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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 industry and the academic community.
PO139: A global confidence boost – multi-continental demonstration of offshore energy yield prediction accuracy
Marie-Anne Cowan, Offshore Wind Assessment Competency Group Lead, Ramboll
Abstract
Energy yield prediction accuracy is critical for all wind projects, but for emerging markets where uncertainties are numerous and large, proven accuracy is pivotal. However, proving accuracy requires a significant body of operational wind farm data. Since this data is lacking in emerging markets, accuracy cannot be demonstrated, which increases uncertainty and constrains growth in new geographies. Developers of projects in all currently emerging offshore wind markets should take note of this study as it confidently demonstrates that the applied wind energy yield assessment approach, which is well validated in Northern Europe, also provides accurate results elsewhere in the world. This study expands the world’s most extensive project-level validation to date. The dataset already contained data from over 15GW of operational projects in Europe and has been further enlarged to include data from a significant proportion of the operational fleet in Taiwan – a newly emergent offshore market. The energy yield prediction approach used, and accuracy provided, is consistent across the considered regions which provides even greater confidence in the approach taken. Taiwan is an offshore wind market with superb wind resource and significant ambitions for development, driven by a high-level of dependence on imported energy. The market has slowed recently due to the withdrawal of several international developers, and so restoring confidence, with the demonstration of energy yield prediction accuracy shown here, will be very welcome to help re-accelerate growth. Meteorologically, Taiwan differs significantly from Europe. A highly uni -directional wind rose, bi-modal frequency distributions, highly unstable atmospheric conditions and a typhoon season characterised by extreme wind speeds and calms all add complexity to the wind climate. These factors stand out as being likely to impact wake modelling, and energy yield prediction accuracy in general. So, the fact that accuracy is maintained for Taiwan is a great source of confidence.
No recording available for this poster.
