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汪洋

职称:助理研究员

联系方式:yang.wang@cqu.edu.cn

主要从事:从事电化学能量转换装置(如燃料电池电解池等)多尺度热质传递等相关研究
  • 个人简介
  • 教育经历
  • 研究方向
  • 本科生及研究生培养
  • 科研项目
  • 代表性论文

汪洋,男,河南开封人,工学博士。本硕博毕业于天津大学,2023年1月获得天津大学动力机械及工程专业工学博士学位。2019-2023年先后以研究助理和博士后身份在香港理工大学进行学习交流。2023年6月进入重庆大学能源与动力工程学院任助理研究员/弘深青年教师。

主要从事电化学能量转换装置(如燃料电池电解池等)多尺度热质传递等相关研究,截至目前已在Science Bulletin, International Journal of Heat and Mass TransferApplied Energy等国际期刊上发表SCI收录论文20余篇(一作及通讯10篇),并作为主要完成人获得2022年中国能源研究会学术创新奖一等奖和2022年世界绿色能源学会科技创新奖等国内外科技奖项。


本科 天津大学 热能与动力工程     2012.09~2016.06

硕士 天津大学 动力机械及工程     2016.09~2019.01

博士 天津大学 动力机械及工程     2019.09~2023.01

研究助理 香港理工大学                2019.09~2019.12/2020.10~2022.12

博士后 香港理工大学                   2023.01~2023.06


电化学能量转换装置(如燃料电池电解池等)多尺度热质传递;

CO2电化学还原;

燃料电池和电解池结构设计和宏观尺度模拟;

介观尺度电极微结构设计和优化(格子玻尔兹曼方法和相场方法等);

人工智能与优化算法在电化学装置中的应用等。


欢迎对燃料电池和电解池,CO2电化学还原以及多尺度模拟技术等研究方向有兴趣的同学随时交流


   Peer-reviewed Journals

1.      Wang Y, Wu C, Zhao S, et al. Boosting the performance and durability of heterogeneous electrodes for solid oxide electrochemical cells utilizing an integrated powder-to-power framework. Science Bulletin, 2023, 68(5): 516-527. (JCR Q1, IF: 20.577)

2.      Guo Z#, Wang Y#, Zhao S, et al. Modeling and optimization of micro heat pipe cooling battery thermal management system via deep learning and multi-objective genetic algorithms. International Journal of Heat and Mass Transfer, 2023, 207:124024. (Equal Contribution) (JCR Q1, IF: 5.431)

3.      Wang Y, Wu C, Zhao S, et al. Assessing performance degradation induced by thermal cycling in solid oxide cells. Energy Conversion and Management, 2022, 270: 116239. (JCR Q1, IF: 11.533)

4.      Wang Y, Wu C, Zhao S, et al. Coupling deep learning and multi-objective genetic algorithms to achieve high performance and durability of direct internal reforming solid oxide fuel cell. Applied Energy, 2022, 315: 119046. (JCR Q1, IF: 11.446)

5.      Wang Y, Wu C, Wang Y*, et al. Assessment of CO2 enrichment mechanism in integrated coal gasification fuel cell combined cycle system with carbon capture. Frontiers in energy research, 2023, 10:1017829. (Corresponding author) (JCR Q3, IF: 3.858)

6.      Wang Y, Wu C, Zu B, et al. Ni migration of Ni-YSZ electrode in solid oxide electrolysis cell: An integrated model study. Journal of Power Sources, 2021, 516: 230660. (JCR Q1, IF: 9.794)

7.      Wang Y, Wu C, Du Q, et al. Morphology and performance evolution of anode microstructure in solid oxide fuel cell: a model-based quantitative analysis. Applications in Energy and Combustion Science, 2021, 5: 100016.

8.      Wang Y, Zu B, Zhan R, et al. Three-dimensional Modeling and Performance Optimization of Proton Conducting Solid Oxide Electrolysis Cell. Fuel Cells, 2020, 20(6): 701-711. (JCR Q3, IF: 2.948)

9.      Wang Y, Du Y, Ni M, et al. Three-dimensional modeling of flow field optimization for co-electrolysis solid oxide electrolysis cell. Applied Thermal Engineering, 2020, 172: 114959. (JCR Q1, IF: 6.465)

10.   Wang Y, Zhan R, Qin Y, et al. Three-dimensional modeling of pressure effect on operating characteristics and performance of solid oxide fuel cell. International Journal of Hydrogen Energy, 2018, 43(43): 20059-20076. (JCR Q2, IF: 7.139)

Conference papers and presentations

1.      Wang Y, Zhao S, Guo Z, et al. Numerical Investigation of Ni Migration in SOC Fuel Electrode Using Phase Field Model and Lattice Boltzmann model. The 23rd World Hydrogen Energy Conference, Istanbul, Turkey 2022.

2.      Wang Y, Zhao S, Guo Z, et al. Boosting the performance and durability of Solid oxide electrochemical cells (SOCs) using a data-driven Powder-to-Power framework. The 3rd International Conference on Energy and AI, University of Technology of Belfort-Montbeliard Sevenans Campus, France 2022.

3.      Wang Y, Jiao K, Wu C, et al. Two-dimensional modeling of solid oxide fuel cell with thermally induced delamination. The 13th International Green Energy Conference, Tianjin, China 2021.

Books and Chapters

1.      Wang Y, Wu C, Jiao K, et al. Modeling of Solid Oxide Electrolysis Cells, Chapter in High Temperature Electrolysis, Editor: Miguel A. Laguna-Berrcero, SpringerNature.

2.      Wang Y. Industry and AI, Chapter in Energy and AI, Editor: Kui Jiao, in-press (in Chinese).