考虑欧洲大西洋阵列内尾流效应,确定最小化平准化能源成本的浮式海上风电场设计

IF 9 1区 工程技术 Q1 ENERGY & FUELS
B. Thomas, X. Costoya, M. deCastro, M. Gómez-Gesteira
{"title":"考虑欧洲大西洋阵列内尾流效应,确定最小化平准化能源成本的浮式海上风电场设计","authors":"B. Thomas,&nbsp;X. Costoya,&nbsp;M. deCastro,&nbsp;M. Gómez-Gesteira","doi":"10.1016/j.renene.2025.123730","DOIUrl":null,"url":null,"abstract":"<div><div>As global energy demands rise, floating offshore wind farms are expanding in turbine rated power and number, amplifying electricity production losses due to inter-turbine wake effects and leading to higher Levelized Cost of Energy. Therefore, accurately estimating this metric across various farm configurations is essential to pinpoint affordable solutions and locations. Such analysis is conducted in Atlantic Europe using high-resolution wind data from a Coupled Model Intercomparison Project Phase 6 multi-model ensemble, dynamically downscaled to 10-km horizontal resolution using the Weather Research and Forecasting model, and assessed under the Shared Socioeconomic Pathway 2–4.5 for the near future (2030–2059). Electricity production losses from wake effect were estimated using the Frandsen model with wind direction discretized in 8 bins, yielding results similar to more sophisticated but computationally expensive methods. The lowest Levelized Cost of Energy are identified around the United Kingdom and Ireland (∼100 €/MWh), northwestern Spain and French Brittany (110–120 €/MWh). These regions support installed capacity between 400 and 600 MW per square 100 km<sup>2</sup> areas, with potential for a 50 % capacity increase if accepting a maximum 3 % rise in cost. Optimal solutions involve 15 MW wind turbines and semi-submersible concrete platforms, utilizing wind farm layouts covering the entire allocated area.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123730"},"PeriodicalIF":9.0000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identifying floating offshore wind farm designs which minimize Levelized Cost of Energy considering intra-array wake effect in Atlantic Europe\",\"authors\":\"B. Thomas,&nbsp;X. Costoya,&nbsp;M. deCastro,&nbsp;M. Gómez-Gesteira\",\"doi\":\"10.1016/j.renene.2025.123730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>As global energy demands rise, floating offshore wind farms are expanding in turbine rated power and number, amplifying electricity production losses due to inter-turbine wake effects and leading to higher Levelized Cost of Energy. Therefore, accurately estimating this metric across various farm configurations is essential to pinpoint affordable solutions and locations. Such analysis is conducted in Atlantic Europe using high-resolution wind data from a Coupled Model Intercomparison Project Phase 6 multi-model ensemble, dynamically downscaled to 10-km horizontal resolution using the Weather Research and Forecasting model, and assessed under the Shared Socioeconomic Pathway 2–4.5 for the near future (2030–2059). Electricity production losses from wake effect were estimated using the Frandsen model with wind direction discretized in 8 bins, yielding results similar to more sophisticated but computationally expensive methods. The lowest Levelized Cost of Energy are identified around the United Kingdom and Ireland (∼100 €/MWh), northwestern Spain and French Brittany (110–120 €/MWh). These regions support installed capacity between 400 and 600 MW per square 100 km<sup>2</sup> areas, with potential for a 50 % capacity increase if accepting a maximum 3 % rise in cost. Optimal solutions involve 15 MW wind turbines and semi-submersible concrete platforms, utilizing wind farm layouts covering the entire allocated area.</div></div>\",\"PeriodicalId\":419,\"journal\":{\"name\":\"Renewable Energy\",\"volume\":\"254 \",\"pages\":\"Article 123730\"},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Renewable Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0960148125013928\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renewable Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960148125013928","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

随着全球能源需求的增长,浮动式海上风电场的额定功率和数量不断增加,由于涡轮间尾流效应,电力生产损失扩大,导致更高的平化能源成本。因此,准确估算各种农场配置的这一指标对于确定经济实惠的解决方案和地点至关重要。这种分析是在欧洲大西洋地区进行的,使用来自耦合模式比对项目第6阶段多模式集成的高分辨率风数据,使用天气研究和预报模式动态缩小到10公里水平分辨率,并在共享社会经济路径2-4.5下对近期(2030-2059)进行评估。使用Frandsen模型,将风向离散到8个箱中,估计尾流效应造成的电力生产损失,结果与更复杂但计算成本较高的方法相似。能源平准化成本最低的地区包括英国和爱尔兰(约100欧元/兆瓦时)、西班牙西北部和法属布列塔尼(110-120欧元/兆瓦时)。这些地区的装机容量为每平方100平方公里400至600兆瓦,如果接受最高3%的成本上涨,则有可能增加50%的容量。最佳解决方案包括15兆瓦的风力涡轮机和半潜式混凝土平台,利用覆盖整个分配区域的风电场布局。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying floating offshore wind farm designs which minimize Levelized Cost of Energy considering intra-array wake effect in Atlantic Europe
As global energy demands rise, floating offshore wind farms are expanding in turbine rated power and number, amplifying electricity production losses due to inter-turbine wake effects and leading to higher Levelized Cost of Energy. Therefore, accurately estimating this metric across various farm configurations is essential to pinpoint affordable solutions and locations. Such analysis is conducted in Atlantic Europe using high-resolution wind data from a Coupled Model Intercomparison Project Phase 6 multi-model ensemble, dynamically downscaled to 10-km horizontal resolution using the Weather Research and Forecasting model, and assessed under the Shared Socioeconomic Pathway 2–4.5 for the near future (2030–2059). Electricity production losses from wake effect were estimated using the Frandsen model with wind direction discretized in 8 bins, yielding results similar to more sophisticated but computationally expensive methods. The lowest Levelized Cost of Energy are identified around the United Kingdom and Ireland (∼100 €/MWh), northwestern Spain and French Brittany (110–120 €/MWh). These regions support installed capacity between 400 and 600 MW per square 100 km2 areas, with potential for a 50 % capacity increase if accepting a maximum 3 % rise in cost. Optimal solutions involve 15 MW wind turbines and semi-submersible concrete platforms, utilizing wind farm layouts covering the entire allocated area.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Renewable Energy
Renewable Energy 工程技术-能源与燃料
CiteScore
18.40
自引率
9.20%
发文量
1955
审稿时长
6.6 months
期刊介绍: Renewable Energy journal is dedicated to advancing knowledge and disseminating insights on various topics and technologies within renewable energy systems and components. Our mission is to support researchers, engineers, economists, manufacturers, NGOs, associations, and societies in staying updated on new developments in their respective fields and applying alternative energy solutions to current practices. As an international, multidisciplinary journal in renewable energy engineering and research, we strive to be a premier peer-reviewed platform and a trusted source of original research and reviews in the field of renewable energy. Join us in our endeavor to drive innovation and progress in sustainable energy solutions.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信