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 industry and the academic community.
PO394: A Climate-Based Emulator for addressing mid-term changes (2041-2060) in Met-Ocean Parameters
Fernando Mendez, Professor of Civil Engineering, Universidad de Cantabria
Abstract
As the operational lifetime of an offshore wind farm is expected to be approximately 30 years, the design of this infrastructure requires a detailed knowledge about the historical conditions of wind and wave climate as well as the prediction/forecast/projection until year 2055. The multivariate wind and wave climate is usually obtained by means of a dynamic downscaling of very large computations using a suite of atmospheric and oceanographic numerical models, for obtaining long-term time and spatial time series, including the historical period (e.g. 1980-2024) as well as plausible future climates under different scenarios of GHG emissions. In order to provide a reliable and efficient framework for drastically simplifying the computational effort, emulators based on weather types have emerged as a valuable tool for analyzing historical climate variability and future projections to optimize the design and operation of offshore wind turbines, maximize energy production, and minimize maintenance costs. Climate-based emulators are statistical models that can emulate met-ocean parameters by identifying their relationship with a set of atmospheric patterns, weather types (WTs) or circulation patterns representing distinct large-scale patterns of atmospheric pressure. The use of weather types allows for analyzing the historical climate variability of the wind-wave coupling and provides insights into the spatial and temporal variability in the region. The impacts of climate change can be studied by analysing trends in the probability of occurrence of WTs, at a fraction of the computational cost of running wind-wave coupled models.
No recording available for this poster.
