胡伟飞


    胡伟飞博士,研究员,博士生导师,任职浙江大学机械工程学院设计工程研究所,担任百人计划研究员。目前主要研究领域包括数字孪生、人工智能、可靠性优化设计、风能。

留学工作期间独立及合作完成7项课题,包括美国国家科学基金(NSF)项目、美国爱荷华州能源中心(IAWIND)项目、康奈尔大学Atkinson Center for a Sustainable FutureACSF)基金项目、韩国国家研究基金(NRF)和韩国教育科技部(MEST)项目等。科研贡献:发展了随机不确定力载荷下的可靠性优化设计理论,该理论及算法已成功应用于大型风力发电机叶片优化设计及其他工程领域。在Structural and Multidisciplinary Optimization期刊上发表多篇研究文章,其中一篇被可再生能源国际创新组织(Renewable Energy Global Innovations)评为2016年重点科研文章(Key Scientific Article ) 表彰在可再生和清洁能源系统设计创新性贡献。研发出一种基于地震仪的极高灵敏度健康监测技术,该技术实时采集地表纳米级微扰动信号并通过大数据分析方法检测诊断风机运行状况。开展了对阵风和地表扰动耦合跨学科基础研究。2018年获美国Blavatnik家族基金会年轻科学家奖提名,现为美国机械工程师学会可再生和先进能源系统委员会委员(曾任该委员会2017-2019年度副主席),长期与美国、欧洲、韩国等相关领域同行专家开展国际科研合作。

20189月回母校浙江大学工作以来,主持国家自然科学基金青年科学基金项目1项、国家重点研发计划课题子任务1项、国家重点研发计划项目课题1项(地下工程装备数字孪生技术与系统研发),以及数字孪生相关企业支持项目2项(基于数字孪生技术的智能化生产线设计技术研究与开发、大型风力发电机数字孪生技术研究)。作为中方负责人,与美国康奈尔大学共同开展智能制造系统数字孪生联合研究。

发表国际一流期刊SCI论文22篇(其中Wind Energy期刊封面文章一篇),国际会议论文22篇,研究成果被美国机械工程师学会、美国国家科学基金会、可再生能源国际创新组织等多方报道和高度评价;2018年在国际主流出版社斯普林格(Springer)上出版英文著作1部(截至201912月累计下载12628次)。同时,胡伟飞研究员积极参加并协助组织和服务多个著名国际学术会议,包括ASME IDETC/CIE(美国机械工程师学会-国际设计工程技术和计算机与信息工程大会)、ASME Power & Energy(美国机械工程师学会-动力与能源大会)、NAWEA/WindTech (北美风能学院与未来风能技术国际会议)、WCSMO(世界结构与多学科优化设计大会)等会议,担任18SCI期刊的论文审稿人。目前,担任 Wind Energy (IF=3.125)Journal of Intelligent Manufacturing and Special Equipment期刊编委。

欢迎对数字孪生、人工智能、可靠性优化设计、风能等研究领域感兴趣的同学与我联系(weifeihu@zju.edu.cn)。

 

研究方向:

数字孪生

人工智能

可靠性优化设计

风能

 

工作经历:

201809- 至今        浙江大学机械工程学院,百人计划研究员

201602- 201809  美国康奈尔大学,博士后

导师:Dr. Sara C. Pryor

Dr. Rebecca J. Barthelmie

201701- 201705  美国康奈尔大学,讲师

201609- 201612  美国康奈尔大学,受邀讲师

201508- 201601  美国卡特彼勒技术研发中心,工程师

201409- 201412  美国爱荷华大学,助教

201008- 201508  美国爱荷华大学,助理研究员

200809- 201006  韩国汉阳大学,助理研究员

 

教育背景:

201008- 201508 美国爱荷华大学,机械工程,博士

导师:Dr. K.K. Choi

Dr. Olesya Zhupanska

Dr. James Buchholz

200809- 201006 韩国汉阳大学,机械工程,硕士

导师:Dr. Dong-Hoon Choi

200409- 200806 浙江大学,机械工程及自动化,学士

 

教学课程:

1. 机械工程国际前沿导论 - 深度学习,本科生,2学分,浙江大学,2020年短学期

2. 风场与社区研究(MAE4120/4121 Community Wind Farm Research), 本科生/研究生,4学分,康奈尔大学,2017年春季学期,讲师

3. 风能(MAE 4020 Wind Power),本科生/研究生,3学分,康奈尔大学,2016年秋季学期,受邀讲师

4. 工程数学方法(ME 5113:001 Mathematical Methods in Engineering),本科生,3学分,爱荷华大学,2014年秋季学期,助教

 

发表论文:

After Joining Zhejiang University

27. A.S. Verma*, Z. Jiang, Z. Ren, W. Hu, J.E. Teuwen, 2020, Effects of onshore and offshore environmental parameters on leading edge erosion of wind turbine blades: A comparative study,Journal of Offshore Mechanics and Arctic Engineering, under review.

26. W. Hu, T. Zhang, X. Deng, Z. Liu*, J. Tan, 2020, Digital twin: a state-of-the-art review of its enabling technologies, applications, and challenges,Journal of Intelligent Manufacturing and Special Equipment (accepted).

25. Q. Zhang, W. Hu, Z Liu*, J. Tan, 2020, TBM performance prediction with Bayesian optimization and automated machine learning,Tunnelling and Underground Space Technology , Volume 103, 103493. (IF: 3.942)

24. W. Hu*, Y. He, Z. Liu*, J. Tan, M. Yang, and J. Chen, 2020, Towards a Digital Twin: Time Series Prediction Based on a Hybrid Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks,ASME Journal of Mechanical Design, (published online). (IF: 2.828)

23. W. Lin, Y. Wang*, et al., and W. Hu, 2020, Analysis of damage modes of glass fiber composites subjected to simulated lightning strike impulse voltage puncture and direct high voltage AC puncture,Journal of Composite Materials, accepted. (IF: 1.755)

22. L. Hu, Z. Liu*, W. Hu, Y. Wang, J. Tan, and F. Wu, 2020, Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network,Journal of Manufacturing Systems, Volume 55, pp. 1-14. (IF: 3.642)

21. F. Guo, Z. Liu*, W. Hu, and J. Tan, 2020, Gain prediction and compensation for subarray antenna with assembling errors based on improved XGBoost and transfer learning,IET Microwaves, Antennas & Propagation, published online. (IF: 2.036)

20. W. Hu*, R.J. Barthelmie, F. Letson, and S.C. Pryor*, 2019, Seismic noise induced by wind turbine operation and wind gusts,Seismological Research Letters, Volume 91, Number 1, pp. 427-437. (IF: 3.888)

19.  N. Zhang, Z. Liu*, C. Qiu, W. Hu, and J. Tan, 2019, Optimizing Assembly Sequence Planning using Precedence Graph-based Assembly Subsets Prediction Method,Assembly Automation, published online. (IF: 2.056)

18. J. Cheng, W. Lu, W. Hu*, Z. Liu*, Y. Zhang, and J. Tan, 2019, Hybrid Reliability-Based Design Optimization of Complex Structures with Random and Interval Uncertainties Based on ASS-HRA,IEEE Access, Volume 7, pp. 87097-87109. (IF: 4.098)

17. L. Li, Z. Jiang*, M.C. Ong, and W. Hu, 2019, Design optimization of mooring system: an application to a vessel-shaped offshore fish farm,Engineering Structures, Volume 197, 109363. DOI: 10.1016/j.engstruct.2019.109363. (IF: 3.084)

16. W. Hu, W. Zhao, Y. Wang, Z. Liu, J. Cheng*, and J. Tan, 2019, Design Optimization of Composite Structures Considering Tortuous Lightning Strike and Non-Proportional Multi-Axial Fatigue Damage,Engineering Optimization, published online. (IF: 1.809)

15. F. Letson*, R.J. Barthelmie, W. Hu, L.D. Brown, and S.C. Pryor, 2019, Wind gust quantification using seismic measurements,Natural Hazards, Volume 99, Issue 1, pp. 355-377. (IF: 2.319)

14. F. Letson*, R.J. Barthelmie, W. Hu, S.C. Pryor, 2019, Characterizing wind gusts in complex terrain,Atmospheric Chemistry and Physics, Volume 19, Issue 6, pp. 3797-3819 . (IF: 5.668, 中科院 JCR Top)

13. W. Hu*, R.J. Barthelmie, F. Letson, and S.C. Pryor*, 2019, A new seismic-based monitoring approach for wind turbines,Wind Energy, Volume 22, Issue 4, pp.473-486. DOI: 10.1002/we.2300. (IF: 3.125) 期刊封面文章

Before Joining Zhejiang University

12.  W. Hu, K.K. Choi*, and H. Cho, 2016, Reliability-based design optimization of wind turbine blades for fatigue life under dynamic wind load uncertainty,Structural and Multidisciplinary Optimization, Vol. 54, Issue 4, pp. 953-970.(IF: 3.925, CN: 21) 该文章被可再生能源国际创新组织(Renewable Energy Global Innovations)评为2016年重点科研文章(Key Scientific Article)表彰在可再生和清洁能源系统设计创新性贡献[Link]

11. W. Hu, K.K. Choi*, O. Zhupanska, and J. Buchholz, 2016, Integrating variable wind load, aerodynamic, and structural analyses towards accurate fatigue life prediction in composite wind turbine blades,Structural and Multidisciplinary Optimization, Vol. 53, Issue 3, pp. 375394. (IF: 3.925, CN: 19)

10. W. Hu, D. Park, and D.H. Choi*, 2013, Structural optimization procedure of a composite wind turbine blade for reducing both material cost and blade weight,Engineering Optimization, Vol. 45, Issue 12, pp. 1469-1487. (IF: 1.809, CN: 15)

9. W. Hu, I. Han, S.C. Park, and D.H. Choi*, 2012, Multi-objective structural optimization of a HAWT composite blade based on ultimate limit state analysis,Journal of Mechanical Science and Technology, Vol. 26, Issue 1, pp. 129135. (IF: 1.221, CN: 22)

8. W. Hu*, S.C. Pryor, F. Letson, J. Tytell, and R.J. Barthelmie, 2017, Investigation of gust-seismic relationships and applications to gust detection,Journal of Geophysical Research: Atmospheres, Vol. 122, pp. 140-151, DOI: 10.1002/2016JD025858. 该文章被期刊主编选为亮点文章介绍EditorsHighlight Paper [Link]. (IF: 3.633, CN: 7, 中科院 JCR Top)

7. W. Hu*, S.C. Pryor, F. Letson, and R.J. Barthelmie, 2017, Use of seismic analyses for the wind energy industry,Journal of Solar Energy Engineering-Transactions of The ASME, Vol. 139, Issue 5, pp. 051007-051007-8, DOI: 10.1115/1.4037218. (IF: 1.190, CN: 2)

6. W. Hu*, F. Letson, R.J. Barthelmie, and S.C. Pryor, 2018, Wind gust characterization at wind turbine relevant heights in moderately complex terrain,Journal of Applied Meteorology and Climatology, Vol. 57, No. 7, pp. 1459-1476. (IF: 2.364, CN: 1)

5. Z. Jiang, W. Hu, W. Dong, Z. Gao, and Z. Ren*, 2017, Structural reliability analysis of wind turbines: a review,Energies, Vol. 10, Issue 12, pp. 1-25. (IF: 2.707, CN: 5)

4. P.A. Kulkarni*, W. Hu, A.S. Dhoble, and P.M. Padole, 2017, Statistical wind prediction and fatigue analysis for horizontal-axis wind turbine composite material blade under dynamic loads,Advances in Mechanical Engineering, Vol. 9, No. 9, pp. 1-26, DOI: 10.1177/1687814017724088. 该文章被期刊评选为Article of the Month September. (IF: 1.024, CN: 3)

3. Y. Wang* and W. Hu*, 2017, Investigation of the effects of receptors on the lightning strike protection of wind turbine blades,IEEE Transactions on Electromagnetic Compatibility, Vol. 59, No. 4, pp. 1180-1187, DOI: 10.1109/TEMC.2016.2647260 (IF: 2.274, CN: 1)

2. Z. Fan*, W. Hu, D.H. Choi, and J. Xu, 2011, Study on the parametric optimal design of a different-speed mixer,Advanced Materials Research, Vol. 221, pp. 104110.

1. F. Letson*, S.C. Pryor, R.J. Barthelmie, and W. Hu, 2018, Observed gust wind speeds in the coterminous United States, and their relationship to local and regional drivers,Journal of Wind Engineering and Industrial Aerodynamics, Vol. 173, pp. 199-209. (IF: 3.010, CN: 4)

国际会议论文 Peer-Reviewed Conference Papers

22. W. Hu, Y. He, Z. Liu, J. Tan, M. Yang, and J. Chen 2020,  A hybrid wind speed prediction approach based on ensemble empirical mode decomposition and BO-LSTM neural networks for digital twin,ASME Power 2020 Conference, Anaheim, California, USA, August 2-6, 2020. (Full paper accepted)

21. W. Hu, W. Chen, X. Wang, Z. Liu, J. Tan, and Y. Wang, 2020, Wind turbine blade coating fatigue induced by raindrop impact,ASME Power 2020 Conference, Anaheim, California, USA, August 2-6, 2020. (Full paper accepted)

20. A.S. Verma, S.G.P. Castro, Z. Jiang, W. Hu, and J.J.E. Teuwen, 2020, Leading edge erosion of wind turbine blades: Effects of blade surface curvature on rain droplet impingement kinematics,EAWE's Science of Making Torque from Wind (TORQUE 2020) Conference, Delft, The Netherlands, May 27-29, 2020.

19. W. Hu, X. Wang, Y. Wang, Z. Liu, J. Tan, F. Letson, S. C. Pryor, and R. J. Barthelmie, 2019,  A computational model of wind turbine blade erosion induced by raindrop impact,NAWEA/WindTech 2019 Conference, University of Massachusetts Amherst, October 14-16, 2019.

18. W. Hu, W. Zhao, Y. Wang, Z. Liu, and J. Tan, 2019, Reliability Analysis of Wind Turbine Blades Considering Lightning Strike,NAWEA/WindTech 2019 Conference, University of Massachusetts Amherst, October 14-16, 2019.

17. R.J. Barthelmie et al., W. Hu, and S.C. Pryor, 2019, Wind turbine blade leading-edge erosion: laboratory experiments and image processing under an engaged learning experience,NAWEA/WindTech 2019 Conference, University of Massachusetts Amherst, October 14-16, 2019.

16. W. Hu, Z. Jiang, and Y. Wang, 2018, Reliability analysis of offshore wind turbines using copula,ASME 2018 Power and Energy Conference, 美国佛罗里达州Lake Buena Vista, June 24-28, 2018. (8pp paper published in proceedings)

15. F. W. Letson, R.J. Barthelmie, W. Hu, and S.C. Pryor, 2018, Wind gusts in complex terrain: Analyses of data from Perdigao,EGU2018-9850 European Geophysical Society,奥地利维也纳, April 8-13, 2018.

14. S.C. Pryor, R.J. Barthelmie, L.D. Brown, W. Hu, and F.W. Letson, 2017, How can use of seismometers advance the wind energy industry?Wind Energy Science Conference 2017, 丹麦科技大学 Lyngby, June 26-29, 2017.

13. W. Hu, S.C. Pryor, F. Letson, and R.J. Barthelmie, 2017, Use of seismic analyses for the wind Energy industry,Proceedings of the ASME 2017 Power Conference Joint With ICOPE-17, 美国北卡罗来纳州夏洛特, June 26-30, 2017. (8pp paper published in proceedings)

12. F. Letson, W. Hu, R.J. Barthelmie, J. Tytell, and S.C. Pryor, 2017, Wind gust quantification using seismic measurements,Proceedings of the ASME 2017 11th International Conference on Energy Sustainability, 美国北卡罗来纳州夏洛特, June 26-30, 2017. (8pp paper published in proceedings)

11. W. Hu and Y. Wang, 2017, Optimization design of composite wind turbine blades integrating lightning strike analysis,Proceedings of the ASME 2017 11th International Conference on Energy Sustainability, 美国北卡罗来纳州夏洛特, June 26-30, 2017. (9pp paper published in proceedings)

10. S.C. Pryor, W. Hu, F. Letson, and R.J. Barthelmie, 2017, A new approach to wind turbine condition monitoring,AWEA WindPower Conference, 美国加州阿纳海姆, May 22-25, 2017. 4pp.

9. F. Letson, S.C. Pryor, W. Hu, and R.J. Barthelmie, 2017, Wind gust quantification across the United States using seismic and sonic anemometer observations,AWEA WindPower Conference, 美国加州阿纳海姆, May 22-25, 2017. 4pp.

8. W. Hu, O. Zhupanska, K.K. Choi, and J. Buchholz, 2015, Fatigue life prediction in composite wind turbine blades: effects of variable wind load and non-proportional multi-axial stress states,American Society for Composites 30th Technical Conference, 美国密歇根州东兰辛, September 28-30, 2015. (14pp paper published in proceedings)

7. W. Hu, K.K. Choi, H. Cho, N.J. Gaul, and O. Zhupanska, 2015, Reliability-based design optimization of wind turbine blades for fatigue life under wind load uncertainty,11th World Congress on Structural and Multidisciplinary Optimisation, 澳大利亚悉尼, June 7-12, 2015. (9pp paper published in proceedings)

6. W. Hu, K.K. Choi, O. Zhupanska, and J. Buchholz, 2014, A new fatigue analysis procedure for composite wind turbine blades,AIAA SciTech2014 Conference/32nd ASME Wind Energy Symposium, 美国马里兰州国家港口, January 13-17, 2014. (17pp paper published in proceedings)

5. W. Hu, K.K. Choi, N.J. Gaul, H. Cho, and O. Zhupanska, 2012, Reliability analysis of wind turbine blades for fatigue life under wind load uncertainty,14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 美国印第安纳州印第安纳波利斯, September 17-19, 2012. (15pp paper published in proceedings)

4. W. Hu and K.K. Choi, 2012, Reliability analysis of a 5-MW reference wind turbine blade considering stochastic wind loading,7th China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems, 中国黄山,June 18-21, 2012. (8pp paper published in proceedings)

3. W. Hu and D.H. Choi, 2010, Optimization design of a horizontal axis wind turbine blade based on extreme operating analysis and fatigue life Prediction,International Symposium on Low Carbon & Renewable Energy Technology (ISLCT), 韩国济州岛, November 15-18, 2010.

2. W. Hu and D.H. Choi, 2010, Optimization of a HAWT composite blade based on integrated structural analysis,6th China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems, 日本京都, June 22-25, 2010. (6pp paper published in proceedings)

1. W. Hu, S.J. Yoon, S.C. Park, and D.H. Choi, 2009, Multi-objective structural optimization of composite wind turbine blade,Korean Society of Mechanical Engineers (KSME) 2009 Fall Annual Conference, 韩国平昌, South Korea, November 4-6, 2009. (6pp paper published in proceedings)

 

出版著作:

英文专著(1本)

1. 胡伟飞,高级风力发电机技术 Advanced Wind Turbine Technology,斯普林格国际出版社,瑞士,20186月出版

专著章节(2章)

1. W. Hu, 2019, Artificial intelligence in wind energy,In: Renewable Energy Book Series Wind Energy, ASME Press, Ed. K. R. Rao.

2. W. Hu, Z. Liu*, and J. Tan, 2019, Thermodynamic analysis of wind energy systems,In: Wind Solar Hybrid Renewable Energy System, IntechOpen, Ed. Kenneth Eloghene Okedu. ISBN 978-1-78984-591-4.

 

前沿科技杂志发表:

1. S.C. Pryor, W.Hu, F. Letson, and R.J. Barthelmie, 2016, Applications of seismic analyses to the wind energy industry,Energy-Tech Magazine (ASME Power Conferences official media sponsor), November 2016 issue, 8pp. 该文章获美国机械工程师学会Power&Energy2016会议优秀论文奖.

 

荣誉获奖:

1. 胡伟飞,美国Blavatnik年轻科学家奖(Blavatnik Regional Awards for Young Scientists)康奈尔大学提名, 2018年。

2. 胡伟飞,S.C. Pryor, F. Letson, R.J. Barthelmie, 地震学研究机构联合会(美国IRIS) 重点表彰创新科研项目采用地震仪的阵风检测方法(Detecting Wind Gusts Using Seismometers),第一完成人、第一作者及通讯作者, 地震学研究机构联合会(美国),2017年。

3. 胡伟飞,S.C. Pryor, F. Letson, T. Tytell, R.J. Barthelmie, 中科院 JCR Top 期刊 Journal of Geophysical Research Atmospheres主编 Highlight 论文,第一作者及通讯作者, 2017年。

4. 胡伟飞,康奈尔大学优秀教学培训证书,2016年。

5. 胡伟飞,H. Cho, K.K. Choi, 可再生能源全球创新文章Key Scientific Article, 第一作者, Renewable Energy Global Innovations2016年。

6. 胡伟飞,K.K. Choi, Olesya Zhupanska, James H.J. Buchholz, 美国国家自然科学基金 NSF Iowa EPSCoR项目会议Poster 一等奖, 第一作者, 2014年。

7. 胡伟飞,爱荷华大学研究生执行委员奖Executive Council of Graduate & Professional Students (ECGPS) Grant Award,爱荷华大学, 2013年。

8. 胡伟飞,爱荷华大学Graduate Student Senate (GSS) Travel Funds Award, 爱荷华大学, 2013年。

9. 胡伟飞,美国机械工程师学会尺寸与公差技术专家资格证书(ASME GDTP Technologist Level Certification)2013年。

10.胡伟飞,美国质量学会六西格玛黑段证书(ASQ Six Sigma Black Belt),2013年。

11.胡伟飞,爱荷华大学助理研究员奖学金, 2010-2015年。

12.胡伟飞,韩国BK21(Brain Korea 21)奖学金,2008-2010年。

13.胡伟飞,浙江大学优秀毕业生,2008年。

 

SCI期刊和国际会议论文审稿人:

SCI期刊

1. Structural and Multidisciplinary Optimization

2. Engineering Optimization

3. Engineering Structures

4. Automation in Construction

5. Wind Energy

6. Renewable Energy

7. Journal of Wind Engineering and Industrial Aerodynamics

8. Energies

9. International Journal of Green Energy

10. Geophysical Research Letters

11. Journal of Applied Meteorology and Climatology

12. Sensors

13. Remote Sensing

14. Journal of Engineering for Gas Turbines and Power-Transactions of The ASME

15. Annals of Nuclear Energy

16. Fatigue & Fracture of Engineering Materials & Structures

17. IEEE Transactions on Electromagnetic Compatibility

18. International Journal of Robotics & Automation

国际会议

1. ASME Power & Energy Conference

2. ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE)

3. ASME International Mechanical Engineering Congress & Exposition (IMECE)

4. 12th EAWE PhD Seminar on Wind Energy in Europe

5. 2016 Global Conference on Polymer and Composite Materials

 

重要学术组织成员及职务:

学术学会成员

1. 美国机械工程师学会 American Society of Mechanical Engineers (ASME)

2. 美国航天航空学会 American Institute of Aeronautics and Astronautics (AIAA)

学术组织职务

1. 美国机械工程师学会(ASME)可再生与先进能源系统委员会副主席,2017/06-2019/07.

2. 美国机械工程师学会(ASME)可再生与先进能源系统委员会委员,2016/06-至今.

3. 美国机械工程师学会2018年动力会议Track Co-Organizer of the Track 1-6 Renewable Energy Systems at the ASME 2018 Power and Energy Conference, Lake Buena Vista, Florida, June 26-30, 2018.

4. 美国机械工程师学会2018年动力会议Session Organizer of Session 1-6-1 Advanced Technologies for Wind Energy, Session 1-6-8 Energy Storage and Grid-Connected Distributed Energy System, and Session 1-6-10 Advanced Renewable Technologies I at the ASME 2018 Power and Energy Conference, Lake Buena Vista, Florida, June 26-30, 2018.

5. 美国机械工程师学会2018年动力会议Session Co-Organizer of Session 1-6-5 Marine and Hydrokinetic Energy II at the ASME 2018 Power and Energy Conference, Lake Buena Vista, Florida, June 26-30, 2018.

6. 美国机械工程师学会第十二届国际可持续能源会议Session Organizer of the Wind Energy Systems 1 & 2at the ASME 2018 12th International Conference on Energy Sustainability, Lake Buena Vista, Florida, June 25-28, 2018.

7. 国际动力工程会议Track Co-Organizer of the Track 1-7 Renewable Energy Systems: Solar, Wind, Hydro and Geothermal for the ASME 2017 Power and Energy Conference/International Conference on Power Engineering (ICOPE), Charlotte, North Carolina, June 26-30, 2017.

8. 美国机械工程师学会2017年动力会议Session Organizer of the Advanced Technologies for Wind Energy at the ASME 2017 Power Conference, Charlotte, North Carolina, June 26-30, 2017.

9. 美国机械工程师学会第十一届国际可持续能源会议Session Organizer of the Wind Energy Systems III Session at the ASME 2017 11th International Conference on Energy Sustainability, Charlotte, North Carolina, June 26-30, 2017.

10. 美国机械工程师学会第十一届国际可持续能源会议Session Organizer of the Wind Energy Systems II Session at the ASME 2017 11th International Conference on Energy Sustainability, Charlotte, North Carolina, June 26-30, 2017.

11. 美国机械工程师学会第十一届国际可持续能源会议Session Organizer of the Wind Energy Systems I Session at the ASME 2017 11th International Conference on Energy Sustainability, Charlotte, North Carolina, June 26-30, 2017.

12. 美国机械工程师学会第十届国际可持续能源会议Session Co-Chair of the Wind Farm Planning and Optimization Session at the ASME 2016 10th International Conference on Energy Sustainability, Charlotte, North Carolina, June 26-30, 2016.

13. 美国机械工程师学会第十届国际可持续能源会议Session Co-Chair of the Wind Turbine Design Session at the ASME 2016 10th International Conference on Energy Sustainability, Charlotte, North Carolina, June 26-30, 2016.

 

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