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Scenario Analysis of Sulfur Dioxide Emissions Reduction Potential in China's Iron and Steel Industry

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  • Shuhua Ma
  • Zongguo Wen
  • Jining Chen

Abstract

Acid rain remains an important environmental problem. The Chinese steel industry is becoming a key domestic emitter of sulfur dioxide (SO2), the central molecular component of acid rain. In this study SO2 emission potential is assessed by developing a material flow analysis (MFA) model and generating four different SO2 industry emission scenarios from 2006 to 2030, with each scenario representing a possible development path for the industry. When SO2 emission factors in every unit of steel production are presumed to remain constant through 2030, scenario analysis results show that under a business‐as‐usual (BAU) scenario SO2 emissions will experience sustained growth to a peak value of 1.73 million metric tons (megatons, Mt) through 2020, approximately 52% higher than that in 2006, and that this trend is unlikely to be reversed. The high scenario and medium scenario demonstrate that it is difficult to control SO2 emissions to an acceptable level by only upgrading technology and making industrial structural adjustments. Yet through the incorporation of sintering gas desulfurization, the low scenario can smoothly bridge the gap between the simulative SO2 emissions and the envisioned value, since sintering is the biggest emitter in this industry. Once the desulfurization rate of sintering gas reaches 60%, SO2 emissions will be less than the level of 0.60 Mt in 2030 and will also meet the reduction goals. Moreover, scenario analysis suggests that single terminal control cannot solve the problem of high SO2 emissions. Therefore, in order to control the total SO2 emissions of the steel industry it is imperative that two or more measures be combined.

Suggested Citation

  • Shuhua Ma & Zongguo Wen & Jining Chen, 2012. "Scenario Analysis of Sulfur Dioxide Emissions Reduction Potential in China's Iron and Steel Industry," Journal of Industrial Ecology, Yale University, vol. 16(4), pages 506-517, August.
  • Handle: RePEc:bla:inecol:v:16:y:2012:i:4:p:506-517
    DOI: 10.1111/j.1530-9290.2011.00418.x
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    Cited by:

    1. Wei Meng & Daoli Yang & Hui Huang, 2018. "Prediction of China’s Sulfur Dioxide Emissions by Discrete Grey Model with Fractional Order Generation Operators," Complexity, Hindawi, vol. 2018, pages 1-13, January.
    2. Jianxin Guo & Xianchun Tan & Xiaoyan Meng & Yanping Li, 2022. "Clean technology investment considering synergistic effects: a case from the steel sintering process," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13748-13770, December.
    3. Pengyan Zhang & Yu Zhang & Jay Lee & Yanyan Li & Jiaxin Yang & Wenliang Geng & Ying Liu & Tianqi Rong & Jingwen Shao & Bin Li, 2020. "Characteristics of the Spatio-Temporal Trends and Driving Factors of Industrial Development and Industrial SO 2 Emissions Based on Niche Theory: Taking Henan Province as an Example," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    4. Wu, Jinxi & Yang, Jie & Ma, Linwei & Li, Zheng & Shen, Xuesi, 2016. "A system analysis of the development strategy of iron ore in China," Resources Policy, Elsevier, vol. 48(C), pages 32-40.
    5. Kanada, Momoe & Dong, Liang & Fujita, Tsuyoshi & Fujii, Minoru & Inoue, Tsuyoshi & Hirano, Yujiro & Togawa, Takuya & Geng, Yong, 2013. "Regional disparity and cost-effective SO2 pollution control in China: A case study in 5 mega-cities," Energy Policy, Elsevier, vol. 61(C), pages 1322-1331.
    6. Fujii, Hidemichi & Managi, Shunsuke & Kaneko, Shinji, 2019. "Decomposition analysis of air pollution abatement in China: Empirical study for ten industrial sectors from 1998 to 2009," MPRA Paper 92234, University Library of Munich, Germany.
    7. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
    8. Wang, Chunyan & Wang, Ranran & Hertwich, Edgar & Liu, Yi, 2017. "A technology-based analysis of the water-energy-emission nexus of China’s steel industry," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 116-128.
    9. Che-Jung Chang & Guiping Li & Shao-Qing Zhang & Kun-Peng Yu, 2019. "Employing a Fuzzy-Based Grey Modeling Procedure to Forecast China’s Sulfur Dioxide Emissions," IJERPH, MDPI, vol. 16(14), pages 1-10, July.
    10. Sheng Zhou & Alun Gu & Qing Tong & Yuefeng Guo & Xinyang Wei, 2022. "Multi‐scenario simulation on reducing CO2 emissions from China's major manufacturing industries targeting 2060," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 850-861, June.
    11. Chen, Jiandong & Huang, Shasha & Shen, Zhiyang & Song, Malin & Zhu, Zunhong, 2022. "Impact of sulfur dioxide emissions trading pilot scheme on pollution emissions intensity: A study based on the synthetic control method," Energy Policy, Elsevier, vol. 161(C).
    12. Schmidt, Sebastian & Kinne, Jan & Lautenbach, Sven & Blaschke, Thomas & Lenz, David & Resch, Bernd, 2022. "Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining," ZEW Discussion Papers 22-006, ZEW - Leibniz Centre for European Economic Research.
    13. Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina & Wagner, Fabian & Cofala, Janusz, 2014. "Co-benefits of energy efficiency improvement and air pollution abatement in the Chinese iron and steel industry," Energy, Elsevier, vol. 78(C), pages 333-345.

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