Resilient Integrated-Coupled FOW platform design methodology (ResIn)
弹性集成耦合 FOW 平台设计方法 (ResIn)
基本信息
- 批准号:EP/R007519/1
- 负责人:
- 金额:$ 103.46万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2017
- 资助国家:英国
- 起止时间:2017 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project will enhance the design and development of floating offshore renewables, in particular offshore floating wind as commercially viable electricity infrastructure through a risk based approach allowing to build resilience against extreme events. The socio-economic challenge is the increasing energy need in emerging economies, such as China, which causes grave air pollution and CO2 emissions. The project work focusses on China, where heavy air pollution alone is estimated to have caused 2.2million premature deaths. Sustainable energy generation, thus replacing coal-fired power plants is one of the solutions to address this problem. In China specifically, the energy demand is at its highest along the industrialised and densely populated coastal regions. The challenge for a renewable energy supply is that the solar, wind and hydro resource are primarily located in the NW and SW of China and electricity transmission via the grid is already constrained. The Chinese government therefore has identified offshore wind energy as one of the primary energy resources with a potential of over 500GW of installed capacity, capable to produce up to 1,500 TWh of electricity per year, which would offset as many as 340 coal-fired power stations. Whilst initial installations in shallow waters near the coast have been made, over 1/3rd of the resource is located in deeper water (>40m) and will require floating installations. Offshore wind energy generation is currently more expensive than fossil fuels in China, and the risk of typhoon damage is high. The project has a fourfold approach: 1.Enhanced environmental modelling to accurately determine extreme loadings; 2. Assessment of novel, porous floating offshore wind structures and active damping mechanisms; 3. Enhanced numerical modelling techniques to efficiently calculate the complex coupled behaviour of floating wind turbines; 4. Risk based optimisation of devised designs and engineering implications. This combined approach is carried through distinguished scientific research expertise and leading industry partners in the field of offshore wind. To maximise the impact and benefits of this research the project places large emphasis on knowledge exchange activities, industry liaison and the establishment of cross-country research capacity to foster the global commercial realisation of offshore floating wind energy. The project is an interdisciplinary, cross-country collaboration with leading research Universities and industry partners. The academic expertise from the University of Exeter, the University of Edinburgh and University of Bath in the areas of Environmental assessment and modelling, Hydrodynamic design, Advanced computational modelling and risk based reliability engineering is matched with Dalian University of Technology and Zhejiang University as two of the leading Chinese research institutions in Ocean Engineering and Offshore Renewable Energy. Whilst the project carries out fundamental engineering research, strong industrial partnerships in both countries will facilitate industry advice and subsequent research uptake. The strong industrial UK support for this project through the ORE Catapult, DNV-GL, ITPE is matched with wider international support through EDF (France) and DSA (Canada), as well as the Chinese project partners MingYang Wind Power Ltd (3rd largest wind manufacturer in China), the National Ocean Technology Centre, NOTC, (institutional responsibility for marine spatial planning) and the 'Shanghai Investigation, Design & Research Institute', SIDRI (State-owned offshore wind project developer in China), demonstrates the timeliness and industrial relevance of the proposed research. All partners are committed to support the establishment of a long-lasting research base to develop resilient and cost effective offshore floating wind energy systems through collaborative research and innovation efforts, as well as capacity building and knowledge exchange.
该项目将通过基于风险的方法加强海上浮动可再生能源的设计和开发,特别是海上浮动风电作为商业上可行的电力基础设施,从而建立对极端事件的抵御能力。社会经济挑战是中国等新兴经济体日益增长的能源需求,这造成了严重的空气污染和二氧化碳排放。该项目的工作重点是中国,据估计,仅严重的空气污染就导致220万人过早死亡。可持续能源生产,从而取代燃煤电厂是解决这一问题的解决方案之一。特别是在中国,能源需求沿着工业化和人口密集的沿海地区最高。可再生能源供应面临的挑战是,太阳能、风能和水力资源主要位于中国的西北部和西南部,通过电网传输的电力已经受到限制。因此,中国政府已将海上风能确定为主要能源之一,其装机容量超过500吉瓦,每年可生产高达1,500太瓦时的电力,这将抵消多达340座燃煤发电站。虽然在靠近海岸的浅沃茨进行了初步安装,但超过1/3的资源位于较深的水域(> 40 m),需要浮动安装。在中国,海上风能发电目前比化石燃料更昂贵,台风破坏的风险也很高。该项目有四个方法:1.增强环境建模以准确确定极端载荷; 2.评估新型多孔浮式海上风力结构和主动阻尼机制; 3.增强的数值建模技术,以有效地计算浮动风力涡轮机的复杂耦合行为; 4.基于风险的设计和工程影响的优化。这种综合方法是通过海上风电领域杰出的科研专业知识和领先的行业合作伙伴来实现的。为了最大限度地发挥这项研究的影响和效益,该项目非常重视知识交流活动,行业联络和建立跨国研究能力,以促进海上浮动风能的全球商业实现。该项目是一个跨学科,跨国合作与领先的研究大学和行业合作伙伴。埃克塞特大学、爱丁堡大学和巴斯大学在环境评估和建模、流体动力学设计、高级计算建模和基于风险的可靠性工程领域的学术专长与大连理工大学和浙江大学这两所中国领先的海洋工程和海上可再生能源研究机构相匹配。虽然该项目进行基础工程研究,但两国强大的工业伙伴关系将促进行业咨询和随后的研究吸收。英国工业界通过ORE Catapult、DNV-GL、ITPE对该项目的大力支持,与EDF(法国)和DSA(加拿大)以及中国项目合作伙伴明阳风电有限公司的更广泛的国际支持相匹配。(中国第三大风电制造商),国家海洋技术中心,NOTC,(负责海洋空间规划的机构)和上海勘测设计研究院(SIDRI)(中国国有海上风电项目开发商),证明了拟议研究的及时性和行业相关性。所有合作伙伴都致力于支持建立一个长期的研究基地,通过合作研究和创新努力,以及能力建设和知识交流,开发具有弹性和成本效益的海上浮动风能系统。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Conference on Ocean, Offshore and Arctic Engineering
海洋、近海和北极工程会议
- DOI:
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Ed Mackay;Lars Johanning;Dongsheng Qiao;Dezhi Ning
- 通讯作者:Dezhi Ning
Using a porous-media approach for CFD modelling of wave interaction with thin perforated structures
- DOI:10.1007/s40722-020-00183-7
- 发表时间:2020-12
- 期刊:
- 影响因子:1.9
- 作者:Anna Feichtner;E. Mackay;G. Tabor;P. Thies;L. Johanning;D. Ning
- 通讯作者:Anna Feichtner;E. Mackay;G. Tabor;P. Thies;L. Johanning;D. Ning
On the relaxation approach for wave absorption in numerical wave tanks
数值波池中波吸收的弛豫方法
- DOI:10.1016/j.oceaneng.2019.106210
- 发表时间:2019
- 期刊:
- 影响因子:5
- 作者:Chen Q
- 通讯作者:Chen Q
On the hydrodynamic performance of a vertical pile-restrained WEC-type floating breakwater
- DOI:10.1016/j.renene.2019.06.149
- 发表时间:2020-02
- 期刊:
- 影响因子:8.7
- 作者:Qiang Chen;J. Zang;J. Birchall;D. Ning;Xuanlie Zhao;Junliang Gao
- 通讯作者:Qiang Chen;J. Zang;J. Birchall;D. Ning;Xuanlie Zhao;Junliang Gao
Numerical investigations of gap resonance excited by focused transient wave groups
聚焦瞬态波群激发间隙共振的数值研究
- DOI:10.1016/j.oceaneng.2020.107628
- 发表时间:2020-09
- 期刊:
- 影响因子:5
- 作者:Gao Junliang;Chen Hongzhou;Zang Jun;Chen Lifen;Wang Gang;Zhu Yazhou
- 通讯作者:Zhu Yazhou
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Lars Johanning其他文献
Semi-analytical study on the hydrodynamic performance of a cylindrical moon column FPSO with damping plate
- DOI:
10.1016/j.oceaneng.2024.119894 - 发表时间:
2025-01-15 - 期刊:
- 影响因子:
- 作者:
Can Yang;Zhenye Lu;Chang Wan;Zhirong Su;Xiaodong Bai;Lars Johanning - 通讯作者:
Lars Johanning
Development of a fully non-linear circular numerical wave basin based on the HOBEM and omni-controlling sources
基于高阶边界元法和全控源的完全非线性圆形数值波浪水池的开发
- DOI:
10.1016/j.enganabound.2025.106223 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:4.100
- 作者:
Lei Fu;Dezhi Ning;Deborah Greaves;Lars Johanning - 通讯作者:
Lars Johanning
Experimental investigation on the hydrodynamic performance of a cylindrical dual-chamber Oscillating Water Column device
圆柱双室振荡水柱装置水动力性能实验研究
- DOI:
10.1016/j.apenergy.2019.114252 - 发表时间:
2020-02 - 期刊:
- 影响因子:0
- 作者:
宁德志;Yu Zhou;Robert Mayon;Lars Johanning - 通讯作者:
Lars Johanning
A hybrid model based on chaos particle swarm optimization for significant wave height prediction
一种基于混沌粒子群优化的混合模型用于有效波高预测
- DOI:
10.1016/j.ocemod.2025.102511 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:2.900
- 作者:
Can Yang;Qingchen Kong;Zuohang Su;Hailong Chen;Lars Johanning - 通讯作者:
Lars Johanning
Scale model and ship simulator towing of the IEA 15 MW wind turbine on the UMaine VolturnUS-S platform
对安装在缅因大学VolturnUS-S平台上的国际能源署(IEA)15兆瓦风力涡轮机进行比例模型和船舶模拟器拖曳试验
- DOI:
10.1016/j.oceaneng.2025.121732 - 发表时间:
2025-09-01 - 期刊:
- 影响因子:5.500
- 作者:
Adam Roberts;Frédéric Le Pivert;Saied Kazemi;Tom Tosdevin;Adán López-Santander;Matthew J. Craven;Lars Johanning - 通讯作者:
Lars Johanning
Lars Johanning的其他文献
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{{ truncateString('Lars Johanning', 18)}}的其他基金
15AGRITECHCAT4: Lobster Grower 2 - Assessing the technical, economic and environmental potential for a novel candidate aquaculture industry
15AGRITECHCAT4:龙虾种植者 2 - 评估新型候选水产养殖业的技术、经济和环境潜力
- 批准号:
BB/N013891/1 - 财政年份:2016
- 资助金额:
$ 103.46万 - 项目类别:
Research Grant
13TSB_ACT: Lobster Grower - Develop the technology to fast track the aquaculture potential for the European Lobster
13TSB_ACT:龙虾种植者 - 开发技术以快速挖掘欧洲龙虾水产养殖潜力
- 批准号:
BB/M005208/1 - 财政年份:2014
- 资助金额:
$ 103.46万 - 项目类别:
Research Grant
Novel interpretation of oceanographic measurements: Development and application at the Wave Hub demonstration site
海洋学测量的新颖解释:Wave Hub示范点的开发和应用
- 批准号:
NE/M007847/1 - 财政年份:2014
- 资助金额:
$ 103.46万 - 项目类别:
Research Grant
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