2026-10-11T19:12:45Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34035123 2026-09-30T17:31:14Z category_21 category_24 category_272 category_502 category_734 category_811 category_106 category_132 portal_5 item_type_1 month_year_09_2026

<p>Quantitative distribution of hub-height (150 m) wind speed deficits induced by internal/external wakes in the Shinan cluster under different scenarios.</p> Geonhwa Ryu (25145223) Dohee Lee (432106) Jungho Kim (577190) Suji Han (25145226) Jun Yong Lee (25145229) Young-Gon Kim (1976848) Chae-Joo Moon (25145232) Biotechnology Evolutionary Biology Environmental Sciences not elsewhere classified Astronomical and Space Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Science Policy Infectious Diseases offshore wind clusters mitigate revenue loss led site development external wake interactions country moves forward annual energy production external wake effects approximately krw 15 farm spacing within farm spacing guidelines farm spacing distances korea &# 8217 5 rec scenario 3 %, respectively 5 km ). korea </ p quantitative effects krw 13 spacing case 3 km 1 km xlink "> study investigates spatial clustering southwest sea shinan cluster sensitivity analysis results indicate modelled adjacent case study 100 %) <p>All scenarios assume 100% operational ratio of the cluster, with inter-farm spacing varied across the following cases: (a) Case 3 − 0 km, (b) Case 6 − 1 km, (c) Case 9 − 3 km, and (d) Case 12 − 5 km. Coordinate system: EPSG 5181, WGS 84 / Pseudo-Mercator.</p> 2026-09-30T17:31:07Z Image Figure 10.1371/journal.pone.0341955.g005 https://figshare.com/articles/figure/_p_Quantitative_distribution_of_hub-height_150_m_wind_speed_deficits_induced_by_internal_external_wakes_in_the_Shinan_cluster_under_different_scenarios_p_/34035123 CC BY 4.0