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Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment

机译:评估使用数值天气预报(NWP)模型进行风能评估

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摘要

Wind energy resource assessment applications require accurate wind measurements. Most of the published studies used data from existing weather station network operated by meteorological departments. Due to relatively high cost of weather stations the resolution of the weather station network is coarse for wind energy applications. Typically, meteorological departments install weather stations at specific locations such as airports, ports and areas with high density population. Typically, these locations are avoided during wind farms siting. According to WMO regulations, weather stations provide measurements for different weather elements at specific altitudes such as 2 m for air temperature and 10 m for wind measurements. For wind energy resource assessment applications, minimum of one year of wind measurements is required to build wind climatology for a certain site. Therefore data collected from a certain site cannot be used before one year of operation. Due to these limitations, wind energy resource assessment application needs to use data from different sources. Recently, wind assessment studies were conducted using data generated by Numerical Weather Prediction models. This paper reviews the use of the Numerical Weather Prediction data for wind energy resource assessment. It gives a general overview of NWP models and how they overcome the limitations in the classical wind measurements.
机译:风能资源评估应用需要精确的风量测量。大多数已发表的研究都使用了气象部门运营的现有气象站网络的数据。由于气象站的相对较高的成本,气象站网络的分辨率对于风能应用而言是粗糙的。通常,气象部门在特定位置(例如机场,港口和人口密度高的地区)安装气象站。通常,在风电场选址时应避免这些位置。根据WMO规定,气象站可以在特定高度(例如,气温为2 m,风力为10 m)下对不同天气要素进行测量。对于风能资源评估应用,至少需要一年的风速测量才能建立特定站点的风气候。因此,从某一站点收集的数据不能在运行一年之前使用。由于这些限制,风能资源评估应用程序需要使用来自不同来源的数据。最近,利用数值天气预报模型生成的数据进行了风能评估研究。本文回顾了数值天气预报数据在风能资源评估中的应用。它概述了NWP模型以及它们如何克服经典测风中的局限性。

著录项

  • 来源
    《Renewable & Sustainable Energy Reviews》 |2010年第9期|p.3192-3198|共7页
  • 作者单位

    Department of Electrical & Computer Engineering, College of Engineering, Sultan Qaboos University, P.O. 33, Al-Khodh, Muscat 123, Oman;

    Department of Geography, College of Arts and Social Sciences, Sultan Qaboos University, P.O. 42, Al-Khodh, Muscat 123, Oman;

    Department of Electrical & Computer Engineering, College of Engineering, Sultan Qaboos University, P.O. 33, Al-Khodh, Muscat 123, Oman;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wind energy assessment; wind measurements; numerical weather prediction;

    机译:风能评估;风测量;数值天气预报;
  • 入库时间 2022-08-18 01:24:48

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