中国的产品级二氧化碳排放数据集与1997年至2020年的国家输入-输出表保持一致
Xinbei Li1,2, Yu Liu3,4, Jing Zhang5
1School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing, 100049, China.
Scientific data
|January 8, 2025
概括
这项研究为中国创建了高质量的产品级碳排放数据集,解决了能源统计和输入输出表 (IOT) 中的数据不一致性,以便更好地进行气候建模.
科学领域:
- 环境科学 环境科学
- 经济学 经济学 经济学
- 能源系统分析 能源系统分析
背景情况:
- 使用输入输出表 (IOT) 的碳排放研究受到行业级能源统计和产品级IOT之间的数据不一致的阻碍.
- 现有的研究往往无法协调这些部门差异,导致环境模型存在重大错误.
- 准确的产品级排放数据对于中国有效的气候和能源政策分析至关重要.
研究的目的:
- 为中国开发高质量的产品级排放数据集.
- 解决碳排放会计中工业和产品部门之间的数据不一致问题.
- 提供一个基本的数据库,用于与基于IoT的气候和能源模型进行集成.
主要方法:
- 开发了一种基于中国国家IOT的强有力的产品技术识别方法.
- 构建了一个新的排放数据集,涵盖7个基准年 (1997-2020) 的29-34个产品部门.
- 纳入了4-5个能源部门和18种化石燃料的数据,使用IPCC默认和中国特有的排放因子.
主要成果:
- 为中国创建了一个新的产品级排放清单,与国家IOT保持一致.
- 该数据集涵盖1997年至2020年,在各种产品部门提供详细的化石燃料排放量.
- 与以前的方法相比,产品部门的排放会计准确度提高.
结论:
- 开发的数据集解决了中国碳排放研究中的关键数据质量问题.
- 这种产品层面的库存提高了基于IoT的环境和能源模型的可靠性.
- 作为信息化的能源和排放分析和政策制定的基本资源.
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