Investigation of wake and topography effects on a wind farm performance

研究尾流和地形对风电场性能的影响

• 批准号: 479772-2015
• 负责人: Siddiqui, Kamran
• 金额: $ 1.82万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=580270
• 关键词: Investigation; wake; topography; effects; wind

Recently Canada has become the 9th wind energy producer in the world covering approximately 3% or 6,500 MW of its total electrical power needs from wind energy. Nevertheless, the present wind farm models have difficulties in assessing all the interaction effects in a wind farm. This results in the under-performance of wind farms which put significant economic strain on the wind farm operation. The supporting organization owns and operates a wind farm. One of the wind turbines in the wind farm under-performs by 10%, which causes a financial strain. This under-performance is suspected to be due to the surrounding topography and/or wind farm layout. The main objectives of the proposed research project are to characterize (i) topography effects introduced in the vicinity of the low-performance wind turbine and (ii) wake effects from both the low-performance wind turbine and co-located wind turbines. The project objectives will be achieved through comprehensive field measurements and data analysis. The outcome of the proposed project will provide supporting organization with a better understanding of their wind farm, which will be vital from economic perspective and future expansion. Understanding the influence of wake interference and topography on wind farm modeling parameters is critical for Canadian wind energy industry. Improvement of the existing models reduces the uncertainty in energy yield assessment, thus contributing to enhanced productivity as well as strengthening the investor confidence in the Canadian wind energy market. The results from this project will directly benefit several stakeholders in the Canadian wind energy market including wind farm designers and installers, and ultimately the wind farm operators.

最近，加拿大已成为世界第九大风能生产国，风能满足了其总电力需求的约3%或6，500 MW。然而，目前的风电场模型在评估风电场中所有的相互作用效应方面存在困难。这导致风力发电场的表现不佳，这给风力发电场的运营带来了巨大的经济压力。 支持组织拥有并经营一个风力发电场。风电场中的一台风力涡轮机的性能低于10%，这导致了财务紧张。这种表现不佳被怀疑是由于周围的地形和/或风电场的布局。 拟议研究项目的主要目标是表征（i）在低性能风力涡轮机附近引入的地形效应，以及（ii）低性能风力涡轮机和共置风力涡轮机的尾流效应。项目目标将通过全面的实地测量和数据分析来实现。 拟议项目的结果将使支持组织更好地了解其风电场，这从经济角度和未来扩展来看至关重要。了解尾流干扰和地形对风电场建模参数的影响对加拿大风能产业至关重要。现有模型的改进减少了能源产量评估的不确定性，从而有助于提高生产率，并加强投资者对加拿大风能市场的信心。该项目的成果将直接惠及加拿大风能市场的几个利益相关者，包括风电场设计师和安装人员，最终将惠及风电场运营商。