Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!
PO210: Wake model validation and calibration based on 10-minute average SCADA data - considering atmospheric stability
Ottelien Bossuyt, Project Manager - Onshore Renewables, Tractebel
Abstract
Preconstruction energy yield assessments (EYA) are directly influencing the financing of wind farm (WF) projects. During operation of a WF, it is essential to estimate the impact on energy production due to newly constructed wind turbines (WT). Nowadays, it becomes also necessary to estimate the hourly production profiles due to more self-consumption of wind energy and energy-optimization. One of the main challenges in EYA is modelling of interactions between WT, leading to an uncertainty on wake losses on the order of 20-40%. Reducing this uncertainty by analyzing SCADA data will largely improve the accuracy of EYA and project financing. In Belgium, WFs consist of few WTs surrounded by multiple other small projects, resulting in complex layouts. Often no wind measurement campaign has been performed in the direct vicinity of the project. Therefore, this work is based on a methodology developed for Belgium, combining the EMD-WRF Europe+ mesoscale dataset with SCADA data from operating wind farms. The main objective of the study is to calibrate different wake models by using 10-min average SCADA data from existing WFs and validate the model on others. Six WF with at least a row of three wind turbines in the dominant wind direction are analyzed. The evolution of SCADA production data of each turbine along the row can be compared to the production calculations based on various wake models and parameters. Atmospheric stability plays an important role in wake recovery: wakes recover faster under unstable conditions (typically summer days) than under more stable conditions (typically winter nights). Therefore, it is important to assess the influence due to seasonal/diurnal effects when calibrating the model parameters. The study shows that if a condition-dependent wake decay coefficient (WDC) is used, the production error per period can be reduced by 1-2%, resulting in a better hourly profile estimate.
