Parametric Analysis of Inter-Farm Wake Interactions in Offshore Wind Farm Projects Along the US East Coast

Abstract This study explores the effects of various parameters on wake interactions between offshore wind farms, with a particular focus on the Revolution-Southfork Wind and Vineyard Wind projects. The research examines how factors such as Euclidean distances, turbine-rated power, rotor diameters, and the number of turbines at upstream farms impact the annual energy production (AEP) of downstream installations. The results reveal significant variations in AEP losses, with the Nygaard model demonstrating a marked sensitivity to changes in turbine-rated power, rotor diameter, and the differing Euclidean distances between farms. Our findings indicate that strategic planning regarding turbine characteristics and farm placements is essential for optimizing energy output and reducing wake-induced power losses. These insights lay the groundwork for further analytical research.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3016/1/012049
Primary Topic
Wind Energy Research and Development
Type
article
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article

Parametric Analysis of Inter-Farm Wake Interactions in Offshore Wind Farm Projects Along the US East Coast

Rafael Valotta Rodrigues, Ana Moura
Journal of Physics Conference Series
Wind Energy Research and Development
article

Parametric Analysis of Inter-Farm Wake Interactions in Offshore Wind Farm Projects Along the US East Coast

Rafael Valotta Rodrigues, Ana Moura
article en

Abstract

Abstract This study explores the effects of various parameters on wake interactions between offshore wind farms, with a particular focus on the Revolution-Southfork Wind and Vineyard Wind projects. The research examines how factors such as Euclidean distances, turbine-rated power, rotor diameters, and the number of turbines at upstream farms impact the annual energy production (AEP) of downstream installations. The results reveal significant variations in AEP losses, with the Nygaard model demonstrating a marked sensitivity to changes in turbine-rated power, rotor diameter, and the differing Euclidean distances between farms. Our findings indicate that strategic planning regarding turbine characteristics and farm placements is essential for optimizing energy output and reducing wake-induced power losses. These insights lay the groundwork for further analytical research.

Journal of Physics Conference SeriesVol. 3016(1)
University of Massachusetts Boston (US)
Openalex Percentile: Top 84%
Wind Energy Research and Development
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Parametric Analysis of Inter-Farm Wake Interactions in Offshore Wind Farm Projects Along the US East Coast — Rafael Valotta Rodrigues, Ana Moura · Journal of Physics Conference Series (2025) | TGRS Research Map | TGRS