赵振宙 - 河海大学 - 能源与电气学院

个人简介

学习经历 2002.7~2007.11东南大学能源与环境学院，洁净煤燃烧及发电技术教育部重点实验室，提前攻博，博士学位。 1998.9~2002.7 内蒙古工业大学，学士学位。工作经历 2008.5~现在，河海大学，能源与电气学院，新能源系，专职教师； 2008.9~2010.11 河海大学，水利工程博士后流动站，博士后； 2013.12~2015.12 南京航空航天大学，力学博士后流动站，博士后； 2016.12~2017.12，丹麦科技大学，风能系，访问学者。获奖 2011年河海大学校“优秀共产党员”； 2012年河海大学“青年岗位能手”； 2012年河海大学教学成果奖二等奖《“新能源科学与工程”新兴产业暨国家特色专业建设》； 2014年河海大学教学成果奖“面向发展需求依托优势学科 “新能源科学与工程”专业的创建与实践”； 2013年河海大学大学生暑期社会实践“优秀指导教师”；江苏省第十批“六大人才高峰”高层次人才，2013；河海大学第三批优秀创新人才人选,2014。

研究领域

风力机空气动力学，垂直轴风力机气动性能改善，涡流发生器优化设计、流动控制

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. Zhao, Z.Z.; Shen, W.Z; Wang, R.X.; Wang, T.G; Xu, B.F.; Zheng, Y.; Qian, S.Y., Modeling of wind turbine vortex generators in considering the inter-effects between arrays, Journal of Renewable and Sustainable Energy, 2017.9, 9(5): 1~18(SCI, EI). 2. Zhao, Z.Z; Qian, S.Y; Shen, W.Z.; Wang, T.G.; Xu, B.F.; Zheng, Y.; Wang, R.X., Study on variable pitch strategy in H-type wind turbine considering effect of small angle of attack, Journal of Renewable and Sustainable Energy, 2017.9, 9(5): 1~21(SCI, EI). 3. Zhao Z.Z.; Li T.; Wang T.G.; Liu X.; Zheng Y., Numerical investigation on wind turbine vortex generators employing transition models, Journal of Renewable and Sustainable Energy, 2015.11, 7(6): 1~11(SCI, EI). 4. Zhao Z.Z; Zeng G.Y.; Wang T.G; Xu B.F; Zheng Y., Numerical research on effect of transition on aerodynamic performance of wind turbine blade with vortex generators, Journal of Renewable and Sustainable Energy, 2016.11, 8(6): 1~15(SCI, EI). 5. Zhao Z.Z.; Yan C.; Wang T.G.; Xu B.F.; Zheng Y., Study on approach of performance improvement of VAWT employing double multiplestream tubes model, Journal of Renewable and Sustainable Energy, 2017.3, 9(2):1~23(SCI, EI). 6. Zhao Z.Z, Wang R.X, Shen W.Z., Wang T.G., Xu B.F., Zheng Y. and Qian S.Y, Variable Pitch Approach for Performance Improving of Straight-Bladed VAWT at Rated Tip Speed Ratio, Appl. Sci. 2018, 8, 957:1-23(SCI, EI). 7. Song C.G., Zheng Y., Zhao Z.Z. et.al. Investigation of meshing strategies and turbulence models of computational fluid dynamics simulations of vertical axis wind turbines. Journal of Renewable Sustainable Energy , v 7, n 3, p 115-4934,May 1, 2015(SCI, EI). 8. Wang X., Zheng Y., Zhao Z.Z. Bearing fault diagnosis based on statistical locally linear embedding, Sensors (Switzerland), v 15, n 7, p 16225-16247, July 6, 2015(SCI, EI). 9. B Xu，J Feng，T Wang，Y Yuan，Z Zhao. Application of a turbulent vortex core model in the free vortex wake scheme to predict wind turbine aerodynamics,Journal of Renewable & Sustainable Energy, 2018 , 10 (2) :023303 10. B Xu，T Wang，Y Yuan，Z Zhao，H Liu. A Simplified Free Vortex Wake Model of Wind Turbines for Axial Steady Conditions, Apply science 2018,8(6):866(SCI, EI). 11. BF Xu，L Chen，ZZ Zhao，Y Yuan，TG Wang, Wake structure analysis of wind turbines based on a free vortex wake model, International Conference on Mechanics & Mechani,2016:233-238