Presentation Description: Modeling wake losses in wind farms presents a challenging task due to the site-specific nature of the conditions, which include factors such as terrain complexity, roughness, strategic placement of meteorological masts, and measurement duration. The industry has developed several wake models, each with its own characteristics and suitability for particular scenarios involving terrain complexity, wind turbine quantities, and wind farm layouts, particularly those with multiple rows. This study aims to perform a benchmarking analysis of eight wake models using operational data from four wind farms located in Brazil's northeast region, characterized by multiple rows. In addition to assessing variations in the performance of wake models across different rows, this study reveals that the absence of measurements within a row can result in inaccurate wake loss predictions, even when the nearest meteorological mast is positioned less than 3 kilometers away from the row.
Learning Objectives:
List the challenges of wake losses and which are the key parameters to improve its modeling.
