电子邮件:wangwei@ipe.ac.cn
通信地址:北京海淀区中关村北二条1号
邮政编码:100190
研究领域
研究方向:
多尺度CFD,介尺度方法,流态化与多相流
个人简介:
中科院过程所研究员,多相复杂系统国家重点实验室副主任。中国科学院大学教授。2016年获基金委杰出青年基金资助。1994毕业于四川大学,1997年获该校硕士学位,2001年中科院过程所毕业并获工学博士学位。毕业后一直从事颗粒流体系统的模拟与实验研究。提出了“三传一反”耦合过程的多尺度CFD方法,理论证明其优于传统的双流体方法并在工程模拟中得到推广应用;提出的双变元EMMS曳力模型成为国际主流CFD软件(Ansys Fluent, CPFD Barracuda VR, Siemens Star CCM+)标准模块。主持开发EMMS软件,并授权诸多国际知名研究机构使用(如美国NETL国家实验室、Alstom、CSIRO、清华大学、东南大学等)。曾主持国家自然科学基金委面上、重点项目;参与创新群体课题;主持中科院创新方向项目(化工过程模拟)、中科院战略先导专项(低阶煤清洁高效梯级利用关键技术与示范)的项目8(过程模拟放大与系统仿真集成),以及中石油、中石化、Alstom开发项目等。合作专著三本:“From Multiscale Modeling to Meso-Science”(Springer,第3作者),《变径流化床反应器理论与实践》(中国石化出版社,第4作者),"Diameter-Transformed Fluidized Bed: Fundamentals and Practice" (Springer Nature, 第5作者),受邀为Wiley出版的Handbook of Combustion、Elsevier出版丛书Advances in Chemical Engineering、化工出版社的《流态化手册》等专著撰写5章(节)。2002-2005兼任过程所团委书记。曾获中科院首届"卢嘉锡青年人才奖";化工三大期刊Chem Eng Sci最高引用作者奖;颗粒学会首届MIC-Particuology杰出论文奖、自然科学奖一等奖(第2);中国化工学会“侯德榜化工科技青年奖”、技术发明奖一等奖(第2);中国科协杰出青年(成果转化)奖; 教育部科学技术进步奖一等奖(第13);唐立新教学名师奖等。2010年发表在Int. J. Multiphase Flow的多尺度CFD综述入选"中国百篇最具影响国际学术论文";文章发表信息参见谷歌学术主页https://scholar.google.com/citations?user=eorSSw0AAAAJ&hl=en 以及ResearchGate主页https://www.researchgate.net/profile/Wei-Wang-620
招生信息
招生专业
081702-化学工艺
教育背景
1994-09--1997-08 四川联合大学(四川大学、成都科技大学) 硕士
1990-09--1994-08 四川联合大学(四川大学、成都科技大学) 学士
工作经历
工作简历
社会兼职
2020-04-25-2021-05-08,Processes, Editorial Board
2018-01-01-今,Particuology, Executive Editor
2017-09-29-2020-05-30,Carbon Resources Conversion, Editorial Board
2017-04-30-今,过程工程学报, 编委
2017-03-15-今,中国化工学会过程模拟与仿真专业委员会, 副主任
2014-05-18-今,国际流化床技术大会advisory board,
2013-01-01-2014-10-01,第11届国际流化床技术大会秘书长,
2011-11-11-今,中国科学院青年创新促进会会员,
教授课程
专利与奖励
奖励信息
专利成果
出版信息
发表著作
科研活动
科研项目
代表文章
Multiscale CFD
l Geng J, Yang Z, Tian Y, Lu B, Wang W. 2023. On the differences between periodic domain and fluidized bed. Chemical Engineering Science 268:118395
l Geng, J., Tian, Y., Wang, W.* Exploring a Unified EMMS Drag Model for Gas-Solid Fluidization. Chemical Engineering Science, 2022, 251: 117444.
l Tian, Y.*, Geng, J., Wang, W.* On the choice of mesoscale drag markers. AIChE Journal, 2022, 68: e17558.
l Yang, Z., Lu, B.*, Wang, W.* Coupling Artificial Neural Network with EMMS drag for simulation of dense fluidized beds. Chemical Engineering Science, 2021, 246: 117003.
l Wang, W.*, Lu, B., Geng, J., Li, F. Mesoscale drag modeling: a critical review. Current Opinion in Chemical Engineering, 2020, 29: 96-103.
l Tian, Y., Lu, B., Li, F., Wang, W.* A steady-state EMMS drag model for fluidized beds. Chemical Engineering Science, 2020, 219: 115616.
l Luo, H., Lu, B., Zhang, J., Wu, H., Wang, W.*, A grid-independent EMMS/bubbling drag model for bubbling and turbulent fluidization. Chemical Engineering Journal, 2017, 326: 47–57.
l Hong, K., Chen, S., Wang, W.*, Li, J. Fine-grid two-fluid modeling of fluidization of Geldart A particles. Powder Technology 2016, 296: 2-16.
l Song, F., Wang, W.*, Hong, K., Li, J., Unification of EMMS and TFM: structure-dependent analysis of mass, momentum and energy conservation. Chemical Engineering Science, 2014, 120: 112-116.
l Hong, K., Shi, Z., Wang, W.*, Li, J. A structure-dependent multi-fluid model (SFM) for heterogeneous gas-solid flow. Chemical Engineering Science, 2013, 99: 191-202.
l Ullah, A., Wang, W.*, Li, J. Evaluation of drag models for concurrent and countercurrent gas-solid flows. Chemical Engineering Science, 2013, 92: 89-104.
l Hong, K., Wang, W.*, Zhou, Q., Wang, J., Li, J. An EMMS-based multi-fluid model (EFM) for heterogeneous gas–solid riser flows: Part I. Formulation of structure-dependent conservation equations. Chemical Engineering Science, 2012, 75: 376-389. (Chemical Engineering Science Top Cited Papers for 2011 and 2012)
l Wang, J., Zhou, Q., Hong, K., Wang, W., Li, J. An EMMS-based multi-fluid model (EFM) for heterogeneous gas-solid riser flows: Part II. An alternative formulation from dominant mechanisms. Chemical Engineering Science, 2012, 75: 349-358.
l Shi, Z., Wang, W.*, Li, J. A bubble-based EMMS model for gas-solid bubbling fluidization. Chemical Engineering Science, 2011, 66: 5541-5555.
l Ge, W., Wang, W., Yang, N., Li, J. et al. Meso-scale oriented simulation towards virtual process engineering (VPE)—The EMMS Paradigm. Chemical Engineering Science, 2011, 66: 4426-4458. (Chemical Engineering Science Top Cited Papers for 2011 and 2012)
l Lu, B., Wang, W.*, Li, J. Eulerian simulation of gas-solid flows with particles of Geldart groups A, B and D using EMMS-based meso-scale model. Chemical Engineering Science, 2011, 66: 4624-4635.
l Syamlal, M., Guenther, C., Cugini, C., Ge, W., Wang, W., Yang, N., Li, J. Computational science: enabling technology development. Chemical Engineering Progress, 2011, 107(1): 23-29.
l Wang, W.*, Lu, B., Zhang, N., Shi, Z., Li, J. A review of multiscale CFD for gas-solid CFB modeling. International Journal of Multiphase Flow. 2010, 36: 109-118. (Ranking one of 100 Top Scientific Articles-2010 of Chinese Scientists, ISTIC, China, in 2011) (Ranking one of most cited Int J Multiphase Flow articles since 2008 by Elsevier)
l Lu, B., Wang, W.*, Li, J. Searching for a mesh-independent subgrid model for CFD simulation of gas solid riser flows. Chemical Engineering Science, 2009, 64: 3437-3447. (Ranking one of most cited Chem Eng Sci authors) (Ranking one of most cited Chem. Eng. Sci. articles since 2009 by Elsevier)
l Wang, W.*, Li, J. Simulation of gas-solid two-phase flow by a multi-scale CFD approach - extension of the EMMS model to the sub-grid level. Chemical Engineering Science. 2007, 62:208-231. (Ranking one of most cited Chem Eng Sci articles since 2007 by Elsevier)
Non-equilibrium Thermodynamics
l Tian, Y., Geng, J., Wang, W*. Structure-dependent analysis of energy dissipation in gas-solid flows: Beyond nonequilibrium thermodynamics. Chemical Engineering Science, 2017, 171: 271-281.
Granular Matter & Kinetic Theory
l Chen, Y.*, Wang, W*. Reticulate collisional structure in boundary-driven granular gases. Physical Review E, 2019, 100: 042908.
l Chen, Y., Mei, Y., Wang, W. Kinetic theory of binary particles with unequal mean velocities and non-equipartition energies. Physica A 2017, 469: 293-304.
Experiments and Virtual Process Techniques
l Zhu R, Chen Y, Wang W. 2023. Particle tracking velocimetry study of the nonequilibrium characteristics of a fluidized bed. AIChE Journal 69:e18043
l Li Q, Zhu R, Wang W, Chen Y, Li F, Furuhata T. 2023. Time-resolved particle-scale dynamics of a particle-laden jet. Physics of Fluids 35: 013309
l Zhang C, Zhu R, Chen Y, Wang W, Furuhata T. 2023. Configuration-dependent dynamics of non-spherical particles in a gas–solid fluidized bed. Chemical Engineering Journal 465:142969
l Wang, H., Chen, Y.*, Wang, W.* Particle‐level dynamics of clusters: Experiments in a gas‐fluidized bed. AIChE Journal, 2022, 68: e17525.
l Wang, H., Chen, Y.*, Wang, W.* Scale‐dependent nonequilibrium features in a bubbling fluidized bed. AIChE Journal, 2018, 64: 2364-2378.
Numerical Methods
l Song, F., Li, F., Wang, W., Li, J. A sub-grid EMMS drag for multiphase particle-in-cell simulation of fluidization. Powder Technology 2018, 327: 420-429.
l Song, F., Wang, W.*, Li, J. A lattice Boltzmann method for particle-fluid two-phase flow. Chemical Engineering Science, 2013, 102: 442-450.
l Deng, L, Liu, Y., Wang, W.*, Ge, W., Li, J. A two-fluid smoothed particle hydrodynamics (TF-SPH) method for gas-solid fluidization. Chemical Engineering Science, 2013, 99: 89-101.
l Li, F., Song, F., Benyahia, S., Wang, W., Li, J. MP-PIC simulation of CFB riser with EMMS-based drag model. Chemical Engineering Science, 2012, 82: 104-113.
l Xiong, Q., Deng, L, Wang, W.*, Ge, W. SPH method for two-fluid modeling of particle–fluid fluidization. Chemical Engineering Science, 2011, 66: 1859-1865. (Chemical Engineering Science Top Cited Papers for 2011 and 2012)
Flow Regime Transition
l Mei, Y., Zhao, M., Lu, B., Chen, S., Wang, W*. Numerical comparison of two modes of gas-solid riser operation: Fluid catalytic cracking vs CFB combustor. Particuology, 2017, 31: 42-48.
l Ullah, A., Wang, W.*, Li, J. “Generalized fluidization” revisited. Industrial & Engineering Chemistry Research, 2013, 52: 11319−11332.
l Wang, W.*, Lu, B., Li, J. Choking and flow regime transitions: simulation by a multi-scale CFD approach. Chemical Engineering Science. 2007, 62: 814-819.
l Lu, B., Wang, W.*, Li, J. et al. Multiscale CFD simulation of gas-solid flow in MIP reactors with a structure-dependent drag model. Chemical Engineering Science, 2007, 62: 5487-5494.
Mass Transfer and Reactive Flow
l Zhang, C., Lu, B.*, Wang, W.*, Liu, M., Lu, C.*, Ye M. CFD simulation of an industrial MTO fluidized bed by coupling a population balance model of coke content. Chemical Engineering Journal, 2022, 446: 136849.
l Yang L, Han C, Xu J, Lu B, Xu Y, et al. 2023. Role of mesoscale structure in gas–solid fluidization: Comparison between continuum and discrete approaches. Chemical Engineering Journal 454:139979
l Du, C., Han, C., Yang, Z., Wu, H., Luo, H., Niedzwiecki, L., Lu, B.*, Wang, W. Multiscale CFD Simulation of an Industrial Diameter-Transformed Fluidized Bed Reactor with Artificial Neural Network Analysis of EMMS Drag Markers. Industrial & Engineering Chemistry Research, 2022, 61: 8566-8580.
l Chen, S., Fan, Y., Kang, H., Lu, B.*, Tian, Y., Xie, G., Wang, W.*, Lu, C.* 2021. Gas-solid-liquid reactive CFD simulation of an industrial RFCC riser with investigation of feed injection. Chemical Engineering Science, 2021, 242: 116740.
l Dong, W., Wang, W.*, Li, J. A multiscale mass transfer model for gas-solid riser flows: part 1- sub-grid model and simple tests. Chemical Engineering Science. 2008, 63: 2798-2810.
l Dong, W., Wang, W.*, Li, J. A multiscale mass transfer model for gas-solid riser flows: part 2-sub-grid simulation of ozone decomposition. Chemical Engineering Science. 2008, 63: 2811-2823.
l Liu, C., Wang, W.*, Zhang, N., Li, J., Structure-dependent multi-fluid model for mass transfer and reactions in gas–solid fluidized beds. Chemical Engineering Science 2015, 122: 114-129.
l Lu, B., Luo, H., Li, H., Wang, W.*, Ye, M.*, Liu, Z., Li, J., Speeding up CFD simulation of fluidized bed reactor for MTO by coupling CRE model. Chemical Engineering Science 2016, 143: 341-350.
l Lu, B., Zhang, J., Luo, H., Wang, W.*, Li, H., Ye, M.*, Liu, Z., Li, J., Numerical simulation of scale-up effects of methanol-to-olefins fluidized bed reactors. Chemical Engineering Science 2017, 171: 244-255.
l Zhang, J., Lu, B., Chen, F., Li, H., Ye, M., Wang, W., Simulation of a large methanol-to-olefins fluidized bed reactor with consideration of coke distribution. Chemical Engineering Science 2018, 189: 212-220.