Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology

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...

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Main Authors: Bryn Pickering, Christian M Grams, Stefan Pfenninger
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/ab70bd
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author Bryn Pickering
Christian M Grams
Stefan Pfenninger
author_facet Bryn Pickering
Christian M Grams
Stefan Pfenninger
author_sort Bryn Pickering
collection DOAJ
description 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.
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spelling doaj.art-6bcdae243cb642a39ae2a2af7f2ef54f2023-08-09T15:05:07ZengIOP PublishingEnvironmental Research Letters1748-93262020-01-0115404402510.1088/1748-9326/ab70bdSub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorologyBryn Pickering0https://orcid.org/0000-0003-4044-6587Christian M Grams1https://orcid.org/0000-0003-3466-9389Stefan Pfenninger2https://orcid.org/0000-0002-8420-9498Climate Policy Group, Institute for Environmental Decisions , ETH Zürich, Zürich, SwitzerlandInstitute of Meteorology and Climate Research (IMK-TRO), Department Troposphere Research , Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyClimate Policy Group, Institute for Environmental Decisions , ETH Zürich, Zürich, SwitzerlandThe 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.https://doi.org/10.1088/1748-9326/ab70bdwind electricity generationEuropean weather regimesregional meteorological reanalysisSwitzerland
spellingShingle Bryn Pickering
Christian M Grams
Stefan Pfenninger
Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology
Environmental Research Letters
wind electricity generation
European weather regimes
regional meteorological reanalysis
Switzerland
title Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology
title_full Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology
title_fullStr Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology
title_full_unstemmed Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology
title_short Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology
title_sort sub national variability of wind power generation in complex terrain and its correlation with large scale meteorology
topic wind electricity generation
European weather regimes
regional meteorological reanalysis
Switzerland
url https://doi.org/10.1088/1748-9326/ab70bd
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AT christianmgrams subnationalvariabilityofwindpowergenerationincomplexterrainanditscorrelationwithlargescalemeteorology
AT stefanpfenninger subnationalvariabilityofwindpowergenerationincomplexterrainanditscorrelationwithlargescalemeteorology