[HTML][HTML] Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain?

N Bodini, JK Lundquist, M Optis - Geoscientific Model …, 2020 - gmd.copernicus.org
Current turbulence parameterizations in numerical weather prediction models at the
mesoscale assume a local equilibrium between production and dissipation of turbulence. As …

Floating wind turbine power performance incorporating equivalent turbulence intensity induced by floater oscillations

B Wen, Z Li, Z Jiang, X Tian, X Dong, Z Peng - Wind Energy, 2022 - Wiley Online Library
Extensive assessment about the efficiency and quality of the power production is important
to the floating wind turbine (FWT) development. The power performance of a wind turbine …

[HTML][HTML] Current gust forecasting techniques, developments and challenges

P Sheridan - Advances in Science and Research, 2018 - asr.copernicus.org
Gusts represent the component of wind most likely to be associated with serious hazards
and structural damage, representing short-lived extremes within the spectrum of wind …

[HTML][HTML] A calibration procedure for an analytical wake model using wind farm operational data

J Teng, CD Markfort - Energies, 2020 - mdpi.com
Wind energy is one of the fastest growing renewable energy sources in the US Wind turbine
wakes change the flow field within wind farms and reduce power generation. Prior research …

Improving site-dependent wind turbine performance prediction accuracy using machine learning

S Barber, F Hammer, A Tica - … -ASME Journal of …, 2022 - asmedigitalcollection.asme.org
Data-driven wind turbine performance predictions, such as power and loads, are important
for planning and operation. Current methods do not take site-specific conditions such as …

[HTML][HTML] Assessing boundary condition and parametric uncertainty in numerical-weather-prediction-modeled, long-term offshore wind speed through machine learning …

N Bodini, W Hu, M Optis, G Cervone… - Wind Energy …, 2021 - wes.copernicus.org
To accurately plan and manage wind power plants, not only does the time-varying wind
resource at the site of interest need to be assessed but also the uncertainty connected to this …

[HTML][HTML] Design of a condition monitoring system for wind turbines

J Park, C Kim, MC Dinh, M Park - Energies, 2022 - mdpi.com
Renewable energy is being adopted worldwide, and the proportion of offshore wind turbines
is increasing. Offshore wind turbines operate in harsh weather conditions, resulting in …

[HTML][HTML] Modified power curves for prediction of power output of wind farms

M Vahidzadeh, CD Markfort - Energies, 2019 - mdpi.com
Power curves are used to model power generation of wind turbines, which in turn is used for
wind energy assessment and forecasting total wind farm power output of operating wind …

Measuring turbine inflow with vertically-profiling lidar in complex terrain

S Wharton, JF Newman, G Qualley, WO Miller - Journal of Wind …, 2015 - Elsevier
Abstract Two Laser and Detection Ranging (lidar) units were deployed in the Altamont Pass
region of California to study complex flow dynamics at a moderately complex terrain wind …

Power fluctuation evaluation of large‐scale wind turbines based on SCADA data

J Dai, J Cao, D Liu, L Wen… - IET renewable power …, 2017 - Wiley Online Library
The random fluctuation of wind is the basic factor causing the power fluctuation of wind
turbines. On the basis of the relationship model between wind and power, and considering …