Izenburua
Evolution of the European offshore renewable energy resource under multiple climate change scenarios and forecasting horizons via CMIP6Egilea (beste erakunde batekoa)
Beste instituzio
University College CorkIkerbasque
University of Plymouth
Bertsioa
Bertsio argitaratua
Eskubideak
© 2024 The AuthorsSarbidea
Sarbide irekiaArgitaratzailearen bertsioa
https://doi.org/10.1016/j.enconman.2023.118058Non argitaratua
Energy Conversion and Management Vol. 301. N. art. 118058, 2024Argitaratzailea
ElsevierGako-hitzak
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 [-]
Laburpena
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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