2010年至2022年中国的向量化农电数据集
1Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Rd, Beijing, 100101, China.
Scientific data
|January 27, 2026
概括
到2022年,中国有1678个农业电力项目,总计134.55吉瓦. 这项研究提供了关于农业电力发电分布和类型的首个全国性数据集,这对可持续发展至关重要.
科学领域:
- 可再生能源系统可再生能源系统
- 可持续农业 可持续农业
- 地理空间数据分析.
背景情况:
- 农电集团将太阳能电池板与农业集成,以获得双重利益:粮食生产和清洁能源发电.
- 中国是农业电力发电领域的领先国家,但缺乏用于空间分析的全面向量化数据集.
- 现有的数据缺口阻碍了有效管理和了解中国的农业电力发展.
研究的目的:
- 创建中国农电项目第一个全国性的向量化数据集.
- 绘制分布图,并确定中国各地的农电设施类型.
- 支持宏观层面的管理和农业电力可持续发展战略.
主要方法:
- 利用综合识别方法,结合光伏发电厂的已公布空间数据和农业电力记录.
- 使用视觉检查来识别农业电力,总体准确率为89.71%.
- 开发了一个矢量化数据集来表示农业电力电气的空间分布和特征.
主要成果:
- 到2022年,中国将举办1678个农电项目,总装机容量为134.55吉瓦.
- 中国的商业化农电电力从2010年开始,在2017年达到峰值,共有347个项目,其次是持续的年度增长.
- 最常见的农业电源类型是以作物为基础的,以渔业为基础的和以温室为基础的系统.
结论:
- 开发的向量化数据集为中国的农业电力景观提供了关键的见解.
- 这一数据集将促进知情的宏观层面管理和规划,以实现农业电力可持续扩张.
- 调查结果强调了中国农业电力电气的巨大规模和多样性,强调了其在能源和粮食安全方面的作用.
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