Dataset with updated ozone depletion characterization factors for life cycle impact assessment.

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Data in Brief Pub Date : 2024-11-04 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111103
Anne E M van den Oever, Stefano Puricelli, Daniele Costa, Nils Thonemann, Maeva Lavigne Philippot, Maarten Messagie
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引用次数: 0

Abstract

This dataset provides the latest characterization factors for ozone depletion based on the most recent ozone depletion potentials from the 2022 World Meteorological Organization (WMO) scientific assessment. These characterization factors can be used in life cycle assessment (LCA) to convert emissions of ozone-depleting substances to the common unit of the ozone depletion impact category, measured in kg CFC-11-eq. The dataset is formatted for easy import into LCA software such as Brightway, the Activity Browser, and SimaPro. The characterization factors are provided for both 100-year and infinite time horizons. The dataset addresses the current limitations of life cycle impact assessment (LCIA) methods, which are outdated and lack comprehensive substance coverage, by including 318 substances reported in the latest WMO assessment. This update ensures relevance for current ozone depletion assessment, including substances banned but still in use, very short-lived substances, and N2O. The methodology for updating and converting characterization factors is provided, supporting future updates in line with new scientific assessments. The dataset aims to enhance the accuracy and comprehensiveness of ozone depletion impact assessments in LCA studies.

更新臭氧消耗特征因子的数据集,用于生命周期影响评估。
该数据集基于2022年世界气象组织(WMO)科学评估的最新臭氧消耗潜能值,提供了臭氧消耗的最新表征因子。这些表征因子可用于生命周期评估(LCA),将消耗臭氧物质的排放转换为臭氧消耗影响类别的共同单位,以千克cfc -11当量为单位。数据集经过格式化,便于导入LCA软件,如Brightway、Activity Browser和SimaPro。提供了100年和无限时间范围的表征因子。该数据集通过包括WMO最新评估中报告的318种物质,解决了目前生命周期影响评估(LCIA)方法的局限性,这些方法过时且缺乏全面的物质覆盖。这一更新确保了当前臭氧消耗评估的相关性,包括禁用但仍在使用的物质、寿命极短的物质和一氧化二氮。提供了更新和转换表征因子的方法,支持与新的科学评估一致的未来更新。该数据集旨在提高LCA研究中臭氧消耗影响评估的准确性和全面性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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