面向基于标准的可重复使用生命周期库存数据模型的生成,用于制造工艺的数据模型
Michael P Brundage1, David Lechevalier2, K C Morris1
1National Institute of Standards and Technology Systems Integration Division Gaithersburg, MD 20814.
概括
本研究探讨使用ASTM标准来创建更好的生命周期库存 (LCI) 数据用于环境影响评估. 它将ASTM数据映射到ecoSpold2格式,提高生命周期评估 (LCA) 的准确性.
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:
- 产品生命周期评估 (LCA) 依赖于准确的生命周期库存 (LCI) 数据.
- 目前的LCI数据往往缺乏制造工艺的细节和准确性.
- 制造业研究旨在改善环境影响建模和减少.
研究的目的:
- 调查ASTM E3012-16用于生成LCI数据集的可用性.
- 将ASTM标准数据映射到LCA的ecoSpold2格式.
- 为了确定ASTM和ecoSpold2标准之间的重叠和差距.
主要方法:
- 开发一个过程,从ASTM模型生成LCI数据集.
- 将映射数据从ASTM E3012-16格式转换为ecoSpold2格式.
- 两种数据标准的比较分析.
主要成果:
- 建立了一个将ASTM数据转换为ecoSpold2的方法.
- 确定了ASTM和ecoSpold2格式之间的重叠和差异.
- 证明了增强LCI数据生成的潜力.
结论:
- 可以使用ASTM E3012-16标准来生成用于LCA的LCI数据集.
- 映射到ecoSpold2提高了制造影响数据的可重复使用性和准确性.
- 需要进一步努力,才能完全协调全面的LCA的两个标准.
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