4.7 Article

Quantifying the sensitivity of european power systems to energy scenarios and climate change projections

期刊

RENEWABLE ENERGY
卷 164, 期 -, 页码 1062-1075

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2020.09.125

关键词

Demand; Wind power; Solar PV; Climate change; Uncertainty; Scenarios

资金

  1. Copernicus Climate Change Service (C3S) on behalf of the European Commission [2015/C3S_441_Lot2_UEA]
  2. PRIMAVERA project - European Union's Horizon 2020 programme [641727]

向作者/读者索取更多资源

Climate change will have a significant impact on future European power systems, especially in the energy balance after 2030. Under different power system scenarios, national power systems may be significantly affected by climate change, particularly in terms of seasonal variations in renewable resources.
Climate simulations consistently show an increase in European near-surface air temperature by the late 21st century, although projections for near-surface wind speeds and irradiance differ between models, and are accompanied by large natural variability. These factors make it difficult to estimate the effects of physical climate change on power system planning. Here, the impact of climate change on future European power systems is estimated. We show for the first time how a set of divergent future power system scenarios lead to marked differences in Europe's total energy balance (demand-net-renewable supply) by 2050, which dominate over the uncertainty associated with climate change (similar to 50% and similar to 5% respectively). However, within any given power system scenario, national power systems may be subject to considerable impacts from climate change, particularly for seasonal differences between renewable resources (e.g., wind power may be impacted by similar to 20% or more). There is little agreement between climate models in terms of the spatiotemporal pattern of these impacts, and even in the direction of change for wind and solar. More thorough consideration of climate uncertainty is therefore needed, as it is likely to be of great importance for robust future power system planning and design. (c) 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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