Additive inclusion in plastic life cycle assessments, part II: Review of additive inventory data trends and availability

包裹体(矿物) 生命周期清单 工业生态学 生命周期评估 化学 生物 经济 持续性 生态学 矿物学 生产(经济) 宏观经济学
作者
Heather Margaret Logan,S. DeMeester,Thomas Fruergaard Astrup,Anders Damgaard
出处
期刊:Journal of Industrial Ecology [Wiley]
卷期号:28 (6): 1554-1566 被引量:7
标识
DOI:10.1111/jiec.13534
摘要

Plastic additives are as essential as polymers to the production and performance of plastic materials. Additive content can vary in composition and functionality depending on the product, producer, application, and production method. Such variation may be a barrier to achieving high-quality recycling and planning for plastic circular economy futures. Yet, as found in Part I, although there is increasing awareness of the importance of additives in plastics, they are often poorly disclosed or only briefly discussed in life cycle assessments (LCAs). In part II, we focus on the inclusion of additives in plastic processes in the database most used in plastic LCAs to date (Ecoinvent) and find that additives have historically been omitted from plastic granulate data and in production processes in the evaluated database. Thus, many practitioners will need to separately include additives in their models of plastic life cycles. To support practitioners in this endeavor, we then assess the availability of the 13,587 additives identified in the recent UN Chemicals in Plastics Report across the three major LCI databases (CarbonMinds, Ecoinvent, and LCA for Experts [GaBi]). We find that databases currently cover only 1,209 of these additives. Moreover, we assert that transparency regarding additive inclusion in plastics datasets, availability of additive datasets, and additive data completeness are major barriers to additive inclusion in plastic LCAs. Thus, we recommend focusing on the development of additive datasets, and we provide a tool for the identification of additive dataset availability and data gaps to improve the quality of plastic LCAs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
眼睛大西牛完成签到,获得积分20
1秒前
香蕉觅云应助rui采纳,获得10
1秒前
2秒前
alexlpb发布了新的文献求助10
2秒前
2秒前
传奇3应助aaaab采纳,获得10
3秒前
3秒前
4秒前
4秒前
康恺完成签到,获得积分10
4秒前
4秒前
领导范儿应助5433采纳,获得10
4秒前
闪闪的曼凡完成签到,获得积分20
4秒前
核桃发布了新的文献求助10
5秒前
Hello应助焦糖开水采纳,获得10
6秒前
共产主义战士应助康恺采纳,获得10
6秒前
开心饼干发布了新的文献求助10
7秒前
牛马发布了新的文献求助200
7秒前
7秒前
7秒前
8秒前
hurricane188发布了新的文献求助10
8秒前
想睡觉完成签到 ,获得积分10
9秒前
斩封发布了新的文献求助30
9秒前
科目三应助梵高的向日葵采纳,获得10
10秒前
庞念坤完成签到 ,获得积分10
11秒前
科研通AI6.4应助无一采纳,获得10
11秒前
李君然完成签到,获得积分10
11秒前
12秒前
英姑应助beiheyu采纳,获得10
12秒前
luo发布了新的文献求助10
14秒前
15秒前
15秒前
JamesPei应助笑点低的人采纳,获得10
16秒前
Ceremony1718完成签到,获得积分20
17秒前
17秒前
Syoung完成签到 ,获得积分10
18秒前
李健的小迷弟应助之昂采纳,获得10
18秒前
淼淼发布了新的文献求助10
18秒前
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7763608
求助须知:如何正确求助?哪些是违规求助? 9308058
关于积分的说明 20303648
捐赠科研通 7348429
什么是DOI,文献DOI怎么找? 3314054
关于科研通互助平台的介绍 2463790
邀请新用户注册赠送积分活动 2328180