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A NEW ASSESSMENT OF OFFSHORE WIND PROFILE RELATIONSHIPS

机译:离岸风廓线关系的新评估

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Engineering design codes specify a variety of different relationships to quantify vertical variations in wind speed, gust factor and turbulence intensity. These are required to support applications including assessment of wind resource, operability and engineering design. Differences between the available relationships lead to undesirable uncertainty in all stages of an offshore wind project. Reducing these uncertainties will become increasingly important as wind energy is harnessed in deeper waters and at lower costs. Installation of a traditional met mast is not an option in deep water. Reliable measurement of the local wind, gust and turbulence profiles from floating LiDAR can be challenging. Fortunately, alternative data sources can provide improved characterisation of winds at offshore locations. Numerical modelling of wind in the lower few hundred metres of the atmosphere is generally much simpler at remote deepwater locations than over complex onshore terrain. The sophistication, resolution and reliability of such models is advancing rapidly. Mesoscale models can now allow nesting of large scale conditions to horizontal scales less than one kilometre. Models can also provide many decades of wind data, a major advantage over the site specific measurements gathered to support a wind energy development. Model data are also immediately available at the start of a project at relatively low cost. At offshore locations these models can be validated and calibrated, just above the sea surface, using well established satellite wind products. Reliable long term statistics of near surface wind can be used to quantify winds at the higher elevations applicable to wind turbines using the wide range of existing standard profile relationships. Reduced uncertainty in these profile relationships will be of considerable benefit to the wider use of satellite and model data sources in the wind energy industry. This paper describes a new assessment of various industry standard wind profile relationships, using a range of available met mast datasets and numerical models.
机译:工程设计规范规定了各种不同的关系,以量化风速,阵风系数和湍流强度的垂直变化。这些是支持应用程序所必需的,包括评估风资源,可操作性和工程设计。可用关系之间的差异导致海上风电项目各个阶段的不确定性。随着在更深的水域中以更低的成本利用风能,减少这些不确定性将变得越来越重要。在深水中不能选择安装传统的气象桅杆。从浮动LiDAR可靠地测量本地风,阵风和湍流廓线可能是具有挑战性的。幸运的是,替代数据源可以改善离岸风的特征。相对于复杂的陆上地形,在偏远的深水位置,大气下层几百米的风的数值模拟通常要简单得多。这种模型的复杂性,分辨率和可靠性正在迅速发展。中尺度模型现在可以将大规模条件嵌套到小于一公里的水平尺度。模型还可以提供数十年的风能数据,这是相对于为支持风能开发而收集的特定地点测量值的主要优势。模型数据也可以在项目开始时以相对较低的成本立即获得。在海上位置,可以使用完善的卫星风力产品对这些模型进行验证和校准,就在海平面以上。可靠的近地表风的长期统计数据可用于使用各种现有的标准轮廓关系来量化适用于风力涡轮机的较高海拔的风。这些轮廓关系的不确定性降低将为风能行业中卫星和模型数据源的广泛使用带来巨大的好处。本文使用一系列可用的气象桅杆数据集和数值模型,对各种行业标准风廓线关系进行了新的评估。

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