一个全面的城市级最终能源消耗数据集,包括中国的可再生能源,2005-2021年
Guanglei Yang1, Guoxing Zhang1, Dongqin Cao2
1School of Management, Lanzhou University, Lanzhou, 730000, China.
Scientific data
|July 7, 2024
概括
中国中国中国中国.
科学领域:
- 环境科学 环境科学
- 能源政策 能源政策
- 计算建模 计算建模
背景情况:
- 中国在全球气候变化缓解中的关键作用需要详细的城市级能源数据.
- 有效的国家节能和减排政策取决于地方政府的支持和准确的最终能源消耗数据.
- 对于中国各城市的最终能源消耗,存在很大的数据缺口,这阻碍了有效的政策制定和能源转型规划.
研究的目的:
- 通过开发计算建模技术来解决数据短缺的问题,以估计中国城市级最终能源消耗.
- 创建一个全面的数据集,从2005年到2021年为331个中国城市的最终能源消耗.
- 为分析能源转型动态和为政策制定提供信息提供基础.
主要方法:
- 利用了顶向下和缩放计算建模方法的组合.
- 七个经济部门,30种化石燃料和四种清洁能源的最终能源消耗估计.
- 通过多个视角验证估计结果,以确保准确性和可靠性.
主要成果:
- 编制了331个中国城市的详细最终能源消耗清单,涵盖了2005-2021年期间.
- 该数据集为城市层面的能源使用模式提供了详细的见解.
- 开发的方法提供了一个可靠的方法来估计能源消耗,而数据有限.
结论:
- 汇编的数据集填补了中国城市级能源消耗的关键数据缺口.
- 这种资源对于制定和实施有效的能源转型和减排政策至关重要.
- 这些数据支持能源转型动态,风险管理和政策制定方面的先进研究.
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