Título
Evolution of the European offshore renewable energy resource under multiple climate change scenarios and forecasting horizons via CMIP6Autor-a (de otra institución)
Otras instituciones
University College CorkIkerbasque
University of Plymouth
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© 2024 The AuthorsAcceso
Acceso abiertoVersión del editor
https://doi.org/10.1016/j.enconman.2023.118058Publicado en
Energy Conversion and Management Vol. 301. N. art. 118058, 2024Editor
ElsevierPalabras clave
Offshore renewable energy resource
Climate change
Shared socioeconomic pathways
CMIP6 ... [+]
Climate change
Shared socioeconomic pathways
CMIP6 ... [+]
Offshore renewable energy resource
Climate change
Shared socioeconomic pathways
CMIP6
Global and local scales
Statistical analysis [-]
Climate change
Shared socioeconomic pathways
CMIP6
Global and local scales
Statistical analysis [-]
Resumen
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. ... [+]
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. [-]
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