A5063120442- Wind Energy Research and Development
- Wind and Air Flow Studies
- Fluid Dynamics and Vibration Analysis
- Fluid Dynamics and Turbulent Flows
- Aerodynamics and Fluid Dynamics Research
- Heat Transfer Mechanisms
- Icing and De-icing Technologies
- Computational Fluid Dynamics and Aerodynamics
- Aerodynamics and Acoustics in Jet Flows
- Turbomachinery Performance and Optimization
- Wind Turbine Control Systems
- Aerospace Engineering and Energy Systems
- Energy Load and Power Forecasting
- Lattice Boltzmann Simulation Studies
- Advanced Manufacturing and Logistics Optimization
- Vibration and Dynamic Analysis
- Cosmology and Gravitation Theories
- Aeolian processes and effects
- Composite Structure Analysis and Optimization
- Geomagnetism and Paleomagnetism Studies
- Model Reduction and Neural Networks
- Electric Power System Optimization
- Black Holes and Theoretical Physics
- Color Science and Applications
- Intraperitoneal and Appendiceal Malignancies
Traditional Chinese Medicine Hospital of Kunshan
2025
Shanghai University of Traditional Chinese Medicine
2025
North China Electric Power University
2015-2024
Kunshan Govisionox Optoelectronic (China)
2024
Nantong University
2023
China Electric Power Research Institute
2022
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources
2020-2021
Northwestern Polytechnical University
2021
Tsinghua University
2009-2013
China Guodian Corporation (China)
2013
Atmospheric stability can significantly influence the spreading of wind-turbine wakes. The previous studies often coupled atmospheric with turbulence intensity and attributed to enhancement or suppression due buoyancy effect. In this study, we decouple ambient intensity, pure on turbine wakes is investigated at a certain hub-height via large-eddy simulation. We find that spanwise transport plays crucial role in wake recovery, influences by redistributing between three components altering...
Efficient and accurate prediction of the wind turbine dynamic wake is crucial for active control load assessment in farms. This paper proposes a real-time model turbines based on physics-guided neural network. The can predict instantaneous field under various operating conditions using only inflow speed as input. utilizes Taylor's frozen-flow hypothesis steady-state to convert parameters into network input features. A deep convolutional then maps these features desired snapshots, enabling...
Flow over aligned and staggered cube arrays is a classic model problem for rough-wall turbulent boundary layers. Earlier studies of this mainly looked at rough surfaces with moderate coverage density, i.e. $\unicode[STIX]{x1D706}_{p}>O(3\,\%)$ , where $\unicode[STIX]{x1D706}_{p}$ the surface density defined to be ratio between area occupied by roughness total ground area. At lower densities, $\unicode[STIX]{x1D706}_{p}<O(3\,\%)$ it conventionally thought that cubical acts like isolated...
Numerous wind farms are planned and built in the coastal or forest-to-grassland transition areas with abrupt rough-to-smooth surface roughness change. Behind change, atmospheric boundary layer (ABL) undergoes a complex process which brings big challenges to canonical wake models of turbines. To this end, we employ large eddy simulation (LES) investigate development ABL evolution wind-turbine wakes at different positions under abruption from rough smooth, propose novel analytical model. Due...
Cytoreductive surgery serves as a cornerstone intervention for advanced epithelial ovarian cancer (EOC), yet some patients decline the procedure despite clinical recommendations. This study aimed to evaluate survival outcomes and identify sociodemographic factors associated with this decision in EOC patients. A retrospective analysis of cases from Surveillance, Epidemiology, End Results (SEER) database (2004-2021) was conducted, including stage III/IV recommended surgery. Patients were...