关注
Jaime Liew
Jaime Liew
在 mit.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Analytical model for the power–yaw sensitivity of wind turbines operating in full wake
J Liew, AM Urbán, SJ Andersen
Wind Energy Science 5 (1), 427-437, 2020
402020
Wind farm layout optimization with load constraints using surrogate modelling
R Riva, J Liew, M Friis-Møller, N Dimitrov, E Barlas, PE Réthoré, ...
Journal of Physics: Conference Series 1618 (4), 042035, 2020
252020
Yaw induced wake deflection-a full-scale validation study
GC Larsen, S Ott, J Liew, MP van der Laan, E Simon, GR Thorsen, ...
Journal of Physics: Conference Series 1618 (6), 062047, 2020
162020
Streaming dynamic mode decomposition for short‐term forecasting in wind farms
J Liew, T Göçmen, WH Lio, GC Larsen
Wind Energy 25 (4), 719-734, 2022
152022
Farmconners wind farm flow control benchmark: Blind test results
T Göçmen, F Campagnolo, T Duc, I Eguinoa, SJ Andersen, V Petrović, ...
Wind Energy Science Discussions 2022, 1-69, 2022
152022
Active tip deflection control for wind turbines
J Liew, WH Lio, AM Urbán, J Holierhoek, T Kim
Renewable energy 149, 445-454, 2020
152020
LES verification of HAWC2Farm aeroelastic wind farm simulations with wake steering and load analysis
J Liew, SJ Andersen, N Troldborg, T Göçmen
Journal of Physics: Conference Series 2265 (2), 022069, 2022
142022
How does the quantity, resolution, and scaling of turbulence boxes affect aeroelastic simulation convergence?
J Liew, GC Larsen
Journal of Physics: Conference Series 2265 (3), 032049, 2022
142022
The effect of minimum thrust coefficient control strategy on power output and loads of a wind farm
F Meng, AWH Lio, J Liew
Journal of Physics: Conference Series 1452 (1), 012009, 2020
122020
Model-free estimation of available power using deep learning
T Göçmen, J Liew, A Meseguer Urban, AWH Lio
Wind Energy Science Discussions 2019, 1-29, 2019
122019
Model‐free closed‐loop wind farm control using reinforcement learning with recursive least squares
J Liew, T Göçmen, WH Lio, GC Larsen
Wind Energy, 2023
62023
Effect of varying fidelity turbine models on wake loss prediction
J Liew, GR Pirrung, AM Urbán
Journal of Physics: Conference Series 1618 (6), 062002, 2020
62020
The effect of wake position and yaw misalignment on power loss in wind turbines
AM Urbán, J Liew, E Dellwik, GC Larsen
Journal of Physics: Conference Series 1222 (1), 012002, 2019
62019
Efficient Mann turbulence generation for offshore wind farms with applications in fatigue load surrogate modelling
J Liew, R Riva, T Göçmen
Journal of Physics: Conference Series 2626 (1), 012050, 2023
32023
Extending the dynamic wake meandering model in HAWC2Farm: a comparison with field measurements at the Lillgrund wind farm
J Liew, T Göçmen, AWH Lio, GC Larsen
Wind Energy Science 8 (9), 1387-1402, 2023
32023
Extending the Dynamic Wake Meandering Model in HAWC2Farm: Lillgrund Wind Farm Case Study and Validation
J Liew, T Göçmen, AWH Lio, GC Larsen
Wind Energy Science Discussions 2023, 1-25, 2023
22023
Dynamic wake tracking based on wind turbine rotor loads and Kalman filtering
D Onnen, GC Larsen, WH Lio, JY Liew, M Kühn, V Petrović
Journal of Physics: Conference Series 2265 (2), 022024, 2022
22022
Dynamic modelling of wind farms for closed-loop control
J Liew
DTU Wind and Energy Systems, 2022
12022
Wind Farm Control Optimisation Under Load Constraints Via Surrogate Modelling
J Liew, R Riva, M Friis-Møller, T Göçmen
Journal of Physics: Conference Series 2767 (9), 092039, 2024
2024
Investigation of far-wake models coupled with yaw-induction control for power optimization
KS Heck, J Liew, MF Howland
Journal of Physics: Conference Series 2767 (9), 092103, 2024
2024
系统目前无法执行此操作,请稍后再试。
文章 1–20