Dr. Weifeng Shen is the Professor at Chongqing University and he is also the Deputy Dean of the Institute of Science and Technology Development of Chongqing University, China. He obtained his PhD at INP-ENSIACET, University of Toulouse, France. He worked as a Postdoc at Clarkson University, USA. His research interests focus on 1. Artificial intelligence based green solvents, new catalysts, and new functional materials discovery; 2. AI-based process optimization for energy saving and carbon emission reduction; 3. AI-based chemical process system engineering. He has so far published more than 100 SCI-indexed research papers, many of them are listed as ESI-Highly Cited Papers and ESI-Hot Paper. He chairs more than 30 high-level research projects including a lot of projects for Chemical industry enterprises. Because of his outstanding contributions, He obtained the National Natural Science Foundation for Outstanding Young Scholars of China, the Science Fund for Distinguished Young Scholars of Chongqing, and was selected as one of the Chongqing Youth Top-notch Talents. He is the Editorial board members of many Journals and professional members of many academic committees.
Contact Information
LC 709, School of Chemistry and Chemical Engineering, Chongqing University, Chongqing, 400044, China.
Email: shenweifeng@cqu.edu.cn
Tel: +86-18502300950
Google Scholar：https://scholar.google.com/citations?user=ai2wuXMAAAAJ&hl=en
ORCID：https://orcid.org/0000-0002-0418-6848
Researchgate：https://www.researchgate.net/profile/Weifeng-Shen-5
Research Interests
1. Artificial intelligence based green solvent design and development
2. AI-based optimization for energy saving and carbon emission reduction
3. Artificial intelligence based chemical process system engineering
Selected Publications
21. Zhang J., Wang Q., Jin S.M., Ren J.Z., Mario Eden., Shen W.F.*, An Accurate and Interpretable Deep Learning Model for Environmental Properties Prediction Using Hybrid Molecular Representations. AIChE J., 2022, 68(6), e17634.
20. Wen H.Q., Su Y, Wang Z.H., Jin S.M., Ren J.Z., Shen W.F.*, Mario Eden., A systematic modeling methodology of deep neural network‐based structure‐property relationship for rapid and reliable prediction on flashpoints. AIChE J., 2022, 68(1), e17402.
19. Su Y., Wang Z.H., Jin S.M., Shen W.F.*, Ren J.Z., Mario Eden, An Architecture of Deep Learning in QSPR Modeling for the Prediction of Critical Properties Using Molecular Signatures. AIChE Journal, 2019, 65(9), e16678.
18. Yang A., Shen W.F.*, Wei S.A., Dong L.C., Li, J., Gerbaud, V. Design and control of pressure-swing distillation for separating ternary systems with three binary minimum azeotropes. AIChE Journal, 2019, 65,1281-1293. （ESI high cited paper）
17.Shen W.F., Dong L.C., Wei S.A., Li J.*, Benyounes H., You X.Q., Gerbaud V. Systematic design of an extractive distillation for maximum-boiling azeotropes with heavy entrainers. AIChE Journal, 2015, 61(11), 3898–3910.
16. Zhang J, Wang Q,Shen W.F.*, Message-passing neural network based multi-task deep-learning framework for COSMO-SAC based r-profile and VCOSMO prediction. Chem. Eng. Sci., 2022, 254, 117624.
15. Wang Z.H., Wen H.Q., Su Y., Shen W.F.*, Ren J.Z., Ma Y.J., Li J., Insights into ensemble learning-based data-driven model for safety-related property of chemical substances. Chem. Eng. Sci., 2022, 248, 117219.
14. Shi T., Chun W., Yang A., Su Y., Jin S.M., Ren J.Z., Shen W.F.* Optimization and control of energy saving side-stream extractive distillation with heat integration for separating Ethyl acetate-ethanol azeotrope. Chem. Eng. Sci., 2019, 215, 115373.（ESI high cited paper）
13. Du J, Cao H.T., Li Y., Yang Z.N., Eslamimanesh A.*, Fakhroleslam M., Mansouri S.S., Shen W.F.*, Development of hybrid surrogate model structures for design and optimization of CO2 capture processes: Part I. Vacuum pressure swing adsorption in a confined space, Chem. Eng. Sci., 2024, 283,119379.
12. Yang A., Zou H.C., Chien I.L., Wang D., Wei S.A., Ren J.Z., and Shen W.F.* Optimal design and effective control of triple-column extractive distillation for separating Ethyl Acetate/Ethanol/Water with multi-azeotrope. Ind. Eng. Chem. Res., 2019, 58, 7265−7283.（ESI high cited paper）
11. Yang A., Su Y, Wang Z.H., Jin S.M., Ren J.Z., Zhang X.P., Shen W.F.*, James H. Clark., A multi-task deep learning neural network for predicting flammability-related properties from molecular structures. Green Chem., 2021, 23(12), 4451-4465.
10. Wang Z.H., Su Y., Shen W.F.*, Jin S.M.*, Clark J.H., Ren J.Z., Zhang X.P. Predictive deep learning models for environmental properties: the direct calculation of octanol-water partition coefficients from molecular graphs. Green Chem., 2019, 21, 4555-4565.
9. Wang Z.H., Su Y., Jin S.M., Shen W.F.*, Ren J.Z., Zhang X. P., Clark J.H. A novel unambiguous strategy of molecular feature extraction in machine learning assisted predictive models for environmental properties. Green Chem., 2020, 22, 3867-3876.
8. Yang A., Su Y., Shen W.F.*, Chien I.L., Ren J.Z. Multi-objective optimization of organic Rankine cycle system for the waste heat recovery in the heat pump assisted reactive dividing wall column. Energy Conversion and Manage., 2019, 199, 112041.
7. Yan C.L., Yang A., Chien I.L., Wei S.A., Shen W.F.*, Ren J.Z.* Advanced exergy analysis of organic Rankine Cycles for Fischer-Tropsch syngas production with parallel dry and steam methane reforming. Energy Conversion and Manage., 2019, 199, 111963.
6. Yang A., Sun S.R., Eslamimanesh A., Wei S.A., Shen W.F.* Energy-saving investigation for diethyl carbonate synthesis through the reactive dividing wall column combining the vapor recompression heat pump or different pressure thermally coupled technique. Energy, 2019, 172, 320-332.（ESI high cited paper，ESI hot paper）
5. Yang A., Jin S.M., Shen W.F.*, Cui P.Z.*, Chien I.L., Ren J.Z. Investigation of energy-saving azeotropic dividing wall column to achieve cleaner production via heat exchanger network and heat pump technique. J. Clean. Prod., 2019, 234, 410-422.
4. Yang A., Su Y., Chien I.L., Jin S.M., Yan C.L., Wei S.A., Shen W.F.* Investigation of an energy-saving double-thermally coupled extractive distillation for separating ternary system benzene/toluene/cyclohexane. Energy, 2019, 186, 115756.
3. Yang Y., Liu, J., Wei S.A., Shen W.F.*, Li J., Chien I.L. High-efficiency utilization of CO2 in the methanol production by a novel parallel-series system combining steam and dry methane reforming. Energy, 2018, 158, 820–829.
2. Su Y., Jin S.M., Zhang X.P., Shen W.F.*, Mario R. Eden, Ren J.Z., Stakeholder-oriented multi-objective process optimization based on an improved genetic algorithm. Comput. Chem. Eng., 2019, 132(4), 106618.
1. Hu Y.J., Su Y., Jin S.M., Chien I.L., Shen W.F.* Systematic approach for screening organic and ionic liquid solvents in homogeneous extractive distillation exemplified by the tert-butanol dehydration. Sep. Purif. Technol, 2019, 211, 723–737.（ESI high cited paper）
Publications
2024
117. Yang A.*, Sun S.R., Kong Z.Y.*, Zhu S.S., Jaka Sunarso, Shen W.F.*, Energy-efficient heterogeneous triple-column azeotropic distillation process for recovery of ethyl acetate and methanol from wastewater. Comput. Chem. Eng., 2024, 183, 108618.
116. Li. Y., Cao H.T., Wang X., Yang Z.N., Li N., Shen W.F.*, A new Correlation-Similarity Conjoint algorithm for developing Encoder-Decoder based deep learning multi-step prediction model of chemical process. Chem. Eng. Sci., 2024: 119748.
115. Du J., Cao H.T., Li Y., Yang Z.N., Eslamimanesh A.*, Fakhroleslam M., Mansouri S.S., Shen W.F.*, Development of hybrid surrogate model structures for design and optimization of CO2 capture processes: Part I. Vacuum pressure swing adsorption in a confined space. Chem. Eng. Sci., 2024, 283,119379.
114. Zhang J., Wang Q.*, Wen H.Q., Gerbaud V., Jin S.M., Shen W.F.*, Multi-objective Optimization Strategy for Green Solvent Design via Deep Generative Model Learned from Pre-set Molecule Pairs. Green Chemistry. 2024, 26: 412-427.
113. Chang C.L., Shen W.F., Global optimization of the design of intensified shell and tube heat exchanger using tube inserts. Can. J. Chem. Eng. 2024, 102(1): 350-365.
2023
112. Zhang J., Wang Q.*, Mario Eden, Shen W.F.*, A Deep Learning-based Framework Towards inverse Green Solvent Design for Extractive Distillation with Multi-index Constraints. Comput. Chem. Eng., 2023, 177, 108335.
111. Li Y., Hu L.J., Li N., Shen W.F.*, A Light Attention-Mixed-Base Deep Learning Architecture toward Process Multivariable Modeling and Knowledge Discovery. Comput. Chem. Eng., 2023, 174, 108259.
110. Zhou Z.T., Mario Eden, Shen W.F.*, Treat Molecular Linear Notations as Sentences: Accurate Quantitative Structure–Property Relationship Modeling via a Natural Language Processing Approach. Ind. Eng. Chem. Res., 2023, 62(12): 5336-5346.
109. Wen H.Q., Nan S.H., Wu D., Sun Q.H., Tong Y., Zhang J., Jin S.M.*, Shen W. F.*, A Systematic Review on Intensifications of Artificial Intelligence Assisted Green Solvent Development. Ind. Eng. Chem. Res., 2023, 62 (48), 20473-20491.
108. Yang A., Zong Yang Kong*, Sun S.R., Jaka Sunarso, Ren J.Z., Shen W.F.*, Design and Multiobjective Optimization of a Novel Double Extractive Dividing Wall Column with a Side Reboiler Scheme for the Recovery of Ethyl Acetate and Methanol from Wastewater. Ind. Eng. Chem. Res., 2023, 62(44), 18591–18602.
107. Sun S.R., Yang A, Chang C.L., Hua G.Q.*, Ren J.Z., Lei Z.G., Shen W.F.*, Improved Multiobjective Particle Swarm Optimization Integrating Mutation and Changing Inertia Weight Strategy for Optimal Design of the Extractive Single and Double Dividing Wall Column. Ind. Eng. Chem. Res., 2023, 62(43): 17923-17936.
106. Qi L., Yang A., Kong Z.K., Sun S.R.*, Shen W.F.*, Insight on the sustainable design and multi-objective optimization for separating the ternary azeotropic mixture of toluene/n-butanol/water by natural decanting coupled with pressure swing distillation. Sep.Purif.Technol., 2023, 313, 123434.
105. Sun S.R., Fu L.*, Yang A., Shen W.F.*, An intensified energy-saving architecture for side-stream extractive distillation of four-azeotrope mixtures considering economic, environmental and safety criteria simultaneously. Sep. Purif. Technol., 2023, 310: 123132.
104. 文华强, 孙全虎,申威峰*. 基于分子碎片化学空间的智能分子定向生成框架. 化工学报, 2023, DOI: 10.11949/0438-1157.20230992.
103. Li Y., Yang Z.N., Deng X.H., Li N., Li S.C., Lei Z.G., Ali Eslamimanesh, Jin S.M.*, Shen W.F.*, A Mechanism-Data Hybrid-Driven Framework for Identifying Dynamic Characteristic of Actual Chemical Processes. Chem Eng Res. Des., 2023, 199, 115-129.
102. Shen T.J., Teng L.M., Hu Y.J.*, Shen W.F.*, Systematic screening procedure and innovative energy-saving design for ionic liquid-based extractive distillation process. Front. Chem. Sci. Eng., 2023, 17(1): 34-45.
101.Yousaf Ayub, Zhou J.Z., Shen W.F., Ren J.Z.*, Innovative valorization of biomass waste through integration of pyrolysis and gasification: Process design, optimization, and multi-scenario sustainability analysis. Energy., 2023, 282, 128417.
100. Zhou J.Z., Chu Y.T., Ren J.Z.*, Shen W.F., He C., Integrating machine learning and mathematical programming for efficient optimization of operating conditions in organic Rankine cycle (ORC) based combined systems. Energy., 2023, 281, 128218.
99. Yousaf Ayub, Ren J.Z.*, Shi T., Shen W.F., Poultry litter valorization: Development and optimization of an electro-chemical and thermal tri-generation process using an extreme gradient boosting algorithm. Energy., 2023, 263, 125839.
98. Shi T., Zhou J.Z., Ren J.Z.*, Yousaf Ayub, Yu H.S., Shen W.F., Qi L., Yang A. Co-valorisation of sewage sludge and poultry litter waste for hydrogen production: Gasification process design, sustainability-oriented optimization, and systematic assessment. Energy., 2023, 272, 127131.
97. Du L.L., Jin S.M.*, Yang Z.N., Sun S.R., Yang A.*, Shen W.F., An efficient multi-criteria decision making for assessing the optimization of reactive extractive distillation in terms of economy, environment and safety. Chem. Eng. Res. Des., 2023, 197, 838-850.
96. Yousaf Ayub, Zhou J.Z., Ren J.Z.*, Shi T*, Shen W.F., He C., High-Dimensional Model Representation-Based Surrogate Model for Optimization and Prediction of Biomass Gasification Process. Int. J. Energ. Res., 2023, 14, 7787947.
95. Shi T., Md. Abdul Moktadir, Ren J.Z.*, Shen W.F., Comparative economic, environmental and exergy analysis of power generation technologies from the waste sludge treatment. Energy Convers. Manag., 2023, 286, 117074.
94.Yang A., Lusi Ernawati, Wang M*, Zong Yang Kong, Jaka Sunarso, Sun.S.R.*, Shen W.F., Multi-objective optimization of the intensified extractive distillation with side-reboiler for the recovery of ethyl acetate and methanol from wastewater. Sep. Purif. Technol., 2023, 310: 123131.
93. Yousaf Ayub, Zhou J.Z., Ren J.Z.*, Wang Y., Shen W.F., He C., Dong L., Sara Toniolo, Plasma gasification based monetization of poultry litter: System optimization and comprehensive 5E (Energy, Exergy, Emergy, Economic, and Environmental) analysis. Energy Convers. Manag., 2023, 282, 116878.
92.Yousaf Ayub, Zhou J.Z., Ren J.Z.*, Shen W.F., He C, Sara Toniolo, Tri-generation for sustainable poultry litter valorization: Process design, simulation, optimization, and sustainability assessment forwaste-to-wealth. J. Clean. Prod., 2023, 418: 138139
91.Yousaf Ayub, Hu Y.S., Ren J.Z.*, Shen W.F., Carman K.M.Lee, Hydrogen prediction in poultry litter gasification process based on hybrid data-driven deep learning with multilevel factorial design and process simulation: A surrogate model. Eng. Appl. Artif. Intel., 2023, 126: 107018.
90. Chu Y.T., Zhou J.Z., Ren J.Z.*, Shen W.F., He C., Conversion of medical waste into value-added products using a novel integrated system with tail gas treatment: Process design, optimization, and thermodynamic analysis. J. Hazard.Mater., 2023, 455, 131551.
2022
89. Zhang J., Wang Q., Jin S.M., Ren J.Z., Mario Eden., Shen W.F.*, An Accurate and Interpretable Deep Learning Model for Environmental Properties Prediction Using Hybrid Molecular Representations. AIChE J., 2022, 68(6), e17634.
88. Wen H.Q., Su Y, Wang Z.H., Jin S.M., Ren J.Z., Shen W.F.*, Mario Eden., A systematic modeling methodology of deep neural network‐based structure‐property relationship for rapid and reliable prediction on flashpoints. AIChE J., 2022, 68(1), e17402.
87. Zhang J., Wang Q., Shen W.F.*, Message-passing neural network based multi-task deep-learning framework for COSMO-SAC based σ-profile and VCOSMO prediction. Chem. Eng. Sci., 2022, 254, 117624.
86. Wang Z.H., Wen H.Q., Su Y., Shen W.F.*, Ren J.Z., Ma Y.J., Li J., Insights into ensemble learning-based data-driven model for safety-related property of chemical substances. Chem. Eng. Sci., 2022, 248,117219.
85. Huang B.X., Tong T., Chen Y., Ali Eslamimanesh, Wei S.A.*, Shen W.F.*, Dual Self-Adaptive Intelligent Optimization of Feature and Hyperparameter Determination in Constructing a DNN Based QSPR Property Prediction Model. Ind. Eng. Chem. Res., 2022, 61, 32, 12052-12060.
84. Qi L., Li J.L., Yang A.*, Yi X.G., Shen W.F.*, Towards a sustainable azeotrope separation of acetonitrile/water by the synergy of ionic liquid-based extractive distillation, heat integration and multi-objective optimization. Ind. Eng. Chem. Res., 2022, 61, 9833-9846.
83. Zhang J., Wang Q.*, Shen W.F.*, Hyper-parameter optimization of multiple machine learning algorithms for molecular property prediction using hyperopt library, Chinese J. Chem. Eng., 2022, 52, 115-125.
82.Yang A., Kong Z.Y., Jaka Sunarso, Shen W.F.*, Towards energy saving and carbon reduction of pressure-swing distillation for separating the ternary azeotropic mixtures by thermodynamic insights and process intensification. Sep.Purif.Technol., 2022, 301, 121983.
81. Kong Z.Y., Eduardo S., Yang A., Shen W.F.*, Juan G. S.*, Jaka Sunarso., Process Intensification from conventional to advanced distillations: Past, present, and future. Chem. Eng. Res. Des., 2022, S0263-8762(22)00553-6, DOI: https://doi.org/10.1016/j.cherd.2022.09.056.
80. Yang A.*, Su Y., Sun S. R., Shen W.F.*, Bai M.N., Ren J.Z.*, Towards sustainable separation of the ternary azeotropic mixture based on the intensified reactive-extractive distillation configurations and multi-objective particle swarm optimization. J. Clean. Prod., 2022, 332, 130116.
79. Yang A., Su Y., Shi T., Ren J.Z., Shen W.F.*, Zhou T.*, Energy-efficient recovery of tetrahydrofuran and ethyl acetate by triple-column extractive distillation: entrainer design and process optimization. Front. Chem. Sci. Eng, 2022, 16(2), 303–315.
78. Yang A., Wang W.H., Sun S.R., Shi T., Ren J.Z., Bai M.N., Shen W.F.*,Sustainable design and multi-objective optimization of eco-efficient extractive distillation with single and double entrainer(s) for separating the ternary azeotropic mixture tetrahydrofuran/ethanol/methanol. Sep. Purif. Technol., 2022, 285, 120413.
77. Lu L.X., Hua G.Q., Tao J.Q., Chen Y., Zhang Y.S., Shen W.F.*, An energy sustainable approach of heat-pump assisted azeotropic divided wall column based on the organic Rankine cycle. Braz J Chem.Eng., 2022, 39: 539-552.
76. Shen T.J., Teng L.M., Hu Y.J., Shen W.F.*, Systematic screening procedure and innovative energy-saving design for ionic liquid-based extractive distillation process. Front. Chem. Sci. Eng., doi: 10.1007/s11705-022-2234-3.
75. Ma K.B., Shi T., Hu Y.S., Yang S., Shen W.F., He C., Liu Y., Liu Z.Q., Ren J.Z.*, Poultry litter utilization for waste-to-wealth: Valorization process simulation and comparative analysis based on thermodynamic and techno-economic assessment. Energ. Convers. Manage., 2022, 269, 116135.
74. Shi T., Liu Y., Yang A., Sun S.R., Shen W.F., Ren J.Z.*, Developing a novel gasification-based sludge-to-methanol utilization process and exergy-economic-environmental (3E) analysis. Energy Convers. Manag., 2022, 260, 115600.
73. Shi T., Liu Y., Yang A., Sun S.R., Shen W.F., Lee C.K., Ren J.Z.*, Improved design of heat-pump extractive distillation based on the process optimization and multi-criteria sustainability analysis. Comput. Chem. Eng., 2022, 156, 107552.
72. Guella Fadia., Benyounes Hassiba., Shen W.F.,Separation of ethanol-water mixture by extractive distillation using pyridinium-based ionic liquid 1-ethyl-3-methylpyridinium ethylsulfate. Chem. Eng. Process., 2022, 173, 108815.
2021
71. Yang A., Su Y, Wang Z.H., Jin S.M., Ren J.Z., Zhang X.P., Shen W.F.*, James H. Clark., A multi-task deep learning neural network for predicting flammability-related properties from molecular structures. Green Chem., 2021, 23(12), 4451-4465.
70. Yuan B.H., Yang Z.N., Yang A., Tao J.Q., Ren J.Z., Wei S.A.*, Shen W.F.*, Target localization optimization of a superstructure triple-column extractive distillation with four-parallel evaporator organic Rankine cycles system based on advanced exergy analysis. Sep. Purif. Technol., 2021, 272, 118894.
69. Gao Y.J., Liang K., Gou Y., Wei S.A., Shen W.F.*, Cheng F.Q.* Aluminum extraction technologies from high aluminum fly ash. Rev. in Chem. Eng., 2021, 37(8), 885-906.
68. Hu Y.J., Feng J.Q., Zhang X.P., Gao H.S., Jin S.M., Liu L.*, Shen W.F.*, Efficient electrochemical reduction of CO2 to CO in ionic liquids. ChemistrySelect, 2021, 6(37), 9873-9879.
67. Gu X.C., Zhang X.C.*, Yang Z.F., Shen W.F., Deng C., Zeng S.J., Zhang X.P.*, Technical-environmental assessment of CO2 conversion process to dimethyl carbonate/ethylene glycol. J. Clean. Prod., 2021, 288, 125598.
66. Lin R.J., Lu S.F., Yang A., Shen W.F., Ren J.Z.*, Multi-criteria sustainability assessment and decision-making framework for hydrogen pathways prioritization: An extended ELECTRE method under hybrid information. Int. J. Hydrogen Energy , 2021, 46(24), 13430-13445.
65. Amiri N., Benyounes H.*, Lounis Z., Shen W.F., Design of absorption process for CO2 capture using cyano based anion ionic liquid. Chem. Eng. Res. Des., 2021, 169, 239-249.
2020
64. Wang Z.H., Su Y., Jin S.M., Shen W.F.*, Ren J.Z., Zhang X. P., Clark J.H., A novel unambiguous strategy of molecular feature extraction in machine learning assisted predictive models for environmental properties. Green Chem., 2020, 22(12), 3867-3876.
63.Su Y., Yang A., Jin S.M., Shen W.F.*, Cui P.Z., Ren J.Z., Investigation on ternary system tetrahydrofuran/ethanol/water with three azeotropes separation via the combination of reactive and extractive distillation. J. Clean. Prod., 2020, 273, 123145.
62. Shi T., Chun W., Yang A., Su Y., Jin S.M., Ren J.Z., Shen W.F.*, Optimization andcontrol of energy saving side-stream extractive distillation with heat integration for separating ethyl acetate-ethanol azeotrope. Chem. Eng. Sci., 2020, 215, 115373.
61. Yang A., Su Y., Teng L.M.*, Jin S.M., Zhou T., Shen W.F.*, Investigation of energy-efficient and sustainable reactive/pressure-swing distillation processes to recover tetrahydrofuran and ethanol from the industrial effluent. Sep. Purif. Technol, 2020, 250, 117210.
60. Sun S.R., Chun W., Yang A., Shen W.F.*, Cui P.Z., Ren J.Z., The separation of ternary azeotropic mixture: Thermodynamic insight and improved multi-objective optimization. Energy, 2020, 206, 118117.
59. Wang H., Su Y., Wang D., Jin S.M., Wei S.A.*, Shen W.F.*, Optimal design and energy-saving investigation of the triple CO2 feeds for methanol production system by combining steam and dry methane reforming. Ind. Eng. Chem. Res., 2020, 59(4), 1596-1606.
58. Li Y.C., Wei R.X., Zhang R.Y., Shen W.F.*, Jin S.M.*, In silico modelling of a novel refrigeration process of the ammonia/water falling-film absorption. Ind. Eng. Chem. Res., 2020, 59, 1362-1373.
57. Su Y., Jin S.M., Zhang X.P., Shen W.F.*, Mario R. Eden, Ren J.Z., Stakeholder-oriented multi-objective process optimization based on an improved genetic algorithm. Comput. Chem. Eng., 2020, 132(4), 106618.
56. 田璐瑶, 王梓豪, 粟杨, 文华强, 申威峰*,. 基于深度学习的溶剂定量构效关系建模研究进展. 化工学报, 2020, 71(10), 4462-4472.
55. 孙诗瑞,杨傲,石涛,申威峰*,. 特殊精馏热耦合强化技术研究进展.化工学报, 2020, 71(10), 4575-4589.
54. Hu Y.J., Li F.H., Wei S.A., Jin S.M.*, Shen W.F.*, Design and optimization of the efficient extractive distillation process for separating the binary azeotropic mixture methanol-acetone based on the quantum chemistry and conceptual design. Sep. Purif. Technol., 2020, 242, 116829.
53. Yang A., Chun W., Sun S.R., Shi T., Ren J.Z., Shen W.F.*, Dynamic study in enhancing the controllability of an energy-efficient double side-stream ternary extractive distillation of acetonitrile/methanol/benzene with three azeotropes. Sep. Purif. Technol., 2020, 242, 116830.
52.Shi T. , Chun W., Yang A., Jin S.M., Shen W.F.*, Ren J.Z., Gu J.L., The process control of the triple-column pressure-swing extractive distillation with partial heat integration, Sep. Purif. Technol., 2020, 238, 116416.
51. Su Y., Lv L. P., Shen W.F.*, Wei S. A., An efficient technique for improving methanol yield using dual CO2 feeds and dry methane reforming. Front. Chem. Sci. Eng., 2020, 14(4), 614-628.
50. Liang K., Jin S.M., Chen H.Z., Ren J.Z., Shen W.F.*, Wei S.A.*, Parametric optimization of packed bed for activated coal fly ash waste heat recovery using CFD techniques. Chinese J. Chem. Eng., 2020, 28(2), 518-525.
49. Feng Z.M., Shen W.F., Rangaiah G.P.*, Dong L.C.*, Design and control of vapor recompression assisted extractive distillation for separating n-hexane and ethyl acetate. Sep. Purif. Technol., 2020, 240, 116655.
48. Ren J.Z.*, Ren X.S., Shen W.F., Man Y., Lin R.J., Liu Y., He C., Toniolo S., Dong L.C.*, Industrial system prioritization using the sustainability-interval-index conceptual framework with life-cycle considerations. AIChE J., 2020. 66(6), e16961.
47. Addouni M., Benyounes H.*, Jin S.M.*, Haddou B., Shen W.F., Extraction process design for the separation of aromatic and aliphatic hydrocarbon using organic solvent, ionic liquid or their mixture: a comparative study. Braz. J. Chem. Eng., 2020, 37(1), 307-322.
46. Xu D.*, Li W.C., Ren X.S., Shen W.F., Dong L.C.*, Technology selection for sustainable hydrogen production: a multi-criteria assessment framework under uncertainties based on the combined weights and interval best-worst projection method. Int. J. Hydrogen Energ., 2020, 45(59), 34396-34411.
2019
45. Su Y., Wang Z.H., Jin S.M., Shen W.F.*, Ren J.Z., Mario Eden, An architecture of deep learning in QSPR Modeling for the prediction of critical properties using molecular signatures. AIChE J., 2019, 65(9), e16678.
44. Yang A., Shen W.F.*, Wei S.A., Dong L.C., Li, J., Gerbaud V., Design and control of pressure-swing distillation for separating ternary systems with three binary minimum azeotropes. AIChE J., 2019, 65(4), 1281-1293.
43. Wang Z.H., Su Y., Shen W.F.*, Jin S.M.*, Clark J.H., Ren J.Z., Zhang X.P., Predictive deep learning models for environmental properties: the direct calculation of octanol-water partition coefficients from molecular graphs. Green Chem., 2019, 21(16), 4555-4565.
42. Yang A., Su Y., Shen W.F.*, Chien I.L., Ren J.Z., Multi-objective optimization of organic Rankine cycle system for the waste heat recovery in the heat pump assisted reactive dividing wall column. Energ. Convers. Manage., 2019, 199, 112041.
41. Yan C.L., Yang A., Chien I.L., Wei S.A., Shen W.F.*, Ren J.Z.*, Advanced exergy analysis of organic Rankine cycles for Fischer-Tropsch syngas production with parallel dry and steam methane reforming. Energ. Convers. Manage., 2019, 199, 111963.
40. Yang A., Jin S.M., Shen W.F.*, Cui P.Z.*, Chien I.L., Ren J.Z., Investigation of energy-saving azeotropic dividing wall column to achieve cleaner production via heat exchanger network and heat pump technique. J. Clean. Prod., 2019, 234, 410-422.
39. Yang A., Sun S.R., Eslamimanesh A., Wei S.A., Shen W.F.*, Energy-saving investigation for diethyl carbonate synthesis through the reactive dividing wall column combining the vapor recompression heat pump or different pressure thermally coupled technique. Energy, 2019, 172, 320-332.
38. Yang A., Su Y., Chien I.L., Jin S.M., Yan C.L., Wei S.A., Shen W.F.*, Investigation of an energy-saving double-thermally coupled extractive distillation for separating ternary system benzene/toluene/cyclohexane. Energy, 2019, 186, 115756.
37. Yang A., Zou H.C., Chien I.L., Wang D., Wei S.A., Ren J.Z., Shen W.F.*, Optimal design and effective control of triple-column extractive distillation for separating ethyl acetate/ethanol/water with multi-azeotrope. Ind. Eng. Chem. Res., 2019, 58(17), 7265-7283.
36. Yang A., Shi T., Sun S.R., Wei S. A., Shen W.F.*, Ren J.Z., Dynamic Controllability investigation of an energy-saving double side-stream ternary extractive distillation process, Sep. Purif. Technol, 2019, 225, 41-53.
35. Yang A., Sun S.R., Shi T., Xu D., Ren J.Z., Shen W.F.*, Energy-efficient extractive pressure-swing distillation for separating binary minimum azeotropic mixture dimethyl carbonate and ethanol. Sep. Purif. Technol, 2019, 229, 115817.
34. Shi T., Yang A., Jin S.M., Shen W.F.*, Wei S. A., Ren J.Z., Comparative optimal design and control of two alternative approaches for separating heterogeneous mixtures isopropyl alcohol-isopropyl acetate-water with four azeotropes. Sep. Purif. Technol, 2019, 225, 1-17.
33. Hu Y.J., Su Y., Jin S.M., Chien I.L., Shen W.F.*, Systematic approach for screening organic and ionic liquid solvents in homogeneous extractive distillation exemplified by the tert-butanol dehydration. Sep. Purif. Technol, 2019, 211, 723-737.
32. Yan C.L., Lv L.P., Wei S.A., Eslamimanesh A., Shen W.F.*, Application of retrofitted design and optimization framework based on the exergy analysis to a crude oil distillation plant. Appl. Therm. Eng., 2019, 154, 637-649.
31. Sun S.R., Yang A., Chien I.L., Shen W.F.*, Wei S.A., Ren J.Z., Zhang X.P., Intensification and performance assessment for synthesis of 2-methoxy-2-methyl-heptane through the combined use of different pressure thermally coupled reactive distillation and heat integration technique. Chem. Eng. Process, 2019, 142, 107561.
30. Sun S.R., Lv L.P., Yang A., Wei S.A., Shen W.F.*, Extractive distillation: advances in conceptual design, solvent selection, and separation strategies. Chinese J. Chem. Eng., 2019, 27 (6), 1247-1256.
29. Li F.H., Bai M.N., Wei S.A., Jin S.M.*, Shen W.F.*, Multidimension insight involving experimental and in silico investigation into the corrosion inhibition of N,N-dibenzyl dithiocarbamate acid on copper in sulphuric acid solution. Ind. Eng. Chem. Res., 2019, 58(17), 7166-7178.
28. Feng Z.M., Shen W.F., Rangaiah G. P.*, Lv L.P., Dong L.C.*, Process development, assessment and control of reactive dividing-wall column with vapor recompression for producing n-propyl acetate, Ind. Eng. Chem. Res., 2019, 58 (1), 276–295.
27. Du J.C., Zhou C.L.*, Chen L., Cheng J., Pi P.H., Zuo J.H., Shen W.F., Jin S.M., Tan L.X., Dong L.C., Gate-embedding strategy for pore size manipulation on stainless steel mesh: toward highly efficient water-in-oil nanoemulsions separation. Ind. Eng. Chem. Res., 2019, 58(33), 15288-15296
26. Feng Z.M., Shen W.F., Rangaiah G.P.*, Dong L.C.*, Closed-loop identification and model predictive control of extractive dividing-wall column. Chem. Eng. Process, 2019, 142, 107552.
25. Xiao C., Liao Q., Fu Q.*, Huang Y., Xia A., Shen W.F., Chen H., Zhu X., Exergy analyses of biogas production from microalgae biomass via anaerobic digestion. Bioresource Technology, 2019, 289, 121709.
24. Xu D.*, Li W.C., Shen W.F., Dong L.C.*, Decision-making for sustainability enhancement of chemical systems under uncertainties: combining the vector-based multiattribute decision-making method with weighted multiobjective optimization technique,Ind. Eng. Chem. Res., 2019, 58(27), 12066-12079.
2018
23. Yang Y., Liu, J., Wei S.A., Shen W.F.*, Li J., Chien I.L., High-efficiency utilization of CO2 in the methanol production by a novel parallel-series system combining steam and dry methane reforming. Energy, 2018, 158, 820-829.
22. Yang A., Wei R.X., Sun S.R., Wei S.A., Shen W.F.*, Chien I.L., Energy-saving optimal design and effective control of heat integration-extractive dividing wall column for separating heterogeneous mixture methanol/toluene/water with multiazeotropes. Ind. Eng. Chem. Res., 2018, 57 (23), 8036–8056.
21. Liu J., Yang Y., Wei S.A., Shen W.F.*, Rakovitis N., Li, J.*, Intensified p-xylene production process through toluene and methanol alkylation. Ind. Eng. Chem. Res., 2018, 57 (38), 12829–12841.
20. Wei R.X., Yan C.L., Yang A., Shen W.F.*, Li J., Improved process design and optimization of 200 kt/a ethylene glycol production using coal-based syngas. Chem. Eng. Res. Des., 2018, 132, 551-563.
19. Gu J.L., You X.Q., Tao C.Y., Li J.*, Shen W.F.*, Li J., Improved design and optimization for separating tetrahydrofuran-water azeotrope through extractive distillation with and without heat integration by varying pressure. Chem. Eng. Res. Des., 2018, 133, 303-313.
18.Belabbas A. B. T. W., Benyounes H.*, Haddou B., Shen W.F.*, Improved design of the Lurgi reactor for methanol synthesis industry. Chem. Eng. Technol., 2018, 41(10): 2043-2052.
17. Yi C.C., Shen W.F., Chien I.L.*, Design and control of an energy-efficient alternative process for the separation of methanol/toluene/water ternary azeotropic mixture. Sep. Purif. Technol, 2018, 207, 489-497.
16. Feng Z.M., Shen W.F., Rangaiah G.P.*, Dong L.C.*, Proportional-integral control and model predictive control of extractive dividing-wall column based on temperature differences. Ind. Eng. Chem. Res., 2018, 57(31), 10572-10590
2017年
15. Yang A., Lv L.P., Shen W.F.*, Dong L.C., Li J., Xiao X., Optimal design and effective control of the tert-amyl methyl ether production process using an integrated reactive dividing wall and pressure swing columns. Ind. Eng. Chem. Res., 2017, 5(49), 14565-14581.
14. Seihoub F., Benyounes H., Shen W.F.*, Gerbaud V., An improved shortcut design method of divided wall columns exemplified by a liquefied petroleum gas process. Ind. Eng. Chem. Res., 2017, 56(34), 9710-9720.
13. You X.Q., Gu J.L., Peng C.J., Shen W.F.*, Liu H.L.*, Improved design and optimization for separating azeotropes with heavy component as distillate through energy-saving extractive distillation by varying pressure. Ind. Eng. Chem. Res., 2017, 56(32), 9156-9166.
12. Xu D., Lv L.P., Ren J.Z.*, Shen W.F., Wei S.A., Dong L.C.*, Life cycle sustainability assessment of chemical processes: a vector-based three-dimensional algorithm coupled with AHP. Ind. Eng. Chem. Res., 2017, 56(39), 11216-11227.
2013--2016年
11. Shen W.F., Dong L.C., Wei S.A., Li J.*, Benyounes H., You X.Q., Gerbaud V. Systematic design of extractive distillation for maximum-boiling azeotropes with heavy entrainers. AIChE J., 2015, 61(11), 3898-3910.
10. Shen W.F., Benyounes H., Gerbaud V.*, Extension of thermodynamic insights on batch extractive distillation to continuous operation, 1. azeotropic mixtures with a heavy entrainer. Ind. Eng. Chem. Res., 2013, 52(12), 4606-4622.
9. Shen W.F., Gerbaud V.*, Extension of thermodynamic insights on batch extractive distillation to continuous operation, 2. azeotropic mixtures with a light entrainer. Ind. Eng. Chem. Res., 2013, 52(12), 4623-4637.
8. Benyounes H., Benyahia K., Shen W.F.*, Gerbaud V., Dong L.C., Wei S.A.*, Novel procedure for assessment of feasible design parameters of dividing-wall columns: application to non-azeotropic mixtures. Ind. Eng. Chem. Res., 2015, 54(19), 5307-5318.
7. Shen W.F., Benyounes H., Gerbaud V.*, Extractive distillation: recent advances in operation strategies. Rev. Chem. Eng., 2014, 31(1), 13-26.
6. Benyounes H.*, Shen W.F., Gerbaud V., Entropy flow and energy efficiency analysis of extractive distillation with a heavy entrainer. Ind. Eng. Chem. Res., 2014, 53(12), 4778-4791.
5. Long H., Clark J., Benyounes H., Shen W.F.*, Dong L.C., Wei S.A.*, Optimal design and economic evaluation of dividing-wall columns. Chem. Eng. Technol., 2016, 39(6), 1077-1086.
4. Benyahia K., Benyounes H.*, Shen W.F., Energy evaluation of ethanol dehydration with glycol mixture as entrainer. Chem. Eng. Technol., 2014, 37(6), 987–994.
3. Shen W.F., Benyounes H.*, Song J., Thermodynamic topological analysis of extractive distillation of maximum boiling azeotropes. Braz. J. Chem. Eng., 2015, 32, 957-966.
2. Shen W.F.*, Benyounes H., Dong L.C., Wei S.A.*, Li J., Gerbaud V., Conceptual design of non-ideal mixture separation with light entrainers. Braz. J. Chem. Eng., 2016, 33(4), 1041-1053.
1. Shen W.F., Benyounes H.*, Song J., A review of ternary azeotropic mixtures advanced separation strategies. Theor. Found. Chem. Eng.,2016, 50(1), 28-40.
Book chapter
1.Ren, J. (ed.), Shen, W. (ed.), Man, Y. (ed.) & Dong, L. (ed.), Applications of Artificial Intelligence in Process Systems Engineering，5 Jun 2021, Elsevier. 540 p. DOI：https://doi.org/10.1016/C2019-0-02806-3.
