SUPERGEN WIND ENERGY TECHNOLOGIES-CORE, Towards the Offshore Wind Power Station

SUPERGEN风能技术-核心，迈向海上风力发电站

• 批准号: EP/H018662/1
• 负责人: Peter Tavner
• 金额: $ 615.97万
• 依托单位: Durham University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FH018662%2F1
• 关键词: SUPERGEN; WIND; ENERGY; TECHNOLOGIES; CORE

The Mission of Supergen Wind 2'To undertake research to achieve an integrated, cost-effective, reliable & available Offshore Wind Power Station.'This will be done under the four objectives:Reliability.Resource estimation.Scaling up of turbine sizes.Lifetime costs.The project will have two parallel Initiating Themes during the first two years. The first to deal with research into the physics and engineering of the offshore wind farm. The second to look more specifically at the wind turbine, building upon the lessons of Supergen Wind 1. In the third and fourth years of the project, the results of these two Themes will feed into a third Gathering Theme, which will consider the wind farm as a power station looking at how the power station should be designed, operated and maintained for optimum reliability and what the overall economics will be.

Supergen Wind 2'To的使命进行研究，以实现综合，具有成本效益，可靠且可用的海上风力发电站。'这将在四个目标下完成：可靠性估算。资源估算。降低了涡轮尺寸的成本。该项目将在头两年中有两个平行的主题。第一个处理海上风电场物理和工程研究的研究。第二个更具体地说的是在超级风的课程上进行风力涡轮机。在项目的第三年和第四年，这两个主题的结果将成为第三个聚会主题，这将视为风电场作为电站，以考虑如何设计，操作和维护发电站，以获得最佳的可靠性和整体经济学。

项目成果

Modeling Methodology for Computing the Radar Cross Section and Doppler Signature of Wind Farms

• DOI: 10.1109/tap.2013.2272454
• 发表时间: 2013-10-01
• 期刊: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
• 影响因子: 5.7
• 作者: Danoon, Laith R.;Brown, Anthony K.
• 通讯作者: Brown, Anthony K.

Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS

• DOI: 10.1016/j.eswa.2013.06.018
• 发表时间: 2013-12-01
• 期刊: EXPERT SYSTEMS WITH APPLICATIONS
• 影响因子: 8.5
• 作者: Chen, Bindi;Matthews, Peter C.;Tavner, Peter J.
• 通讯作者: Tavner, Peter J.

An Offshore Wind Energy Geographic Information System (OWE-GIS) for assessment of the UK's offshore wind energy potential

• DOI: 10.1016/j.renene.2015.09.021
• 发表时间: 2016-03-01
• 期刊: RENEWABLE ENERGY
• 影响因子: 8.7
• 作者: Cavazzi, S.;Dutton, A. G.
• 通讯作者: Dutton, A. G.

HVDC grid control system based on autonomous converter control

基于自主变流器控制的高压直流电网控制系统

• DOI: 10.1049/cp.2016.0261
• 发表时间: 2016
• 作者: Beddard A

Analysis of electrical power data for condition monitoring of a small wind turbine

• DOI: 10.1049/iet-rpg.2012.0326
• 发表时间: 2013-06
• 期刊: Iet Renewable Power Generation
• 影响因子: 2.6
• 作者: J.P. Barton;S. Watson