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 provide an opportunity for delegates 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!
PO176: Lowering uncertainty on EYA using mesoscale models combined with 10 minutes average SCADA data
Henry Van Vyve, Project Engineer Onshore Wind, Tractebel
Abstract
In some regions such as Belgium or France, given past project development and numerous constraints the development of new projects is often constrained in size, with projects of 10 wind turbines (WT) or less being the norm. These projects still require energy yield assessments (EYA) based on a full year of wind measurements from a met mast (or a LiDAR/SoDAR). Given the competition between wind developers and the limited success rate of permit applications, developers explore ways to optimize their budget. However, budget cuts for a wind measurement campaign are likely to lead to additional uncertainty, with an overall negative impact on project financials. In the present work we propose to show that the use of mesoscale data combined with data from operating wind farms can be used to predict energy yield with similar or higher levels of certainty than predictions based on measurement campaigns. This work is based on a methodology developed for Belgium, combining the EMD-WRF Europe+ mesoscale dataset with 10 minutes average SCADA data from operating wind farms in Belgium which is used for EYA associated with a low uncertainty. The central objective of this methodology is to generate a regional wind climate at the target hub height of the future wind farm. We start from mesoscale data from the EMD-WRF Europe+ model (mesoscale model developed by EMD using the Weather Research and forecasting (WRF) model and based on the ERA-5 global reanalysis data set). Mesoscale models are known to provide reasonably accurate descriptions of wind direction and of variations in wind speed over time. These data sets are however not precise enough for EYA when it comes to absolute values of wind speed.
Follow the event on: