↓ Skip to main content

Balancing Europe’s wind-power output through spatial deployment informed by weather regimes

Overview of attention for article published in Nature Climate Change, July 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
11 news outlets
blogs
5 blogs
policy
3 policy sources
twitter
40 tweeters
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
218 Dimensions

Readers on

mendeley
272 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Balancing Europe’s wind-power output through spatial deployment informed by weather regimes
Published in
Nature Climate Change, July 2017
DOI 10.1038/nclimate3338
Pubmed ID
Authors

Christian M. Grams, Remo Beerli, Stefan Pfenninger, Iain Staffell, Heini Wernli

Abstract

As wind and solar power provide a growing share of Europe's electricity1, understanding and accommodating their variability on multiple timescales remains a critical problem. On weekly timescales, variability is related to long-lasting weather conditions, called weather regimes2-5, which can cause lulls with a loss of wind power across neighbouring countries6. Here we show that weather regimes provide a meteorological explanation for multi-day fluctuations in Europe's wind power and can help guide new deployment pathways which minimise this variability. Mean generation during different regimes currently ranges from 22 GW to 44 GW and is expected to triple by 2030 with current planning strategies. However, balancing future wind capacity across regions with contrasting inter-regime behaviour - specifically deploying in the Balkans instead of the North Sea - would almost eliminate these output variations, maintain mean generation, and increase fleet-wide minimum output. Solar photovoltaics could balance low-wind regimes locally, but only by expanding current capacity tenfold. New deployment strategies based on an understanding of continent-scale wind patterns and pan-European collaboration could enable a high share of wind energy whilst minimising the negative impacts of output variability.

Twitter Demographics

The data shown below were collected from the profiles of 40 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 272 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 23%
Researcher 54 20%
Student > Master 25 9%
Student > Doctoral Student 17 6%
Student > Bachelor 9 3%
Other 38 14%
Unknown 67 25%
Readers by discipline Count As %
Earth and Planetary Sciences 51 19%
Engineering 26 10%
Energy 25 9%
Environmental Science 23 8%
Physics and Astronomy 10 4%
Other 43 16%
Unknown 94 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 161. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 May 2023.
All research outputs
#222,789
of 23,485,204 outputs
Outputs from Nature Climate Change
#709
of 3,934 outputs
Outputs of similar age
#4,894
of 284,399 outputs
Outputs of similar age from Nature Climate Change
#19
of 56 outputs
Altmetric has tracked 23,485,204 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 127.1. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 284,399 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.