{"title":"The future of offshore wind power production: wake and climate impacts","authors":"Simon C Warder, Matthew D Piggott","doi":"arxiv-2408.14963","DOIUrl":null,"url":null,"abstract":"Rapid deployment of offshore wind is expected within the coming decades to\nhelp meet climate goals. With offshore wind turbine lifetimes of 25-30 years,\nand new offshore leases spanning 60 years, it is vital to consider long-term\nchanges in potential wind power resource at the farm planning stage. Such\nchanges may arise from multiple sources, including climate change, and\nincreasing wake-induced power losses. In this work, we investigate and compare\nthese two sources of long-term change in wind power, for a case study\nconsisting of 21 wind farms within the German Bight. Consistent with previous\nstudies, we find a small but significant reduction in wind resource due to\nclimate change by the end of the 21st century under the high-emission RCP8.5\nscenario, compared with a historical period, with a mean power reduction (over\nan ensemble of seven climate models) of 2.1%. To assess the impact of\nwake-induced losses due to increasingly dense farm build-out, we model wakes\nwithin the German Bight region using an engineering wake model, under various\nstages of (planned) build-out corresponding to the years 2010-2027. By\nidentifying clusters of wind farms, we decompose wake effects into long-range\n(inter-cluster), medium-range (intra-cluster) and short-range (intra-farm)\neffects. Inter-cluster wake-induced losses increase from 0 for the 2010\nscenario to 2.5% for the 2027 scenario, with intra-cluster losses also\nincreasing from 0 to 4.3%. Intra-farm losses are relatively constant, at around\n13%. While the evolution of wake effects therefore outweighs the climate\neffect, and impacts over a shorter timescale, both factors are significant. We\nalso find evidence of non-linear interactions between the climate and wake\neffects. Both climate change and evolving wake effects must therefore be\nconsidered within resource assessment and wind farm planning.","PeriodicalId":501166,"journal":{"name":"arXiv - PHYS - Atmospheric and Oceanic Physics","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Atmospheric and Oceanic Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.14963","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Rapid deployment of offshore wind is expected within the coming decades to
help meet climate goals. With offshore wind turbine lifetimes of 25-30 years,
and new offshore leases spanning 60 years, it is vital to consider long-term
changes in potential wind power resource at the farm planning stage. Such
changes may arise from multiple sources, including climate change, and
increasing wake-induced power losses. In this work, we investigate and compare
these two sources of long-term change in wind power, for a case study
consisting of 21 wind farms within the German Bight. Consistent with previous
studies, we find a small but significant reduction in wind resource due to
climate change by the end of the 21st century under the high-emission RCP8.5
scenario, compared with a historical period, with a mean power reduction (over
an ensemble of seven climate models) of 2.1%. To assess the impact of
wake-induced losses due to increasingly dense farm build-out, we model wakes
within the German Bight region using an engineering wake model, under various
stages of (planned) build-out corresponding to the years 2010-2027. By
identifying clusters of wind farms, we decompose wake effects into long-range
(inter-cluster), medium-range (intra-cluster) and short-range (intra-farm)
effects. Inter-cluster wake-induced losses increase from 0 for the 2010
scenario to 2.5% for the 2027 scenario, with intra-cluster losses also
increasing from 0 to 4.3%. Intra-farm losses are relatively constant, at around
13%. While the evolution of wake effects therefore outweighs the climate
effect, and impacts over a shorter timescale, both factors are significant. We
also find evidence of non-linear interactions between the climate and wake
effects. Both climate change and evolving wake effects must therefore be
considered within resource assessment and wind farm planning.