A systematic review of the life cycle inventory of clothing

生命周期评估 温室气体 背景(考古学) 环境影响评价 产品(数学) 服装 环境科学 环境经济学 生产(经济) 生命周期清单 原材料 能源消耗 供应链 运营管理 工程类 业务 数学 经济 地理 有机化学 化学 考古 营销 几何学 宏观经济学 电气工程 生物 生态学
作者
Prabod Dharshana Munasinghe,Angela Druckman,Geetha Dissanayake
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:320: 128852-128852 被引量:52
标识
DOI:10.1016/j.jclepro.2021.128852
摘要

The clothing industry is a significant contributor to environmental degradation. Many life cycle assessment (LCA) studies have been conducted to analyse its environmental impacts, however the majority of studies focus on either just one or a few stages of the product life cycle, and/or on a specific type of product. Therefore, easily accessible life cycle inventory (LCI) data that can be used in decision making by practitioners and researchers are lacking. This study addresses this gap. By collating data through a systematic literature review and meta-analysis, it provides LCI data on energy use, water use and greenhouse gas emissions for a range of materials across all stages of the life cycle on a consistent basis. A framework is developed that groups each material at each life cycle stage according to the intensity of its energy and water use, and greenhouse gas emissions. The analysis revealed that the raw material extraction stage generally has the highest environmental impact. In this life cycle stage, flax is the virgin fibre with the lowest environmental impacts, recycled cotton is the recycled fibre which has the lowest environmental impacts and Indian silk is found to have the highest impacts. The review identifies the gaps in the availability of LCI data and provides recommendations for LCA studies to address these gaps, as without comprehensive data, robust decisions cannot be made. The results presented in this paper must be looked at in the wider context of consumption: the best way to reduce impacts is to reduce consumption. However, noting that production cannot be reduced to zero, the results of this study will aid pro-environmental decision making by stakeholders of the fashion industry, such as designers and consumers, as well as being of use to researchers.
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