Optimisation of Deep Water Offshore Wind Systems
Optimisation of Deep Water Offshore Wind Systems
批准号:
2103598
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The conflict between increasing energy demand and clean energy generation is one of the challenges we face today. This PhD research project aims to address the challenge of optimisation and resilience for Offshore Renewable Energy (ORE). ORE is recognised as a good investment, but current plans for building new ORE infrastructure is held back due to the uncertainties involved with designing offshore wind turbines (OWT) in deeper waters and with foundations in un-investigated subsea ground. Floating offshore wind turbines (FOWTs) are a solution to the increasing costs and foundation issues within deeper water. They also have a greater energy potential, more installation space available and they generally have less restrictions than onshore wind turbines, such as visual constraints and noise impacts.The proposed research aims to develop an integrated design methodology for FOWTs that yields more resilient and robust designs. The detailed environmental load assessment combined with advanced coupled computational modelling will provide an understanding of the complex aero-hydro-elastic coupled response enabling the optimisation of future schemes. Furthermore, the effects of internal waves will be investigated to predict the impact on the stability of the FOWTs.The aims of this project therefore are firstly to develop more resilient and robust designs for deep water offshore wind systems by assessing the loads on the platforms, such as the impacts of moorings, wind, surface and internal waves, using advanced coupled computational modelling. Secondly, individual FOWTs and arrays will be optimised to accelerate the installation of large-scale FOW farms by using appropriate CFD software to simulate FOWTs and developing a MATLAB code to optimise the power output of FOWTs. And the third aims is to find a real world solution to create significantly more efficient OREs by attaching wave energy converters (WECs) to the floating platforms of FOWTs.The initial steps will involve the investigation of the loads on FOWTs, especially the internal waves, and finding an appropriate CFD software to analyse data from laboratory results provided by research partners.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
登录
查看更多内容
Deep Seek引导下预防肝硬化腹水患者发生腹腔感染的约翰霍普金斯循证实践模型下中医护理策略的构建研究
-
批准号:2026JJ81909
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:胡曦
-
依托单位:
基于Deep Unrolling的高分辨近红外二区荧光分子断层成像方法研究
-
批准号:12271434
-
项目类别:面上项目
-
资助金额:46万元
-
批准年份:2022
-
负责人:贺小伟
-
依托单位:
基于深度森林(Deep Forest)模型的表面增强拉曼光谱分析方法研究
-
批准号:2020A151501709
-
项目类别:省市级项目
-
资助金额:10.0万元
-
批准年份:2020
-
负责人:谢怡
-
依托单位:
面向Deep Web的数据整合关键技术研究
-
批准号:61872168
-
项目类别:面上项目
-
资助金额:62.0万元
-
批准年份:2018
-
负责人:董永权
-
依托单位:
基于Deep-learning的三江源区冰川监测动态识别技术研究
-
批准号:51769027
-
项目类别:地区科学基金项目
-
资助金额:38.0万元
-
批准年份:2017
-
负责人:张大奇
-
依托单位:
具有时序处理能力的Spiking-Deep Learning(脉冲深度学习)方法研究
-
批准号:61573081
-
项目类别:面上项目
-
资助金额:64.0万元
-
批准年份:2015
-
负责人:屈鸿
-
依托单位:
基于语义计算的海量Deep Web知识探索机制研究
-
批准号:61272411
-
项目类别:面上项目
-
资助金额:80.0万元
-
批准年份:2012
-
负责人:赵峰
-
依托单位:
Deep Web数据集成查询结果抽取与整合关键技术研究
-
批准号:61100167
-
项目类别:青年科学基金项目
-
资助金额:20.0万元
-
批准年份:2011
-
负责人:董永权
-
依托单位:
面向Deep Web的大规模知识库自动构建方法研究
-
批准号:61170020
-
项目类别:面上项目
-
资助金额:57.0万元
-
批准年份:2011
-
负责人:崔志明
-
依托单位:
Deep Web敏感聚合信息保护方法研究
-
批准号:61003054
-
项目类别:青年科学基金项目
-
资助金额:20.0万元
-
批准年份:2010
-
负责人:赵朋朋
-
依托单位: