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Rebecca Jane Barthelmie

Researcher at Cornell University

Publications -  269
Citations -  11360

Rebecca Jane Barthelmie is an academic researcher from Cornell University. The author has contributed to research in topics: Wind speed & Wind power. The author has an hindex of 53, co-authored 255 publications receiving 9839 citations. Previous affiliations of Rebecca Jane Barthelmie include Technical University of Denmark & University of East Anglia.

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Analytical modelling of wind speed deficit in large offshore wind farms

TL;DR: In this paper, the authors proposed a model for the wind speed deficit in wind farms and extended it to include both small and large wind farms extending over large areas, and the model handles a regular array geometry with straight rows of wind turbines and equidistant spacing between units in each row.
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Modelling and measuring flow and wind turbine wakes in large wind farms offshore

TL;DR: In this article, the authors compare different types of models from computational fluid dynamics (CFD) to wind farm models in terms of how accurately they represent wake losses when compared with measurements from offshore wind farms.
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The impact of turbulence intensity and atmospheric stability on power deficits due to wind turbine wakes at Horns Rev wind farm

TL;DR: In this paper, the power deficit along rows of wind turbines have been determined for different inflow directions and wind speed intervals, and a method to classify the atmospheric stability based on the Bulk-Ri number has been implemented.
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Climate change impacts on wind energy: A review

TL;DR: In this paper, the authors review possible mechanisms by which global climate variability and change may influence the wind energy resource and operating conditions, summarize some of the tools that are being employed to quantify these effects and the sources of uncertainty in making such projections, and discuss results of studies conducted to date.
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Quantifying the Impact of Wind Turbine Wakes on Power Output at Offshore Wind Farms

TL;DR: In this article, a detailed data ensembles of power losses due to wakes at the large wind farms at Nysted and Horns Rev are presented and analyzed, and a number of ensemble averages are simulated with a range of wind farm and computational fluid dynamics models and compared to observed wake losses.