With the increasing level of offshore wind energy investment, it is correspondingly important to be able to accurately characterize the wind resource in terms of energy potential as well …
A robust machine learning methodology is used to generate a site-specific power-curve of a full-scale isolated wind turbine operating in an atmospheric boundary layer to drastically …
Abstract A coupled Large Eddy Simulation (LES) and aeroelastic code was used to evaluate control responses and fatigue loading of a four-inline wind turbine array. Neutral and …
The mid-Atlantic will experience rapid wind plant development due to its promising wind resource located near large population centers. Wind turbines and wind plants create …
HS Kenagy, TL Sparks, CJ Ebben… - Journal of …, 2018 - Wiley Online Library
Although urban NO x lifetimes have been examined extensively during summertime conditions, wintertime NO x chemistry has been comparatively less studied. We use …
The rapid growth of offshore wind energy requires accurate modeling of the wind resource, which can be depleted by wind farm wakes. Turbulence dissipation rate (ϵ) governs the …
As the offshore wind industry emerges on the US East Coast, a comprehensive understanding of the wind resource–particularly extreme events–is vital to the industry's …
The objective of this work is to assess the wind resources of the east coast of Maranhão, Brazil. Wind profilers were combined with micrometeorological towers and atmospheric …
Wind farm power production is known to be significantly affected by turbine wakes. When mesoscale numerical models are used to predict power production, the turbine wakes …