thermodynamic properties, among others of ILs are introduced. For the latter reverse task, representative works formulating different molecular design scenarios are summarized. Beyond the substantial progress made, some future perspectives to move CAILD a step forward are finally provided.
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Affiliation(s)
- Zhen Song
- State Key laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Jiahui Chen
- State Key laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Jie Cheng
- State Key laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Guzhong Chen
- State Key laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Zhiwen Qi
- State Key laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
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Cheng H, Zhang Z, Zhang L, Liu F, Deng J, Hua M, Cheng Y, Li H, Liu J, Zhu W. Crystal-Plane-Engineered TiO 2-Anchored Vanadium Single Atoms and Clusters for Boosting Ultradeep Aerobic Oxidative Desulfurization of Diesel. Inorg Chem 2024; 63:1488-1498. [PMID: 38175157 DOI: 10.1021/acs.inorgchem.3c04233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
The crystal plane effect has gained extensive attention in heterogeneous catalysis reactions; however, it is far from being systematically probed in titanium dioxide (TiO2)-supported vanadium catalysts. Herein, a series of vanadium (V) single atoms and clusters anchored on TiO2 with different crystal planes was fabricated by an improved "top-down" protocol. The dispersion state, electronic structure, and redox properties of the V single-atom and VOx cluster-supported catalysts were systematically analyzed by a series of characterization methods, including X-ray absorption near edge structure (XANES) and density functional theory (DFT) calculations, and their catalytic performances were examined for aerobic oxidative desulfurization (AODS) of 4,6-dimethyl-dibenzothiophen (4,6-DMDBT) with O2 as the oxidant. The results unveiled that the synergistic effect between the V single atom and the VOx cluster perceptibly promoted the catalytic performances of VOx/TiO2 samples. Therein, VOx/TiO2-(001) shows the lowest apparent activation energy (Ea) value of 46.3 kJ/mol and the optimal AODS performance with complete 4,6-DMDBT conversion to 4,6-dimethyldibenzothiophene sulfone (4,6-DMDBTO2) within 60 min at 120 °C as compared with VOx/TiO2-(101) (81.9 kJ/mol and 180 min) and VOx/TiO2-(100) (68.0 kJ/mol and 240 min), which should be attributed to its higher V5+/V4+ ratio, the optimal redox behavior of the V species, the moderate adsorption energy between 4,6-DMDBT and VOx active centers, and the synthetic effect of V single atoms and VOx clusters. Moreover, VOx/TiO2-(001) exhibits robust durability in seven cycles of reuse, showcasing the potential for practical applications in the future.
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Affiliation(s)
- Huifang Cheng
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
| | - Ziteng Zhang
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
| | - Lu Zhang
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
| | - Feng Liu
- SINOPEC Research Institute of Petroleum Processing Co., Ltd, Beijing 100083, P. R. China
| | - Jianlin Deng
- School of Chemical Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying 257061, P. R. China
| | - Mingqing Hua
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
| | - Ying Cheng
- Department of Environmental Engineering, Hebei University of Environmental Engineering, Qinhuangdao 066102, P. R. China
| | - Huaming Li
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
| | - Jixing Liu
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
| | - Wenshuai Zhu
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
- College of Chemical Engineering and Environment, State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, P. R. China
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5
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Zhou T, Gui C, Sun L, Hu Y, Lyu H, Wang Z, Song Z, Yu G. Energy Applications of Ionic Liquids: Recent Developments and Future Prospects. Chem Rev 2023; 123:12170-12253. [PMID: 37879045 DOI: 10.1021/acs.chemrev.3c00391] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2023]
Abstract
Ionic liquids (ILs) consisting entirely of ions exhibit many fascinating and tunable properties, making them promising functional materials for a large number of energy-related applications. For example, ILs have been employed as electrolytes for electrochemical energy storage and conversion, as heat transfer fluids and phase-change materials for thermal energy transfer and storage, as solvents and/or catalysts for CO2 capture, CO2 conversion, biomass treatment and biofuel extraction, and as high-energy propellants for aerospace applications. This paper provides an extensive overview on the various energy applications of ILs and offers some thinking and viewpoints on the current challenges and emerging opportunities in each area. The basic fundamentals (structures and properties) of ILs are first introduced. Then, motivations and successful applications of ILs in the energy field are concisely outlined. Later, a detailed review of recent representative works in each area is provided. For each application, the role of ILs and their associated benefits are elaborated. Research trends and insights into the selection of ILs to achieve improved performance are analyzed as well. Challenges and future opportunities are pointed out before the paper is concluded.
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Affiliation(s)
- Teng Zhou
- Sustainable Energy and Environment Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou 511400, China
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
- HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen 518048, China
| | - Chengmin Gui
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Longgang Sun
- Sustainable Energy and Environment Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou 511400, China
| | - Yongxin Hu
- Sustainable Energy and Environment Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou 511400, China
| | - Hao Lyu
- Sustainable Energy and Environment Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou 511400, China
| | - Zihao Wang
- Department for Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, D-39106 Magdeburg, Germany
| | - Zhen Song
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Gangqiang Yu
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
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6
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Ding WL, Chen J, Lu Y, Liu G, Cao B, Wang C, Liu G, Peng XL, He H, Zhang S. Electron Density Learning of Z-Bonds in Ionic Liquids and Its Application. J Phys Chem Lett 2023; 14:9103-9111. [PMID: 37792476 DOI: 10.1021/acs.jpclett.3c02307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
Ionic liquids (ILs) exhibit fascinating properties due to special Z-bonds and have been widely used in electrochemical systems. The local Z-bond networks potentially cause a discrepancy in electrochemical properties. Understanding the correlations between the Z-bond energy (EZ-bond) and the electrochemical properties is helpful to identify appropriate ILs. It is difficult to estimate the correlations from single density functional theory calculations or molecular dynamic simulations. In this work, a machine learning model targeting the electronic density (ρBCP) of Z-bonds has been trained successfully, as expected for use in systems above the nanoscale size. The connection between the EZ-bond and the electrochemical potential window in ILs@TiO2, as well as that between the EZ-bond and the charge carrier mobility in ILs-PEDOT:Tos@SiO2, was separately investigated. This study highlights an efficient model for predicting ρBCP in nanoscale systems and anticipates exploring the connection between Z-bonds and the electrochemical properties of IL-based systems.
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Affiliation(s)
- Wei-Lu Ding
- Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Junwu Chen
- Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Yumiao Lu
- Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Guliang Liu
- Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Bobo Cao
- Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Chenlu Wang
- Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Guangyong Liu
- Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | | | - Hongyan He
- Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China
| | - Suojiang Zhang
- Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China
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7
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Abstract
Condensable gases are the sum of condensable and volatile steam or organic compounds, including water vapor, which are discharged into the atmosphere in gaseous form at atmospheric pressure and room temperature. Condensable toxic and harmful gases emitted from petrochemical, chemical, packaging and printing, industrial coatings, and mineral mining activities seriously pollute the atmospheric environment and endanger human health. Meanwhile, these gases are necessary chemical raw materials; therefore, developing green and efficient capture technology is significant for efficiently utilizing condensed gas resources. To overcome the problems of pollution and corrosion existing in traditional organic solvent and alkali absorption methods, ionic liquids (ILs), known as "liquid molecular sieves", have received unprecedented attention thanks to their excellent separation and regeneration performance and have gradually become green solvents used by scholars to replace traditional absorbents. This work reviews the research progress of ILs in separating condensate gas. As the basis of chemical engineering, this review first provides a detailed discussion of the origin of predictive molecular thermodynamics and its broad application in theory and industry. Afterward, this review focuses on the latest research results of ILs in the capture of several important typical condensable gases, including water vapor, aromatic VOCs (i.e., BTEX), chlorinated VOC, fluorinated refrigerant gas, low-carbon alcohols, ketones, ethers, ester vapors, etc. Using pure IL, mixed ILs, and IL + organic solvent mixtures as absorbents also briefly expanded the related reports of porous materials loaded with an IL as adsorbents. Finally, future development and research directions in this exciting field are remarked.
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Affiliation(s)
- Guoxuan Li
- State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Energy Environmental Catalysis, Beijing University of Chemical Technology, Box 266, Beijing 100029, China
| | - Kai Chen
- School of Chemistry and Chemical Engineering/State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, Shihezi University, Shihezi 832003, China
| | - Zhigang Lei
- State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Energy Environmental Catalysis, Beijing University of Chemical Technology, Box 266, Beijing 100029, China
- School of Chemistry and Chemical Engineering/State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, Shihezi University, Shihezi 832003, China
| | - Zhong Wei
- School of Chemistry and Chemical Engineering/State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, Shihezi University, Shihezi 832003, China
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8
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Wang X, Zhao Y, Han L, Li L, Kiss AA. The quest for a better solvent for the direct hydration of cyclohexene: From molecular screening to process design. Chem Eng Sci 2023. [DOI: 10.1016/j.ces.2023.118678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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9
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Kaneko K, Yoshimura Y, Shimizu A. Experimental and computational studies on the ion dissociation states of 1-butyl-3-methyimidazolium tetrafluoroborate in water and alcohols. J Mol Liq 2023. [DOI: 10.1016/j.molliq.2023.121370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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10
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Iftakher A, Monjur MS, Hasan MMF. An Overview of Computer‐aided Molecular and Process Design. CHEM-ING-TECH 2023. [DOI: 10.1002/cite.202200172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Affiliation(s)
- Ashfaq Iftakher
- Texas A&M University Artie McFerrin Department of Chemical Engineering 100 Spence St. TX 77843-3122 College Station USA
| | - Mohammed Sadaf Monjur
- Texas A&M University Artie McFerrin Department of Chemical Engineering 100 Spence St. TX 77843-3122 College Station USA
| | - M. M. Faruque Hasan
- Texas A&M University Artie McFerrin Department of Chemical Engineering 100 Spence St. TX 77843-3122 College Station USA
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11
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Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids. Comput Chem Eng 2023. [DOI: 10.1016/j.compchemeng.2023.108153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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12
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Engineering the electronic and geometric structure of VOx/BN@TiO2 heterostructure for efficient aerobic oxidative desulfurization. Front Chem Sci Eng 2022. [DOI: 10.1007/s11705-022-2242-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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13
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Lei Y, Yu Z, Wei Z, Liu X, Yu H, Liang X, Kontogeorgis GM, Chen Y. Structure optimization of task-specific ionic liquids targeting low-carbon-emission ethylbenzene production. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2022.122827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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14
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Moheb-Aleaba Z, Khosravi-Nikou MR. Extractive Desulfurization of liquid hydrocarbon fuel: Task-Specific ionic liquid development and experimental study. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.11.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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15
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Liu Q, Zhang X. Multiscale Screening of Deep Eutectic Solvents for Efficient Extraction of m-Cresol from Model Coal Tar. ACS OMEGA 2022; 7:34485-34494. [PMID: 36188258 PMCID: PMC9520693 DOI: 10.1021/acsomega.2c04234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 09/01/2022] [Indexed: 06/16/2023]
Abstract
Screening of suitable deep eutectic solvents (DESs) as extractants is vitally important in an extraction process. In this study, a multiscale method combining conductor-like screening model for real solvents (COSMO-RS) calculation, experimental validation, and process simulation is presented. This method was applied to screen DESs for extracting m-cresol from cumene. First, the COSMO-RS model was performed to calculate the phase equilibrium of different ternary systems at different feed compositions, thereby prescreening DESs by investigating the effects of DES structures on the extraction performance. Then, the prescreened DESs were studied by extraction experiments to further validate their extraction performance. The extraction mechanism was investigated through FT-IR characterization. Afterward, continuous process simulation by Aspen Plus was employed to identify more promising DESs. The COSMO-RS calculation and experimental results showed that both choline chloride (ChCl)/ethylene glycol (EG) (1:2) and ChCl/glycerol (Gly) (1:2) demonstrated a high extraction performance, which were selected as two suitable DESs. Considering the mass purity and recovery ratio of m-cresol and cumene products in industrial applications, as well as the extractant dosage and equipment costs, ChCl/Gly (1:2) is considered a more promising DES in industrial application.
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16
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Mendis NP, Wang J, Lakerveld R. Simultaneous Solvent Selection and Process Design for Continuous Reaction–Extraction–Crystallization Systems. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.1c05012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Nethrue Pramuditha Mendis
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
| | - Jiayuan Wang
- School of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
| | - Richard Lakerveld
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
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17
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Challenges and Opportunities in Carbon Capture, Utilization and Storage: A Process Systems Engineering Perspective. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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18
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Wu P, Liu P, Chen L, Ma W, Zhu L, Liu M, He J, Lu L, Chao Y, Zhu W. Synergistic Effect of Au–Cu Alloy Nanoparticles on TiO 2 for Efficient Aerobic Catalytic Oxidative Desulfurization. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00437] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Peiwen Wu
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Penghui Liu
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Linlin Chen
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Wenhui Ma
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Linhua Zhu
- College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China
| | - Mingyang Liu
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Jing He
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Linjie Lu
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Yanhong Chao
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Wenshuai Zhu
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China
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19
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Ma ZD, Li YX, Jin MM, Liu XQ, Sun LB. Fabrication of adsorbents with enhanced CuI stability: Creating a superhydrophobic microenvironment through grafting octadecylamine. Chin J Chem Eng 2022. [DOI: 10.1016/j.cjche.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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20
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Ayazi A, Babakhani D, Soleymani M. Simulation of a Depropanizer Distillation Column and Validation of Results by Industrial Data. Chem Eng Technol 2022. [DOI: 10.1002/ceat.202100582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Arvin Ayazi
- Arak University Department of Chemical Engineering, Faculty of Engineering 3848177584 Arak Iran
| | - Davoud Babakhani
- Research and Design Department of Iran Aluminum Company 3818998116 Arak Iran
| | - Meysam Soleymani
- Arak University Department of Chemical Engineering, Faculty of Engineering 3848177584 Arak Iran
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21
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22
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Wang K, Xu W, Wang Q, Zhao C, Huang Z, Yang C, Ye C, Qiu T. Rational Design and Screening of Ionic Liquid Absorbents for Simultaneous and Stepwise Separations of SO2 and CO2 from Flue Gas. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.1c04240] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Kai Wang
- Engineering Research Center of Reactive Distillation, Fujian Province Higher Education Institutes, College of Chemical Engineering, Fuzhou University, Fuzhou 350116 Fujian, China
- Qingyuan Innovation Laboratory, Quanzhou 362801, China
| | - Weijie Xu
- Engineering Research Center of Reactive Distillation, Fujian Province Higher Education Institutes, College of Chemical Engineering, Fuzhou University, Fuzhou 350116 Fujian, China
- Qingyuan Innovation Laboratory, Quanzhou 362801, China
| | - Qinglian Wang
- Engineering Research Center of Reactive Distillation, Fujian Province Higher Education Institutes, College of Chemical Engineering, Fuzhou University, Fuzhou 350116 Fujian, China
- Qingyuan Innovation Laboratory, Quanzhou 362801, China
| | - Chuncheng Zhao
- Engineering Research Center of Reactive Distillation, Fujian Province Higher Education Institutes, College of Chemical Engineering, Fuzhou University, Fuzhou 350116 Fujian, China
| | - Zhixian Huang
- Engineering Research Center of Reactive Distillation, Fujian Province Higher Education Institutes, College of Chemical Engineering, Fuzhou University, Fuzhou 350116 Fujian, China
- Qingyuan Innovation Laboratory, Quanzhou 362801, China
| | - Chen Yang
- Engineering Research Center of Reactive Distillation, Fujian Province Higher Education Institutes, College of Chemical Engineering, Fuzhou University, Fuzhou 350116 Fujian, China
- Qingyuan Innovation Laboratory, Quanzhou 362801, China
| | - Changshen Ye
- Engineering Research Center of Reactive Distillation, Fujian Province Higher Education Institutes, College of Chemical Engineering, Fuzhou University, Fuzhou 350116 Fujian, China
- Qingyuan Innovation Laboratory, Quanzhou 362801, China
| | - Ting Qiu
- Engineering Research Center of Reactive Distillation, Fujian Province Higher Education Institutes, College of Chemical Engineering, Fuzhou University, Fuzhou 350116 Fujian, China
- Qingyuan Innovation Laboratory, Quanzhou 362801, China
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23
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Insights into ensemble learning-based data-driven model for safety-related property of chemical substances. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.117219] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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24
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25
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Ma Y, Li J. Homotopy Continuation Enhanced Branch and Bound Algorithms for Strongly Nonconvex
Mixed‐Integer
Nonlinear Optimisation. AIChE J 2022. [DOI: 10.1002/aic.17629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Yingjie Ma
- Centre for Process Integration, Department of Chemical Engineering, School of Engineering The University of Manchester Manchester United Kingdom
| | - Jie Li
- Centre for Process Integration, Department of Chemical Engineering, School of Engineering The University of Manchester Manchester United Kingdom
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26
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High-Throughput Computational Screening of Ionic Liquids for Butadiene and Butene Separation. Processes (Basel) 2022. [DOI: 10.3390/pr10010165] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/10/2022] Open
Abstract
The separation of 1,3-butadiene (1,3-C4H6) and 1-butene (n-C4H8) is quite challenging due to their close boiling points and similar molecular structures. Extractive distillation (ED) is widely regarded as a promising approach for such a separation task. For ED processes, the selection of suitable entrainer is of central importance. Traditional ED processes using organic solvents suffer from high energy consumption. To tackle this issue, the utilization of ionic liquids (ILs) can serve as a potential alternative. In this work, a high-throughput computational screening of ILs is performed to find proper entrainers, where 36,260 IL candidates comprising of 370 cations and 98 anions are involved. COSMO-RS is employed to calculate the infinite dilution extractive capacity and selectivity of the 36,260 ILs. In doing so, the ILs that satisfy the prespecified thermodynamic criteria and physical property constraints are identified. After the screening, the resulting IL candidates are sent for rigorous process simulation and design. 1,2,3,4,5-pentamethylimidazolium methylcarbonate is found to be the optimal IL solvent. Compared with the benchmark ED process where the organic solvent N-methyl-2-pyrrolidone is adopted, the energy consumption is reduced by 26%. As a result, this work offers a new IL-based ED process for efficient 1,3-C4H6 production.
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27
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Yu G, Wei Z, Chen K, Guo R, Lei Z. Predictive molecular thermodynamic models for ionic liquids. AIChE J 2022. [DOI: 10.1002/aic.17575] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Gangqiang Yu
- Faculty of Environment and Life Beijing University of Technology Beijing China
| | - Zhong Wei
- School of Chemistry and Chemical Engineering Shihezi University Shihezi China
| | - Kai Chen
- School of Chemistry and Chemical Engineering Shihezi University Shihezi China
| | - Ruili Guo
- School of Chemistry and Chemical Engineering Shihezi University Shihezi China
| | - Zhigang Lei
- School of Chemistry and Chemical Engineering Shihezi University Shihezi China
- State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Beijing China
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28
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Modelling study on phase equilibria behavior of ionic liquid-based aqueous biphasic systems. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.116904] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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29
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Fan J, Saxena S, Xiao C, Mei J, Wang G, Chen A, Zhang W, Li H, Duan A, Roberts WL. Molecular characteristics of sulfur compounds in oxidative desulfurization for heavy fuel oil based on APPI FT-ICR MS analysis. Catal Today 2021. [DOI: 10.1016/j.cattod.2021.12.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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30
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Chen G, Song Z, Qi Z. Transformer-convolutional neural network for surface charge density profile prediction: Enabling high-throughput solvent screening with COSMO-SAC. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.117002] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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31
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Systematic screening of bifunctional ionic liquid for intensifying esterification of methyl heptanoate in the reactive extraction process. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116888] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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32
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Guo C, Zhou H. Multiscale analysis and techno-economic comparison between ionic liquids and organic solvent process for cleaner separation of cresol isomers. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.117322] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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33
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Separation of NH3/CO2 from melamine tail gas with ionic liquid: Process evaluation and thermodynamic properties modelling. Sep Purif Technol 2021. [DOI: 10.1016/j.seppur.2021.119007] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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34
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Chai S, Li E, Zhang L, Du J, Meng Q. Crystallization solvent design based on a new quantitative prediction model of crystal morphology. AIChE J 2021. [DOI: 10.1002/aic.17499] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Shiyang Chai
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology Dalian China
| | - Enhui Li
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology Dalian China
| | - Lei Zhang
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology Dalian China
| | - Jian Du
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology Dalian China
| | - Qingwei Meng
- Department of Pharmaceutical Science School of Chemical Engineering, Dalian University of Technology Dalian China
- Ningbo Institute of Dalian University of Technology Ningbo China
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35
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Chen Y, Meng X, Cai Y, Liang X, Kontogeorgis GM. Optimal Aqueous Biphasic Systems Design for the Recovery of Ionic Liquids. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c03341] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Yuqiu Chen
- Department of Chemical and Biochemical Engineering, Technical University of Denmark DK-2800 Lyngby, Denmark
| | - Xianglei Meng
- Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase ComplexSystems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Yingjun Cai
- Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase ComplexSystems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Xiaodong Liang
- Department of Chemical and Biochemical Engineering, Technical University of Denmark DK-2800 Lyngby, Denmark
| | - Georgios M. Kontogeorgis
- Department of Chemical and Biochemical Engineering, Technical University of Denmark DK-2800 Lyngby, Denmark
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36
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Zhang X, Wang J, Song Z, Zhou T. Data-Driven Ionic Liquid Design for CO 2 Capture: Molecular Structure Optimization and DFT Verification. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c01384] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Xiang Zhang
- Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, Magdeburg D-39106, Germany
| | - Jingwen Wang
- Academy of Building Energy Efficiency, School of Civil Engineering, Guangzhou University, Guangzhou 510006, China
| | - Zhen Song
- Process Systems Engineering, Otto-von-Guericke University Magdeburg, Universitätsplatz 2, Magdeburg D-39106, Germany
| | - Teng Zhou
- Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, Magdeburg D-39106, Germany
- Process Systems Engineering, Otto-von-Guericke University Magdeburg, Universitätsplatz 2, Magdeburg D-39106, Germany
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37
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Thermodynamic representation of ionic liquids phase equilibrium with PDH-ASOG and PDH-UNIFAC models. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.115926] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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38
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Chen Y, Garg N, Luo H, Kontogeorgis GM, Woodley JM. Ionic liquid-based in situ product removal design exemplified for an acetone-butanol-ethanol fermentation. Biotechnol Prog 2021; 37:e3183. [PMID: 34129284 DOI: 10.1002/btpr.3183] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 06/07/2021] [Accepted: 06/11/2021] [Indexed: 01/10/2023]
Abstract
Selecting an appropriate separation technique is essential for the application of in situ product removal (ISPR) technology in biological processes. In this work, a three-stage systematic design method is proposed as a guide to integrate ionic liquid (IL)-based separation techniques into ISPR. This design method combines the selection of a suitable ISPR processing scheme, the optimal design of an IL-based liquid-liquid extraction (LLE) system followed by process simulation and evaluation. As a proof of concept, results for a conventional acetone-butanol-ethanol fermentation are presented (40,000 ton/year butanol production). In this application, ILs tetradecyl(trihexyl)phosphonium tetracyanoborate ([TDPh][TCB]) and tetraoctylammonium 2-methyl-1-naphthoate ([TOA] [MNaph]) are identified as the optimal solvents from computer-aided IL design (CAILD) method and reported experimental data, respectively. The dynamic simulation results for the fermentation process show that, the productivity of IL-based in situ (fed-batch) process and in situ (batch) process is around 2.7 and 1.8fold that of base case. Additionally, the IL-based in situ (fed-batch) process and in situ (batch) process also have significant energy savings (79.6% and 77.6%) when compared to the base case.
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Affiliation(s)
- Yuqiu Chen
- Department of Chemical and Biochemical Engineering, Technical University of Denmark, Lyngby, Denmark
| | - Nipun Garg
- Department of Chemical and Biochemical Engineering, Technical University of Denmark, Lyngby, Denmark
| | - Hao Luo
- Department of Chemical and Biochemical Engineering, Technical University of Denmark, Lyngby, Denmark
| | - Georgios M Kontogeorgis
- Department of Chemical and Biochemical Engineering, Technical University of Denmark, Lyngby, Denmark
| | - John M Woodley
- Department of Chemical and Biochemical Engineering, Technical University of Denmark, Lyngby, Denmark
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39
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Zhang X, Ding X, Song Z, Zhou T, Sundmacher K. Integrated ionic liquid and
rate‐based
absorption process design for gas separation: Global optimization using hybrid models. AIChE J 2021. [DOI: 10.1002/aic.17340] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Xiang Zhang
- Process Systems Engineering Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
| | - Xuechong Ding
- Process Systems Engineering Otto‐von‐Guericke University Magdeburg Magdeburg Germany
| | - Zhen Song
- Process Systems Engineering Otto‐von‐Guericke University Magdeburg Magdeburg Germany
| | - Teng Zhou
- Process Systems Engineering Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
- Process Systems Engineering Otto‐von‐Guericke University Magdeburg Magdeburg Germany
| | - Kai Sundmacher
- Process Systems Engineering Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
- Process Systems Engineering Otto‐von‐Guericke University Magdeburg Magdeburg Germany
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40
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Sun Y, Sahinidis NV. A New Functional Group Selection Method for Group Contribution Models and Its Application in the Design of Electronics Cooling Fluids. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c00796] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yijia Sun
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | - Nikolaos V. Sahinidis
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
- H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
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41
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Yang A, Su Y, Shi T, Ren J, Shen W, Zhou T. Energy-efficient recovery of tetrahydrofuran and ethyl acetate by triple-column extractive distillation: entrainer design and process optimization. Front Chem Sci Eng 2021. [DOI: 10.1007/s11705-021-2044-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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42
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Peng D, Horvat DP, Picchioni F. Computer-Aided Ionic Liquid Design and Experimental Validation for Benzene–Cyclohexane Separation. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c05935] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Daili Peng
- Faculty of Science and Engineering, University of Groningen, Nijenborgh 4, Groningen, AG 9747, The Netherlands
| | - Diana P. Horvat
- Faculty of Science and Engineering, University of Groningen, Nijenborgh 4, Groningen, AG 9747, The Netherlands
| | - Francesco Picchioni
- Faculty of Science and Engineering, University of Groningen, Nijenborgh 4, Groningen, AG 9747, The Netherlands
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43
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Gao S, Jin J, Abro M, He M, Chen X. Selection of ionic liquid for extraction processes: Special case study of extractive desulfurization. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2020.12.020] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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44
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Reichl U, Seidel‐Morgenstern A, Sundmacher K, Tsotsas E, van Wachem B. Forschungsarbeiten am Institut für Verfahrenstechnik der Otto‐von‐Guericke‐Universität Magdeburg. CHEM-ING-TECH 2021. [DOI: 10.1002/cite.202100002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Udo Reichl
- Otto von-Guericke Universität Magdeburg Institut für Verfahrenstechnik Universitätsplatz 2 39106 Magdeburg Deutschland
| | - Andreas Seidel‐Morgenstern
- Otto von-Guericke Universität Magdeburg Institut für Verfahrenstechnik Universitätsplatz 2 39106 Magdeburg Deutschland
| | - Kai Sundmacher
- Otto von-Guericke Universität Magdeburg Institut für Verfahrenstechnik Universitätsplatz 2 39106 Magdeburg Deutschland
| | - Evangelos Tsotsas
- Otto von-Guericke Universität Magdeburg Institut für Verfahrenstechnik Universitätsplatz 2 39106 Magdeburg Deutschland
| | - Berend van Wachem
- Otto von-Guericke Universität Magdeburg Institut für Verfahrenstechnik Universitätsplatz 2 39106 Magdeburg Deutschland
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45
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Lei Y, Zhou Y, Wei Z, Chen Y, Guo F, Yan W. Optimal Design of an Ionic Liquid (IL)-Based Aromatic Extractive Distillation Process Involving Energy and Economic Evaluation. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c05183] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Yang Lei
- School of Chemistry and Chemical Engineering, Hubei Key Laboratory of Coal Conversion and New Carbon Materials, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China
- Center for Energy Resources Engineering, Department of Chemistry, Technical University of Denmark, Lyngby 2800, Denmark
| | - Yuhang Zhou
- School of Chemistry and Chemical Engineering, Hubei Key Laboratory of Coal Conversion and New Carbon Materials, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China
| | - Zhiqiang Wei
- SINOPEC Refining Department, Beijing 100728, China
| | - Yuqiu Chen
- Department of Chemical and Biochemical Engineering, Technical University of Denmark, Lyngby 2800, Denmark
| | - Fen Guo
- School of Chemistry and Chemical Engineering, Hubei Key Laboratory of Coal Conversion and New Carbon Materials, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China
| | - Wei Yan
- Center for Energy Resources Engineering, Department of Chemistry, Technical University of Denmark, Lyngby 2800, Denmark
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46
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Chen G, Song Z, Qi Z, Sundmacher K. Neural recommender system for the activity coefficient prediction and
UNIFAC
model extension of ionic
liquid‐solute
systems. AIChE J 2021. [DOI: 10.1002/aic.17171] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Guzhong Chen
- State Key laboratory of Chemical Engineering, School of Chemical Engineering East China University of Science and Technology Shanghai China
| | - Zhen Song
- Process Systems Engineering Otto‐von‐Guericke University Magdeburg Magdeburg Germany
- Process Systems Engineering Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
| | - Zhiwen Qi
- State Key laboratory of Chemical Engineering, School of Chemical Engineering East China University of Science and Technology Shanghai China
| | - Kai Sundmacher
- Process Systems Engineering Otto‐von‐Guericke University Magdeburg Magdeburg Germany
- Process Systems Engineering Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
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47
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Zhou T, Shi H, Ding X, Zhou Y. Thermodynamic modeling and rational design of ionic liquids for pre-combustion carbon capture. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2020.116076] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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48
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Abstract
In addition to proper physicochemical properties, low toxicity is also desirable when seeking suitable ionic liquids (ILs) for specific applications. In this context, machine learning (ML) models were developed to predict the IL toxicity in leukemia rat cell line (IPC-81) based on an extended experimental dataset. Following a systematic procedure including framework construction, hyper-parameter optimization, model training, and evaluation, the feedforward neural network (FNN) and support vector machine (SVM) algorithms were adopted to predict the toxicity of ILs directly from their molecular structures. Based on the ML structures optimized by the five-fold cross validation, two ML models were established and evaluated using IL structural descriptors as inputs. It was observed that both models exhibited high predictive accuracy, with the SVM model observed to be slightly better than the FNN model. For the SVM model, the determination coefficients were 0.9289 and 0.9202 for the training and test sets, respectively. The satisfactory predictive performance and generalization ability make our models useful for the computer-aided molecular design (CAMD) of environmentally friendly ILs.
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49
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A Review of Process Systems Engineering (PSE) Tools for the Design of Ionic Liquids and Integrated Biorefineries. Processes (Basel) 2020. [DOI: 10.3390/pr8121678] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
In this review paper, a brief overview of the increasing applicability of Process Systems Engineering (PSE) tools in two research areas, which are the design of ionic liquids and the design of integrated biorefineries, is presented. The development and advances of novel computational tools and optimization approaches in recent years have enabled these applications with practical results. A general introduction to ionic liquids and their various applications is presented followed by the major challenges in the design of optimal ionic liquids. Significant improvements in computational efficiency have made it possible to provide more reliable data for optimal system design, minimize the production cost of ionic liquids, and reduce the environmental impact caused by such solvents. Hence, the development of novel computational tools and optimization tools that contribute to the design of ionic liquids have been reviewed in detail. A detailed review of the recent developments in PSE applications in the field of integrated biorefineries is then presented. Various value-added products could be processed by the integrated biorefinery aided with applications of PSE tools with the aim of enhancing the sustainability performance in terms of economic, environmental, and social impacts. The application of molecular design tools in the design of integrated biorefineries is also highlighted. Major developments in the application of ionic liquids in integrated biorefineries have been emphasized. This paper is concluded by highlighting the major opportunities for further research in these two research areas and the areas for possible integration of these research fields.
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50
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Abstract
The extent to which cations and anions in ionic liquids (ILs) and ionic liquid solutions are dissociated is of both fundamental scientific interest and practical importance because ion dissociation has been shown to impact viscosity, density, surface tension, volatility, solubility, chemical reactivity, and many other important chemical and physical properties. When mixed with solvents, ionic liquids provide the unique opportunity to investigate ion dissociation from infinite dilution in the solvent to a completely solvent-free state, even at ambient conditions. The most common way to estimate ion dissociation in ILs and IL solutions is by comparing the molar conductivity determined from ionic conductivity measurements such as electrochemical impedance spectroscopy (EIS) (which measure the movement of only the charged, i.e., dissociated, ions) with the molar conductivity calculated from ion diffusivities measured by pulse field gradient nuclear magnetic resonance spectroscopy (PFG-NMR, which gives movement of all of the ions). Because the NMR measurements are time-consuming, the number of ILs and IL solutions investigated by this method is relatively limited. We have shown that use of the Stokes-Einstein equation with estimates of the effective ion Stokes radii allows ion dissociation to be calculated from easily measured density, viscosity, and ionic conductivity data (ρ, η, λ), which is readily available in the literature for a much larger number of pure ILs and IL solutions. Therefore, in this review, we present values of ion dissociation for ILs and IL solutions (aqueous and nonaqueous) determined by both the traditional molar conductivity/PFG-NMR method and the ρ, η, λ method. We explore the effect of cation and anion alkyl chain length, structure, and interaction motifs of the cation and anion, temperature, and the strength of the solvent in IL solutions.
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Affiliation(s)
- Oscar Nordness
- McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Joan F Brennecke
- McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
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