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Large Eddy Simulation to study wind farm layout effects

This research focuses on simulating the effects of array layout choices on offshore wind farm performance using Large-Eddy Simulation (LES). The code LES code that we have been using is the Software for Offshore/Onshore Wind Farm Applications (SOWFA), developed by the National Renewable Energy Laboratory. The control run is based on the existing offshore wind farm Lillgrund (in Sweden), which includes 48 2.3 MW Siemens wind turbines (hub height 63 m and blade length 46 m). Sensitivity runs were conducted in which the spacing along and across the preveiling wind direction were altered, as well as the alignment of subsequent rows (in line or staggered). The table below shows the first six cases that we have analyzed. Click on an image to see to results of that specific run (WARNING: many links are still under construction).

 

Related publications

Archer, C. L., S. Mirzaeisefat, and L. Sang (2013): Quantifying the sensitivity of wind farm performance to array layout options using large-eddy simulation. Geophysical Research Letters, DOI: 10.1002/grl.50911.

Press coverage

30 October 2013: University of Delaware News Service

Video presentation

Archer, C. L., S. Mirzaeisefat, L. Sang, and S. Xie, 2013: Quantifying array losses due to spacing and staggering in offshore wind farms. American Geophysical Union 2013 Fall Meeting, San Francisco, California, 9-13 December 2013.

Acknowledgements

This research was funded by the University of Delaware Research Foundation. This webpage was created by Adam Crosby, funded by University of Delaware Research Foundation's Research Experience for Undergraduates.

Featured Faculty

Cristina Archer

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Associate Professor Physical Ocean Science and Engineering

 

CEOE School & Departments

School of Marine Science & Policy

Advancing the understanding, stewardship, and conservation of estuarine, coastal, and ocean environments.

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Department of Geological Sciences

Discovering how geological processes have operated over various time scales to create and influence the planet’s surface environments.

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Department of Geography

Investigating the interactions between people and the environment and the processes that explain the location of human and natural phenomena.

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