Li Sunwei

2014.11 - 2020.9, Lecturer, Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University

2020.9 - present, Assistant Professor, Shenzhen International Graduate School (SIGS), Tsinghua University

Prof. Li mainly engages in typhoon hazards assessment, offshore wind energy development and urban wind environment research.

In the field of typhoon hazards, Prof. Li uses mesoscale numerical simulation, field flight observation and ground long-range radar observation to systematically study wind fields and extreme sea states caused by typhoons.

In the field of offshore wind energy development, a new design for a flexible multi-body floating foundation to support commercial-sized wind turbine was proposed. The dynamic response and safety of the new floating foundation under extreme sea conditions are being studied by numerical simulation and wave basin test.

In the field of urban wind environment, Prof. Li studies the air quality and wind field at pedestrian level around dense building groups in large cities by using a combination of mesoscale meteorological model and micro scale computational fluid dynamics. Combined with field observation data, the wind environment of major cities in Guangdong, Hong Kong and Macao Bay Area is analyzed.

[1]Tse, K. T., Weerasuriya, A. U., Zhang, X., Li, S.*, Kwok, K. C. S. (2017). Pedestrian-level wind environment around isolated buildings under the influence of twisted wind flows. Journal of Wind Engineering and Industrial Aerodynamics, 162, 12-23.

[2]Liu, Y., Chen, D., Yi, Q., Li, S.* (2017). Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part I: Wind Speed Profile Model. Energies, 10(1), 125.

[3]Song, J., Hu, G., Tse, K. T., Li, S.*, & Kwok, K. C. S. (2017).Performance of a circular cylinder piezoelectric wind energy harvester fitted with a splitter plate. Applied Physics Letters, 111(22), 223903.

[4]Liu, Y. C., Chen, D. Y., Li, S.*, & Chan, P. W. (2018). Revised power-law model to estimate the vertical variations of extreme wind speeds in China coastal regions. Journal of Wind Engineering and Industrial Aerodynamics, 173, 227-240.

[5]Weerasuriya, A., Hu, Z. Z., Zhang, X., Tse, K. T.  Li, S. W.*, & Chan, P. W. (2018). New inflow boundary conditions for modeling twisted wind profiles in cfd simulation for evaluating the pedestrian-level wind field near an isolated building. Building & Environment, 132.,302-318.

[6]Liu Y, Chen D, Li S*, Chan P W. (2018), Discerning the spatial variations in offshore wind resources along the coast of China via dynamic downscaling. Energy. 160: 582-596.

[7]Liu, Y. C., Chen, D. Y., Li, S.* (2018).The artificial generation of the equilibrium marine atmospheric boundary layer for the CFD simulation of offshore wind turbines. Journal of Wind Engineering and Industrial Aerodynamics,183,44-54.

[8]Liu, Y., Chen, D., Li, S.*, Chan, P. W., Zhang, Q. (2019). A three-dimensional numerical simulation approach to assess typhoon hazards in china coastal regions. Natural Hazards.96(2), 809~835.

[9]Li, W., Hu, Z., Pei, Z., Li, S.*, & Chan, P. W. (2020). A discussion on influences of turbulent diffusivity and surface drag parameterizations using a linear model of the tropical cyclone boundary layer wind field. Atmospheric Research, 104847. .

[10]Li, W., Li, S.* (2020). Investigation of Factors Influencing Power Takeoff for a Wind Turbine Installed Inside a High-Rise Building, Journal of Energy Engineering, 164(4),

[11]Li, S., Hu, Z. Z., Chan, P. W., & Hu, G. (2017). A study on the profile of the turbulence length scale in the near-neutral atmospheric boundary for sea (homogeneous) and hilly land (inhomogeneous) fetches. Journal of Wind Engineering and Industrial Aerodynamics, 168, 200-210.

[12]Liu, Y., Li, S., Yi, Q., Chen, D. (2017). Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model. Energies, 10(1), 127.

[13]Liu, Y., Li, S., Chan, P. W., & Chen, D. (2017). Empirical correction ratio and scale factor to project the extreme wind speed profile for offshore wind energy exploitation. IEEE Transactions on Sustainable Energy. 9(3): 1030~1040,

[14]Liu, Y, Li, S, Chan P W, Chen D. (2018). On the failure probability of offshore wind turbines in the China coastal waters due to typhoons: A case study using the OC4-DeepCwind semisubmersible. IEEE Transactions on Sustainable Energy, 10(2), 522-532.

[15]Feng, Y, Li, S, Chan, D, Xiao, Q. (2019). Predictions for combined In-Line and Cross-Flow VIV responses with a novel model for estimation of tension. Ocean Engineering, 191, 106531.