Iced Wind Turbine Control Optimization
Iced Wind Turbine Control Optimization
批准号:
469228-2014
负责人:
Millot, Laurent
金额:
$4.72万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 3
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
中文摘要
自2010年以来,Senvion已在魁北克安装了200多台MM 82/92 2.05 MW寒冷气候型(CCV)风力涡轮机,这些风力涡轮机暴露在低温和中度至严重结冰条件下。风力涡轮机叶片上的积冰可能会导致空气动力学和质量不平衡,从而导致生产损失以及增加的极端负载。本项目的主要目标是优化Senvion涡轮机的冰运行模式,以最大化能量产出,同时确保最小的高极端负载风险。更具体地说,该项目旨在改善结冰检测,验证结冰引起的载荷,并在结冰事件期间优化涡轮机控制参数。这些目标将通过对魁北克两个风力发电场目前运行的四台Senvion MM 92 CCV风力涡轮机进行测量活动来实现,这些风力涡轮机暴露在中度和严重的结冰条件下。涡轮机配备了额外的气象,冰和负载传感器。这些数据将被分析并用于表征结冰事件和验证负载假设。涡轮机的结冰运行模式将根据分析和模拟的结果进行优化。预计到本项目结束时,Senvion涡轮机的结冰运行模式将得到极大的改善,从而为该制造商在不断增长的加拿大风能市场提供竞争优势,该市场主要是在寒冷的气候中。由于优化的冰运行模式,风电场所有者将最大限度地利用其资产,加拿大电网将更加稳定,导致可再生能源的渗透率更高。
英文摘要
Since 2010, Senvion has installed a fleet of more than 200 MM82/92 2.05 MW Cold Climate Version (CCV)wind turbines in Quebec which are exposed to low temperatures and moderate to severe icing conditions. Iceaccretion on wind turbine blades may cause aerodynamic and mass imbalances that can lead to productionlosses as well as increased extreme loads.The main objective of this project is to optimize the ice operation mode of a Senvion turbine in order tomaximize energy yield while ensuring a minimal risk of high extreme loads. More specifically, the project aimsto improve ice detection, validate ice induced loads, and optimize turbine control parameters during icingevents.These objectives will be achieved by conducting a measurement campaign on four Senvion MM92 CCV windturbines currently operating at two wind farms in Quebec, and which are exposed to moderate and severe icingconditions. The turbines are equipped with additional meteorological, ice and load sensors. The data will beanalyzed and used to characterize icing events and validate load assumptions. The turbine's ice operation modewill be optimized based on the results of analysis and simulation.It is expected that the ice operation mode of Senvion turbines will be greatly improved by the end of thisproject, providing the said manufacturer with a competitive edge in the growing Canadian wind energy market,which is predominantly in cold climate. As a result of an optimized ice operation mode, wind farm owners willmaximize their assets and the Canadian power grid will be more stable, leading to greater penetration ofrenewable energy.
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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: