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DOI | 10.1088/1748-9326/ab70bd |
Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology | |
Pickering B.; Grams C.M.; Pfenninger S. | |
发表日期 | 2020 |
ISSN | 17489318 |
卷号 | 15期号:4 |
英文摘要 | The future European electricity system will depend heavily on variable renewable generation, including wind power. To plan and operate reliable electricity supply systems, an understanding of wind power variability over a range of spatio-temporal scales is critical. In complex terrain, such as that found in mountainous Switzerland, wind speeds are influenced by a multitude of meteorological phenomena, many of which occur on scales too fine to capture with commonly used meteorological reanalysis datasets. Past work has shown that anticorrelation at a continental scale is an important way to help balance variable generation. Here, we investigate systematically for the first time the possibility of balancing wind variability by exploiting anticorrelation between weather patterns in complex terrain. We assess the capability for the Consortium for Small-scale Modeling (COSMO)-REA2 and COSMO-REA6 reanalyses (with a 2 and 6 km horizontal resolution, respectively) to reproduce historical measured data from weather stations, hub height anemometers, and wind turbine electricity generation across Switzerland. Both reanalyses are insufficient to reproduce site-specific wind speeds in Switzerland's complex terrain. We find however that mountain-valley breezes, orographic channelling, and variability imposed by European-scale weather regimes are represented by COSMO-REA2. We discover multi-day periods of wind electricity generation in regions of Switzerland which are anticorrelated with neighbouring European countries. Our results suggest that significantly more work is needed to understand the impact of fine scale wind power variability on national and continental electricity systems, and that higher-resolution reanalyses are necessary to accurately understand the local variability of renewable generation in complex terrain. © 2020 The Author(s). Published by IOP Publishing Ltd. |
英文关键词 | European weather regimes; Regional meteorological reanalysis; Switzerland; Wind electricity generation |
语种 | 英语 |
scopus关键词 | Electric power generation; Landforms; Wind; Wind power; Electricity generation; Horizontal resolution; Meteorological phenomena; Spatio-temporal scale; Variability of wind power; Variable generations; Wind electricity generation; Wind power variabilities; Electric power system planning; alternative energy; complex terrain; complexity; correlation; data set; electricity generation; mountain region; spatiotemporal analysis; weather station; wind power; wind turbine; wind velocity; Switzerland |
来源期刊 | Environmental Research Letters
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/154076 |
作者单位 | Climate Policy Group, Institute for Environmental Decisions, Zürich, Switzerland; Institute of Meteorology and Climate Research (IMK-TRO), Department Troposphere Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany |
推荐引用方式 GB/T 7714 | Pickering B.,Grams C.M.,Pfenninger S.. Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology[J],2020,15(4). |
APA | Pickering B.,Grams C.M.,&Pfenninger S..(2020).Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology.Environmental Research Letters,15(4). |
MLA | Pickering B.,et al."Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology".Environmental Research Letters 15.4(2020). |
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