基于粒子尾流模型的风电场风资源评估系统

发布时间：2018-05-02 09:19

本文选题：风能 + 风资源评估　；参考：《工程热物理学报》2014年12期

【摘要】：煤炭、石油和天然气等化石能源面临着枯竭,各国争相开发利用可再生能源,风能是目前最具开发利用潜力的可再生能源。风能受地理条件和周围环境的影响大,所以风电场的风资源评估在选址、运营和预测方面都至关重要。本文开发了一套风电场风资源评估系统,它充分考虑了地形、当地风速风向、风电场使用的风力机类型和风力机间的尾流影响,采用基于风力机特性的粒子尾流模型,通过CFD计算,得到风电场的功率输出和风资源分布,此系统既可应用于风电场建造前的选址和评估,也可应用于运营中的检验和预测,有很强的工程应用价值。本文通过澳大利亚Wattle Point Wind Farm(WPWF)实测数据对评估系统的可靠性和精确度进行了验证。
[Abstract]:Coal, oil and natural gas and other fossil energy are facing depletion, countries are scrambling to develop and utilize renewable energy, wind energy is the most potential renewable energy. Wind energy is greatly affected by geographical conditions and surrounding environment, so wind resource assessment of wind farm is very important in location, operation and prediction. In this paper, a wind resource assessment system for wind farm is developed, which takes into account the topography, local wind speed and wind direction, wind turbine type used in wind farm and the influence of wind turbine wake. The particle wake model based on wind turbine characteristics is adopted. The power output and wind resource distribution of wind farm can be obtained by CFD calculation. This system can be used not only in site selection and evaluation before wind farm construction, but also in inspection and prediction in operation, which has strong engineering application value. In this paper, the reliability and accuracy of the evaluation system are verified by the measured data of Wattle Point Wind FarmWPWFs in Australia.
【作者单位】：清华大学航天航空学院传热与能源利用北京市重点实验室热科学与动力工程教育部重点实验室;
【基金】：国家高技术研究发展计划(863计划)(No.2007AA05Z426) 国家国际科技合作专项项目(No.2011DFG13020) 中国博士后科学基金(No.2013M530043)
【分类号】：TM614

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