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基于WRF模式的广东海上风资源评估
引用本文:陈楠,杨苹,邹澍,许志荣.基于WRF模式的广东海上风资源评估[J].装备环境工程,2013,10(5):1-6,10.
作者姓名:陈楠  杨苹  邹澍  许志荣
作者单位:1. 广东省电力设计研究院,广州,510663
2. 风电控制与并网技术国家地方联合工程实验室,广州 511458; 华南理工大学 电力学院,广州 510640
3. 广东省绿色能源技术重点实验室,广州 511458; 华南理工大学 电力学院,广州 510640
摘    要:在概述风资源评估传统方法的基础上,通过以下两个方面对基于WRF模式的海上风资源评估方法进行探讨。首先,详细分析了基于WRF模式的海上风资源评估的过程;其次使用珠江口某设计中的海上风场作为算例,进行了风资源量化估计,并对结果进行了对比。得出的主要结论为,鉴于我国缺乏长期和大面积的海上测风网,使用数值天气预报对海上风资源进行评估是必须的;风切变指数的变化剧烈,不应视作常数;数值预报数据应根据测风塔数据进行校正;对于选定了位置的风场,根据现场测风塔和根据数值天气预报给出的评估结果无显著差别。

关 键 词:海上风资源评估  数值天气预报  WRF模式
收稿时间:6/6/2013 12:00:00 AM
修稿时间:9/1/2013 12:00:00 AM

Offshore Wind Resouce Assessment Based on WRF Model
CHEN Nan,YANG Ping,ZOU Shu and XU Zhi-rong.Offshore Wind Resouce Assessment Based on WRF Model[J].Equipment Environmental Engineering,2013,10(5):1-6,10.
Authors:CHEN Nan  YANG Ping  ZOU Shu and XU Zhi-rong
Institution:1. Guangdong Electric Power Design Institute, China Energy Engineering Group Co., Ltd, Guangzhou 510663, China; 2. National-Local Joint Engineering Laboratory for Wind Power Control and Integration Technology, Guangzhou 511458, China) 3. Guangdong Key Laboratory of Clean Energy Technology, Guangzhou 511458, China; 4. School of Electricity Power, South China University of Technology, Guangzhou 510640, China)
Abstract:Traditional wind resource assessment methods were summarized. The WRF model based offshore wind resource assessment method was discussed from two aspects. First, marine wind resource assessment based on WRF model was analyzed in detail; secondly, the wind resource was quantitatively estimated with examples of Pearl River offshore wind farms, and the results were compared. It was concluded that use of numerical weather prediction for offshore wind resource assessment is necessary for lack of long-term and large-scale offshore wind measurement network; wind shear exponent changes dramatically and should not be treated as a constant; NWP data should be corrected based on the data of anemometer tower; for wind farms with designated location, there is no significant difference between assessment of anemometer tower and NWP.
Keywords:offshore-wind resource assessment  numerical weather prediction  WRF model
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