在棉T恤制造业的物理碳核算不确定性分析
Emmanuel Olugbemi1, Natanael Favero Bolson2
1School of Engineering, University of Birmingham, Birmingham, B15 2TT, UK.
Scientific reports
|February 5, 2026
概括
这项研究量化了棉T恤生产碳足迹的不确定性. 织物制造业,特别是染色和织造业,排放量和不确定性最大,突出显示了织碳计算中的数据差距.
科学领域:
- 环境科学 环境科学
- 工业生态学 工业生态学
- 可持续制造 可持续制造 可持续制造
背景情况:
- 织行业是全球温室气体排放的主要贡献者.
- 织品产品级碳核算由于数据缺口和方法不确定性而面临挑战.
- 准确的碳足迹对于制定服装行业有效的减排战略至关重要.
研究的目的:
- 量化基于工艺的碳核算中的不确定性,用于棉T恤从摇篮到门的生产.
- 在织生产生命周期内确定主要的排放和不确定性热点.
- 评估用于织品碳足迹的二次活动数据和排放因子的可靠性.
主要方法:
- 使用血统矩阵评估二次活动数据和排放因子在五个数据质量指标:精度,完整性,时间,地理和技术代表性.
- 进行了标准棉T恤的摇篮到门碳足迹分析.
- 分析了不同生产阶段的不确定性贡献,包括线,织物生产和.
主要成果:
- 计算了从摇篮到门的总碳足迹,总的不确定性为±13.81%.
- 织物生产占总排放量的60%以上,占总不确定性的近70%,这是由于织造,染色和防护等能源密集型工艺.
- 线被确定为次要热点,而阶段对整体足迹和不确定性的影响相对较小.
结论:
- 在不同的织生产阶段,数据可靠性存在显著差异.
- 改进的初级数据收集,更新的排放因子和协调的数据库对于提高织碳核算的稳定性和可比性至关重要.
- 解决数据缺口,特别是在织物生产中,对于织行业准确的环境影响评估至关重要.
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