Journal Home > Volume 1 , Issue 1

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.


menu
Abstract
Full text
Outline
About this article

Improving aluminium resource efficiency in China: Based upon material flow analysis and entropy analysis

Show Author's information Guimei Zhaoa,bYong Genga,c,d( )Chao TangaHan HaoeRaimund Bleischwitzf,g( )Xu Tianc
School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200030, China
China University of Mining and Technology, Xuzhou 221116, China
State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
Institute for Sustainable Resources, Bartlett School of Environment, Energy and Resources, University College London, Central House, 14 Upper Woburn Place, London, WC1H0NN, United Kingdom
Leibniz Centre for Tropical Marine Research (ZMT), Bremen, Germany

Abstract

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.

Keywords: China, Aluminium life cycle, Material flow analysis, Entropy analysis, Resource efficiency

References(45)

Ali, S. H., Giurco, D., Arndt, N., Nickless, E., Brown, G., Demetriades, A., Durrheim, R., Enriquez, M. A., Kinnaird, J., Littleboy, A., et al. (2017). Mineral supply for sustainable development requires resource governance. Nature, 543, 367-372.

Bertram, M., Ramkumar, S., Rechberger, H., Rombach, G., Bayliss, C., Martchek, K. J., Mullerb, D., & Liu, G. (2017). A regionally-linked, dynamic material flow modelling tool for rolled, extruded and cast aluminium products. Resources, Conservation and Recycling, 125, 48-69.

Bleischwitz, R., Nechifor, V., Winning, M., Huang, B. J., Geng, Y. (2018a). Extrapolation or saturation-Revisiting growth patterns, development stages and decoupling. Global Environmental Change, 48, 86-96.

Bleischwitz, R., Spataru, C., VanDeveer, S. D., Obersteiner, M., van der Voet, E., Johnson, C., Andrews-Speed, P., Boersma, T., Hoff, H.,& van Vuuren, D. P. (2018b). Resource nexus perspectives towards the United Nations Sustainable Development Goals. Nature Sustainability, 1, 737-743.

Blomberg, J., & Söderholm, P. (2009). The economics of secondary aluminium supply: An econometric analysis based on European data. Resources, Conservation and Recycling, 53, 455-463.

Chen, W. Q., & Graedel, T. E. (2012). Dynamic analysis of aluminum stocks and flows in the United States: 1900-2009. Ecological Economics, 81, 92-102.

Chen, W. J., Nie, Z. R., Wang, Z. H., Gong, X. Z., Sun, B. X., Gao, F., & Liu, Y. (2018). Substance flow analysis of neodymium based on the generalized entropy in China. Resources, Conservation and Recycling, 133, 438-443.

Chen, W., Shi, L., & Qian, Y. (2010). Substance flow analysis of aluminium in mainland China for 2001, 2004 and 2007: Exploring its initial sources, eventual sinks and the pathways linking them. Resources, Conservation and Recycling, 54, 557-570.

Cullen, J. M., & Allwood, J. M. (2013). Mapping the global flow of aluminum: From liquid aluminum to end-use goods. Environmental Science & Technology, 47, 3057-3064.

Eheliyagoda, D., Li, J. H., Geng, Y., & Zeng, X. L. (2022). The role of China's aluminum recycling on sustainable resource and emission pathways. Resources Policy, 76, 102552.

Erdmann, L., & Hilty, L. M. (2010). Scenario analysis. Journal of Industrial Ecology, 14, 826-843.

Geng, J. X., Hao, H., Sun, X., Xun, D. Y., Liu, Z. W., & Zhao, F. Q. (2021). Static material flow analysis of neodymium in China. Journal of Industrial Ecology, 25, 114-124.

Geng, Y., Sarkis, J., & Bleischwitz, R. (2019). How to globalize the circular economy. Nature, 565, 153-155.

Geng, Y., Sarkis, J., & Ulgiati, S. (2016). Sustainability, well-being, and the circular economy in China and worldwide. Science, 6278, 73-76.

Geng, Y., Sarkis, J., Ulgiati, S., & Zhang, P. (2013). Measuring China's circular economy. Science, 339, 1526-1527.

Graedel, T. E., Harper, E. M., Nassar, N. T., Nuss, P., & Reck, B. K. (2015). Criticality of metals and metalloids. Proceedings of the National Academy of Sciences, 112, 4257-4262.

Gulley, A. L., Nassar, N. T., & Xun, S. A. (2018). China, the United States, and competition for resources that enable emerging technologies. Proceedings of the National Academy of Sciences of the United States of America, 115, 4111-4115.

Hao, H., Geng, Y., & Hang, W. (2016). GHG emissions from primary aluminum production in China: Regional disparity and policy implications. Applied Energy, 166, 264-272.

Hoornweg, D., Bhada-Tata, P., & Kennedy, C. (2013). Environment: Waste production must peak this century. Nature, 502, 615-617.

Jha, V. K., Agnihotri, A., Sharma, R. J., & Chaddha, M. J. (2018). Mathematical model for estimating variation in specific energy consumption with respect to capacity utilization for aluminum smelting plant. Energy Efficiency, 11, 773-776.

Li, Q. F., Dai, T., Gao, T. M., Zhong, W. Q., Wen, B. J., Li, T. J., & Zhou, Y. J. (2021). Aluminum material flow analysis for production, consumption, and trade in China from 2008 to 2017. Journal of Cleaner Production, 296, 126444.

Li, A. J., Liu, Y. H., Chen, G. S., & Hu, M. M. (2019). Scenario analysis of low-carbon development of energy industry with restriction of water resource in Xinjiang. Journal of Water and Climate Change, 10, 263-275.

Lin, B. Q., & Xu, L. (2015). Energy conservation of electrolytic aluminum industry in China. Renewable and Sustainable Energy Reviews, 43, 676-686.

Liu, G., Bangs, C. E., & Muller, D. B. (2013). Stock dynamics and emission pathways of the global aluminium cycle. Nature Climate Change, 3, 338-342.

Li, Y., Yue, Q., He, J. H., Zhao, F., & Wang, H. M. (2020). When will the arrival of China's secondary aluminum era? Resources Policy, 65, 101573.

Mahinroosta, M., & Allahverdi, A. (2018). Hazardous aluminum dross characterization and recycling strategies: A critical review. Journal of environmental management, 223, 452-468.

Meng, M., Jing, K. Q., & Mander, S. (2017). Scenario analysis of CO2 emissions from China's electric power industry. Journal of Cleaner Production, 142, 3101-3108.

Milford, R. L., Allwood, J. M., & Cullen, J. M. (2011). Assessing the potential of yield improvements, through process scrap reduction, for energy and CO2 abatement in the steel and aluminium sectors. Resources, Conservation and Recycling, 55, 1185-1195.

Milovanoff, A., Posen, I. D., & MacLean, H. L. (2021). Quantifying environmental impacts of primary aluminum ingot production and consumption: A trade-linked multilevel life cycle assessment. Journal of Industrial Ecology, 25, 67-78.

Munoz, I., Soto, A., Maza, D., & Bayon, F. (2020). Life cycle assessment of refractory waste management in a Spanish steel works. Waste Management, 111, 1-9.

Nakajima, K., Takeda, O., Miki, T., Matsubae, K., Nakamura, S., & Nagasaka, T. (2010). Thermodynamic analysis of contamination by alloying elements in aluminum recycling. Environmental Science & Technology, 44, 5594-5600.

Orians, K. J., & Bruland, K. W. (1985). Dissolved aluminium in the central North Pacific. Nature, 316, 427-429.

Owens, B. (2013). Mining: extreme prospects. Nature, 495, S4-S6.

Parchomenko, A., Nelen, D., Gillabel, J., Vrancken, K. C., & Rechberger, H. (2020). Evaluation of the resource effectiveness of circular economy strategies through multilevel Statistical Entropy Analysis. Resources, Conservation and Recycling, 161, 104925.

Rechberger, H., & Brunner, P. H. (2002). A new, entropy based method to support waste and resource management decisions. Environmental Science & Technology, 36, 809-816.

Rechberger, H., & Graedel, T. E. (2002). The contemporary European copper cycle: Statistical entropy analysis. Ecological Economics, 42, 59-72.

Reck, B. K., & Graedel, T. E. (2012). Challenges in metal recycling. Science, 337, 690-695.

Song, H. L., Wang, C., Sen, B., & Liu, G. (2022). China factor: Exploring the byproduct and host metal dynamics for gallium-aluminum in a global green transition. Environmental Science & Technology, 56, 2699-2708.

Sovacool, B. K., Ali, S. H., Bazilian, M., Radley, B., Nemery, B., Okatz, J., & Mulvaney, D. (2020). Sustainable minerals and metals for a low-carbon future. Science, 367, 30-33.

Wiedenhofer, D., Fishman, T., Lauk, C., Haas, W., & Krausmann, F. (2019). Integrating material stock dynamics into economy-wide material flow accounting: concepts, modelling, and global application for 1900-2050. Ecological Economics, 156, 121-133.

Yuan, Y., Yellishetty, M., Munoz, M. A., & Northey, S. A. (2019). Toward a dynamic evaluation of mineral criticality: Introducing the framework of criticality systems. Journal of Industrial Ecology, 23, 1264-1277.

Yue, Q., Bu, Q. C., Li, X., Zhao, F., He, J. H., & Li, Y. (2021). Value chain and statistical entropy analyses based on iron flows in China during 1990-2015. Journal of Iron and Steel Research International, 28, 938-948.

Yue, Q., Lu, Z. W., & Zhi, S. K. (2009). Copper cycle in China and its entropy analysis. Resources, Conservation and Recycling, 53, 680-687.

Zeng, X. L., & Li, J. H. (2021). Emerging anthropogenic circularity science: Principles, practices, and challenges. iScience, 24, 102237.

Zhang, X., Geng, Y., Tong, Y. W., Kua, H. W., Dong, H. J., & Pan, H. Y. (2021). Trends and driving forces of low-carbon energy technology innovation in China's industrial sectors from 1998 to 2017: From a regional perspective. Frontiers in Energy, 15, 473-486.

Publication history
Copyright
Acknowledgements
Rights and permissions

Publication history

Received: 07 February 2022
Revised: 03 March 2022
Accepted: 05 March 2022
Published: 22 June 2022
Issue date: September 2022

Copyright

© 2022 The Author(s). Published by Elsevier B.V. on behalf of Tsinghua University Press.

Acknowledgements

Acknowledgements

This study was financially supported by the National Key R & D Program of China (2019YFC1908501), the National Natural Science Foundation of China (72088101, 71810107001, 71690241), the Fundamental Research Funds for the China Postdoctoral Science Foundation (2018M641989), the Jiangsu Province Philosophy and Social Science Foundation (2020SJA2358), and the Jiangsu Province Higher Education Association Program (2020-C28, 2021JSJG618), the China Scholarship Council Program (202008320101), the Blue Project of Jiangsu Province in China (2021), UKRI/EPSRC grant on Circular Metals (EP/V011804/1). The authors are grateful for the comments from the anonymous reviewers of this paper.

Rights and permissions

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Return