| 摘要: |
| 精细化评估贵州复杂山地地形下的风能资源分布,对贵州风能资源开发利用具有重要的指导意义,册亨县是贵州省风能资源重点开发利用区域之一,本文以册亨县为例,利用贵州册亨县境内5座测风塔观测资料及其周边气象站数据,采用Meteodyn WT 流体力学模型软件对整个册亨县境内山地风能资源进行模拟分析评估,结果表明：基于测风塔和WT数值模拟的风能资源评估方法模拟误差较小,适用于贵州山地复杂地形下的风能资源评估；册亨县风资源较好的区域主要分布在中部的秧坝镇、者楼镇、丫他镇以及北部的坡妹镇、庆坪乡、威旁乡和冗渡镇的较高山脊处,具备一定开发利用价值；受册亨独特的地理位置和地形地势以及季风的多重影响,册亨县风能资源有较明显的月变化特征,11-5月风资源较好。 |
| 关键词: 测风塔; WT数值模拟; 山地风能资源 |
| DOI： |
| 投稿时间：2024-05-09修订日期：2024-06-15 |
| 基金项目: |
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| Evaluation of wind energy resources in mountainous areas of Guizhou based on wind tower and WT numerical simulation——Take Ceheng County as an example |
| Li Xiao,Huang Chenran,Zhu Jun,Ding Liguo,Xiang Shujun |
| (Guizhou Climate Center) |
| Abstract: |
| The refined assessment of the distribution of wind energy resources under complex mountainous terrain in Guizhou has important guiding significance for the development and utilization of wind energy resources in Guizhou. Ceheng county is one of the key development and utilization areas of wind energy resources in Guizhou. Based on the observation data of 5 wind measuring towers in Ceheng County and the data of surrounding meteorological stations, the mountain wind energy resources in Ceheng county are simulated, analyzed and evaluated by using the Meteoryn WT hydrodynamics model software. The results show that the simulation error of the wind energy resources evaluation method based on wind measuring tower and WT numerical simulation is small, It is suitable for wind energy resource evaluation under complex mountainous terrain in Guizhou; The areas with good wind resources in Ceheng are mainly distributed on the higher ridges in Yangba Town, Zhelou Town and Yata Town in the middle and Pomei Town, Qingping Town, Weipang Town and Rongdu Town in the north, which have certain development and utilization value; Due to the unique geographical location and topography of Ceheng and the multiple effects of monsoon, the wind energy resources in Ceheng have obvious monthly variation characteristics, and the wind resources are better from November to May. |
| Key words: Anemometer tower; WT numerical simulation; Mountain wind energy resources |
