提高中国铝资源效率:基于物料流分析和熵分析

Guimei Zhao , Yong Geng , Chao Tang , Han Hao , Raimund Bleischwitz , Xu Tian
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引用次数: 4

摘要

铝是一种广泛使用的金属,在中国的工业和经济发展中发挥着重要作用。铝产品的生命周期涉及高能源投入、高材料消耗和高环境排放。中国发布了雄心勃勃的气候变化目标,即到2030年达到碳峰值,到2060年实现碳中和。因此,迫切需要采取适当的行动,减少铝生产过程中的温室气体排放,提高整个铝生命周期的资源效率。在此背景下,本研究旨在通过2000-2019年全生命周期包括相关国际贸易活动的动态物料流分析,探索中国铝的回收潜力。利用熵分析方法确定优化途径,提高铝资源效率和循环度。结果表明,在过去的二十年中,中国的铝生产和消费经历了快速增长,其原铝产量从2000年的418万吨增加到2019年的3511万吨,铝消费量从2000年的299万吨增加到2019年的3250万吨。如此快速的增长造成了严重的环境影响。例如,2000年,铝在生产阶段的环境损失占其整个生命周期总损失的46%,而这一比例在2019年上升到69%。因此,熵分析结果反映出,在废物管理阶段,铝的相对熵在上升,这表明任何污染物排放到环境中都会造成重大破坏。情景分析结果有助于进一步确定铝代谢系统的最佳途径。最后,提出了提高铝资源综合利用效率的政策建议。
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Improving aluminium resource efficiency in China: Based upon material flow analysis and entropy analysis

Aluminium is one widely used metal that plays an important role in China's industrial and economic development. The life cycles of aluminium products involve high energy inputs, intensive material consumption and heavy environmental emissions. China has released its ambitious climate change targets, namely reaching carbon peak in 2030 and achieving carbon neutrality in 2060. It is therefore urgent to take appropriate actions to reduce the overall greenhouse gas emissions from aluminium production and increase resource efficiency along the entire aluminium life cycle. Under such circumstances, this study aims to explore China's aluminium recycling potential through dynamic material flow analysis for the period of 2000–2019, covering its whole life cycle and including relevant international trade activities. An entropy analysis method is also applied to identify optimal pathways to improve aluminum resource efficiency and circularity. Results indicate that China has experienced fast growth of aluminum production and consumption during the last two decades, with its output of primary aluminium increasing from 4.18 Mt in 2000 to 35.11 Mt in 2019 and its aluminium consumption increasing from 2.99 Mt in 2000 to 32.5 Mt in 2019. Such rapid growth has resulted in significant environmental impacts. For instance, environmental loss of aluminium at the production stage accounted for 46% of the total loss throughout its entire life cycle in 2000, while such a rate increased to 69% in 2019. As such, entropy analysis results reflect that at the stage of waste management, the relative entropy of aluminium is rising, which indicates that any pollutants discharged into the environment will cause significant damage. Scenarios analysis results further help to identify the optimal pathway of aluminium metabolism system. Finally, several policy recommendations are proposed to improve the overall aluminium resource efficiency.

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