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. 2022 Oct 31;9:664. doi: 10.1038/s41597-022-01786-5

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — Capacity factor of MSRs as compared to their distance from the transmission grid. The left axis shows the average distance from the transmission grid across all MSRs in a country; the right axis shows the average capacity factor. Averages are weighted by MSR area. Solar PV and wind MSRs differ in (a) the spatial divergence of CFs (larger for wind than solar PV) and in (b) the distance-from-grid of the cheapest MSRs (higher for wind than solar PV). Country abbreviations denote alpha-2 codes; see Supplementary Table 4 for the list of full names. Countries are ranked vertically according to the alphabetical order of these full names. Note that some countries do not have any viable wind power potential according to the present methodology, hence bars for wind power are omitted for those countries in this graph.