Offshore Wind - Blade Access System and working Environment (BASE) Project
Offshore Wind - Blade Access System and working Environment (BASE) Project
批准号:
104214
负责人:
金额:
$49.1万
依托单位国家:
英国
项目类别:
Collaborative R&D
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
“叶片接入系统和工作环境(BASE)项目将通过减少与叶片维护相关的涡轮机停机时间,提高叶片维修质量和性能升级,有助于将海上风电的平准化能源成本(LCoE)降低0.6%。项目合作伙伴包括Span Access, Turner Access, Turner ICENI, Offshore Renewable Energy (ORE) Catapult, Dundee大学和Robert Gordon大学,他们将开发并展示一种创新技术,为叶片技术人员提供安全有效的风力涡轮机叶片,并为进行维护创造更稳定的工作环境,从而促进叶片维修质量的提高。Span Access将领导该项目,并将与合作伙伴合作,优化其专利技术TechniSpan,以应对海上风力涡轮机叶片接入的挑战。一个原型BASE单元将被开发并在ORE Catapults 7MW海上风力涡轮机上进行演示。这将很好地说明在海上资产的高度工作所面临的挑战,这些资产的叶片通常直径为50 - 100米,海拔为90米。”
英文摘要
"The Blade Access System and working Environment (BASE) project will contribute to a 0.6% reduction in the Levelised Cost of Energy (LCoE) from offshore wind by reducing turbine downtime associated with blade maintenance and improving the quality of blade repairs and performance upgrades. The project partners - Span Access, Turner Access, Turner ICENI, Offshore Renewable Energy (ORE) Catapult, Dundee University and Robert Gordon University -- will develop and demonstrate an innovative technology which improves safe and efficient access to wind turbine blades for blade technicians, and creates a more stable working environment for undertaking maintenance which in turn will facilitate a better quality of blade repair. Span Access will lead the project and will collaborate with the partners to optimise their patented TechniSpan technology for the challenge of offshore wind turbine blade access.A prototype BASE unit will be developed and be demonstrated at ORE Catapults 7MW demonstration offshore wind turbine in Levenmouth, Fife. This will be an excellent illustrate of the challenges of working at height on offshore assets where blades which are typically from 50 -- 100m in diameter and 90 metres above the sea."
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专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: