自然资源学报

自然资源学报 ›› 2013, Vol. 28 ›› Issue (9): 1605-1614.doi: 10.11849/zrzyxb.2013.09.015

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江西省山地风场风能资源储量及特征分析

吴琼1, 聂秋生1, 周荣卫2, 徐卫民1   

  1. 1. 江西省气象局 气象科学研究所, 南昌 330046;
    2. 中国气象局 公共气象服务中心, 北京 100081
  • 收稿日期:2012-03-12 修回日期:2013-01-15 出版日期:2013-09-20 发布日期:2013-09-20
  • 作者简介:吴琼(1984- ),女,江西省赣县人,工程师,硕士,主要从事气候资源、中尺度模式研究。
  • 基金资助:
    公益性行业(气象)科研专项(GYHY20100635);国家发改委和中国气象局项目(批复文号:气发〔2008〕297号);江西省科技计划项目 (2010BGB01800);江西省气象局重点项目 (JXQX2010Z04);江西省气象科技创新基金(批复文号:赣气研发〔2007〕20号)。

Analysis of Wind Energy Resources Reserves and Characteristics in Mountain Area of Jiangxi Province

WU Qiong1, NIE Qiu-sheng1, ZHOU Rong-wei2, XU Wei-min1   

  1. 1. Jiangxi Provincial Meteorological Science Institute, Nanchang 330046, China;
    2. Public Meteorological Service Center, China Meteorological Administration, Beijing 100081, China
  • Received:2012-03-12 Revised:2013-01-15 Online:2013-09-20 Published:2013-09-20

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摘要： 论文利用数值模拟GIS空间分析法以及实测与野外勘察调研两种方法规划了江西省山地风能资源的具体分布并定量估算了其储量,此外,还利用山地2座测风塔资料,详细地分析了山地风能资源特性,结果表明:江西省高山地区风能资源呈沿山脉走向的线状分布或孤立山峰的点状分布,技术可开发量约为111×104 kW,技术可开发面积约为136 km2,装机容量约为148×104 kW。山地低层风速和风功率密度较大,随高度的增加略有增大,风切变指数很小,分别为0.017、0.098。山地风场风速和风功率密度日变化明显呈U型分布,正午前后风速最小,凌晨至清晨风速较大,最大风速与最小风速相差1~2 m/s;山地风场有两个接近相反的主导风向,集中在NW-N以及SSW-SSE扇区,对于风机机组布局较为有利。

关键词: GIS空间分析, 风能资源, 储量, 山地

Abstract: In this paper, numerical simulation with GIS spatial analysis method and observation with field investigation method are used to find the distribution of mountain area wind energy resources of Jiangxi Province and estimate its reserves quantitatively. In addition, the measured data of two anemometer towers of mountain wind field are used to analyze the wind resources characteristics of mountain area in detail. The results show that the wind resources in mountain area of Jiangxi Province present linear distribution along the mountain ridge or in point distribution on isolated mountain peak, with a technical exploitation amount of wind resources being about 111×104 kW, the technical exploitation area about 136 km2, and the installed capacity about 148×104 kW. Wind speed and wind power density in mountain area are higher, and increase slightly with the increase of the height, and the wind shear indexes are very small, being 0.017 and 0.098 respectively. The daily variations of wind speed and wind power density in mountain area appear obvious U-shaped distribution, that is, the wind speed and wind power density are the smallest around noon, and from early in the morning to morning, the values are large, the largest and the smallest values differ 1-2 m/s. In the mountain wind field, there are two dominant wind directions which are approximately to the opposite, the two dominant wind directions respectively focus on the NW-N section and SSW-SSE section, being helpful to the allocation of wind turbine.

Key words: GIS spatial analysis, wind energy resources, reserves, mountains

中图分类号: 

  • P49