4.7 Article

Validating EURO-CORDEX climate simulations for modelling European wind power generation

期刊

RENEWABLE ENERGY
卷 217, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2023.118989

关键词

Wind power generation; Intermittency; Climate change; EURO-CORDEX

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As the energy system becomes more reliant on intermittent meteorological sources, it is important to understand the potential impacts of climate change on weather variability and its effect on wind power generation. This study validates the wind speed output of seven regional climate models from the EURO-CORDEX project using European country-level wind generation data and relevant metrics for power and energy system applications. The results show that the EURO-CORDEX models adjusted with the Global Wind Atlas can accurately simulate temporal dependencies and generation distributions, though spatial correlations are overestimated compared to observations by most models. Assuming the GWA2 scaling is valid for the future, the projections indicate a slight decrease in capacity factors for most European countries under the RCP8.5 scenario from 2026 to 2065.
As the energy system becomes increasingly dependent on intermittent meteorological sources, there is a need to understand better the possible consequences of a changing climate on weather variability and how it will affect wind power generation in the future. Most previous validation studies of regional climate datasets focus on the distributional properties or, in fewer cases, the variability at lower frequencies, such as interannual and seasonal. However, accurate wind variability at a high-enough resolution (e.g., hourly) is crucial for many aspects of power and energy system analyses. Using European country-level wind generation data and metrics relevant to power and energy system applications, we validate the wind speed output from seven regional climate models from the EURO-CORDEX project. We show that the EURO-CORDEX models adjusted with the Global Wind Atlas (GWA2) can simulate temporal dependencies and generation distributions with accuracy similar to or better than the ERA5 reanalysis. The spatial correlations, however, are overestimated compared to observations by most analysed models. Assuming the GWA2 scaling is also valid for the future, the projections under the RCP8.5 scenario show a slight negative trend (2026-2065) in capacity factors for most analysed European countries.

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