2026-04-20T23:38:09Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/61762026-03-17T08:58:34Zcom_20.500.11984_473col_20.500.11984_478

Evolution of the European offshore renewable energy resource under multiple climate change scenarios and forecasting horizons via CMIP6 Barkanov, Egor Penalba, Markel Martinez, Abel Martinez Perurena, Ander Zarketa-Astigarraga, Ander Iglesias, Gregorio Offshore renewable energy resource Climate change Shared socioeconomic pathways CMIP6 Global and local scales Statistical analysis The design of the different offshore renewable energy (ORE) technologies depends on the characteristics of wind/wave resources. However, these characteristics are not stationary under climate change. In this study the evolution of European offshore wave/wind resources is assessed under mid- and high-emissions scenarios based on the Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5) and three forecasting horizons including the near (2023–2032), mid (2041–2050) and long term (2091–2100). The novelties lie in: (i) the concurrent analysis of wind and wave resources, (ii) the use of data with a 3-hour temporal resolution, and (iii) the local-scale statistical analysis. Results show significant variations along the 21st century, with an overall decline in average wind and wave conditions. Importantly, and somewhat counter-intuitively, much of the Atlantic coast of continental Europe experiences increasing extremes in the high-emissions scenario. For the local-scale statistical analysis, the focus is on five wind farm sites, commissioned or in planning. In the high-emissions scenario, the 99th and 99.99th percentiles decrease in three of them and increase in the other two. The combination of decreasing averages and increasing extremes presents the worst-case scenario for ORE technology developers. 2024-02-02T08:52:56Z 2024-02-02T08:52:56Z 2024 http://purl.org/coar/resource_type/c_6501 0196-8904 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=174466 https://hdl.handle.net/20.500.11984/6176 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ © 2024 The Authors Elsevier