POSTER with EDF Renouvelables
Forests have a strong influence on wind flow, making it difficult to achieve high accuracy in wind speed simulations. To overcome this problem, we've worked with EDF Renouvelables and developed a new methodology that reduces the mean wind speed error by up to 4.4%. You can download the poster presenting our methodology and the results of this study using the form below.
Abstract
More and more wind farms are developed in highly forested areas, due to favorable contexts (less restrictions and social opposition) and of course a lack of space. Because of the strong influence of forests on wind flow, wind farm developers are facing new challenges to obtain high accuracy on wind speed simulations.
In this work, we present a new methodology that improves the simulation accuracy in forested areas based on forest model calibration. This approach, easily applicable, only requires wind profile measurements to determine the specific forest properties and calibrate the CFO forest model accordingly.
More and more wind farms are developed in highly forested areas, due to favorable contexts (less restrictions and social opposition) and of course a lack of space. Because of the strong influence of forests on wind flow, wind farm developers are facing new challenges to obtain high accuracy on wind speed simulations.
In this work, we present a new methodology that improves the simulation accuracy in forested areas based on forest model calibration. This approach, easily applicable, only requires wind profile measurements to determine the specific forest properties and calibrate the CFO forest model accordingly.
