从资产级数据中估计企业的排放量有助于揭示对净零目标的 (错误) 调整
Hamada Saleh1, Stefano Battiston2,3, Irene Monasterolo4,5,6
1Institut Louis Bachelier, Paris, France.
Nature communications
|March 7, 2026
概括
本研究引入了一个自下而上的方法来评估企业与净零场景的调整,使用资产级数据. 全球钢铁公司全球钢铁公司
科学领域:
- 环境科学 环境科学
- 能源政策 能源政策
- 工业生态学 工业生态学
背景情况:
- 准确评估企业与净零场景的协调是有效的气候政策的关键.
- 现有的方法通常缺乏细节性,无法提供对企业排放轨迹的详细估计.
- 钢铁行业是全球温室气体排放的重要贡献者,使其脱碳成为一个关键的挑战.
研究的目的:
- 开发和应用一个自下而上的方法来估计公司与净零场景的调整.
- 为企业排放轨迹提供详细的资产级别分析.
- 评估全球钢铁行业与国际能源署 (IEA) 净零排放 (NZE) 场景的协调程度.
主要方法:
- 开发一种自下而上的方法,利用来自单个生产单位的资产级数据.
- 该方法的应用在全球钢铁行业.
- 基于生产单位数据和未来排放因子演变的企业排放轨迹的估计.
主要成果:
- 全球钢铁公司2030年预计的排放量超过了IEA新西兰情景要求10%22%.
- 预计的排放量超过了公司公布的总体目标,即使是乐观的电力脱碳假设.
- 最大的钢铁公司是排放差距的主要驱动力.
结论:
- 一种自下而上,资产级别的方法为企业的气候承诺提供了关键的现实检查.
- 这种方法可以为更有针对性的脱碳工业政策提供信息.
- 这些发现对于监管披露和提高国家脱碳计划可信度至关重要.
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