IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v24y2022i12d10.1007_s10668-021-02009-4.html
   My bibliography  Save this article

Clean technology investment considering synergistic effects: a case from the steel sintering process

Author

Listed:
  • Jianxin Guo

    (Chinese Academy of Sciences)

  • Xianchun Tan

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Xiaoyan Meng

    (Chinese Academy of Sciences)

  • Yanping Li

    (Chinese Research Academy of Environmental Sciences)

Abstract

The dual objectives of air pollutant control and carbon emission reduction highlight the importance of determining investment methods in end-of-pipe (EOP) technology to achieve cost optimization goals. This paper aims to bridge the gap between the cooperative control theory and practical applications. We propose a framework using optimal control theory to obtain a technology investment path while considering the two-way synergy effect. To verify the effectiveness of the model, we considered three typical technologies in ultra-low emission transformation of a certain steel process. The used case in the study set the emission reduction of $${\mathrm{SO}}_2$$ SO 2 , $${\mathrm{NO}}_x$$ NO x and $${\mathrm{CO}}_2$$ CO 2 as 55%, 70% and 80% compared to their basic cases, respectively. Considering the synergy effect, the peaks of the installed capacity of three technologies including carbon capture, denitrification, and desulfurization were obtained as 0.12 million tons, 5 million tons, and 15 million tons. Also, the related net emissions for the pollutant were 300, 400, and 1000 million tons. We found that terminal desulfurization and denitrification technology increase $${\mathrm{CO}}_2$$ CO 2 emissions accounting for about 2% due to the negative synergy. However, the negative emission contribution from carbon abatement technology is greater accounting for about 40%. We also found that different policy objectives and emission factors have a greater impact on the investment path. These results demonstrate that we cannot completely ignore the negative emission reduction effects when adopting these EOP technologies. It is necessary to reevaluate these negative effects to the greatest extent so as to develop a more reasonable technological path, which is a guarantee for achieving the expected emission reduction targets.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:endesu:v:24:y:2022:i:12:d:10.1007_s10668-021-02009-4
    DOI: 10.1007/s10668-021-02009-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-02009-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-021-02009-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Audoly, Richard & Vogt-Schilb, Adrien & Guivarch, Céline & Pfeiffer, Alexander, 2018. "Pathways toward zero-carbon electricity required for climate stabilization," Applied Energy, Elsevier, vol. 225(C), pages 884-901.
    2. Timo Kuosmanen & Marita Laukkanen, 2011. "(In)Efficient Environmental Policy with Interacting Pollutants," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(4), pages 629-649, April.
    3. Rozenberg, Julie & Vogt-Schilb, Adrien & Hallegatte, Stephane, 2020. "Instrument choice and stranded assets in the transition to clean capital," Journal of Environmental Economics and Management, Elsevier, vol. 100(C).
    4. Chenavaz, Régis, 2012. "Dynamic pricing, product and process innovation," European Journal of Operational Research, Elsevier, vol. 222(3), pages 553-557.
    5. Ambec, Stefan & Coria, Jessica, 2013. "Prices vs quantities with multiple pollutants," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 123-140.
    6. Ling Tang & Jiabao Qu & Zhifu Mi & Xin Bo & Xiangyu Chang & Laura Diaz Anadon & Shouyang Wang & Xiaoda Xue & Shibei Li & Xin Wang & Xiaohong Zhao, 2019. "Substantial emission reductions from Chinese power plants after the introduction of ultra-low emissions standards," Nature Energy, Nature, vol. 4(11), pages 929-938, November.
    7. Guo, Jian-Xin & Zhu, Lei & Fan, Ying, 2016. "Emission path planning based on dynamic abatement cost curve," European Journal of Operational Research, Elsevier, vol. 255(3), pages 996-1013.
    8. Renaud Coulomb & Oskar Lecuyer & Adrien Vogt-Schilb, 2019. "Optimal Transition from Coal to Gas and Renewable Power Under Capacity Constraints and Adjustment Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(2), pages 557-590, June.
    9. Fullerton, Don & Karney, Daniel H., 2018. "Multiple pollutants, co-benefits, and suboptimal environmental policies," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 52-71.
    10. Ma, Ding & Chen, Wenying & Yin, Xiang & Wang, Lining, 2016. "Quantifying the co-benefits of decarbonisation in China’s steel sector: An integrated assessment approach," Applied Energy, Elsevier, vol. 162(C), pages 1225-1237.
    11. Hui Li & Xianchun Tan & Jianxin Guo & Kaiwei Zhu & Chen Huang, 2019. "Study on an Implementation Scheme of Synergistic Emission Reduction of CO 2 and Air Pollutants in China’s Steel Industry," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    12. Moslener, Ulf & Requate, Till, 2007. "Optimal abatement in dynamic multi-pollutant problems when pollutants can be complements or substitutes," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2293-2316, July.
    13. 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.
    14. Pan, Xiaojun & Li, Shoude, 2016. "Dynamic optimal control of process–product innovation with learning by doing," European Journal of Operational Research, Elsevier, vol. 248(1), pages 136-145.
    15. John K. Stranlund & Insung Son, 2019. "Prices Versus Quantities Versus Hybrids in the Presence of Co-pollutants," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(2), pages 353-384, June.
    16. Jorge Bonilla & Jessica Coria & Thomas Sterner, 2018. "Technical Synergies and Trade-Offs Between Abatement of Global and Local Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 191-221, May.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fabio Antoniou & Efthymia Kyriakopoulou, 2019. "On the Strategic Effect of International Permits Trading on Local Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1299-1329, November.
    2. John K. Stranlund & Insung Son, 2019. "Prices Versus Quantities Versus Hybrids in the Presence of Co-pollutants," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(2), pages 353-384, June.
    3. Reeling, Carson & Garnache, Cloé & Horan, Richard, 2018. "Efficiency gains from integrated multipollutant trading," Resource and Energy Economics, Elsevier, vol. 52(C), pages 124-136.
    4. Guy Meunier, 2015. "Prices vs. quantities in presence of a second, unpriced, externality," Working Papers hal-01242040, HAL.
    5. Gautier Luis, 2019. "The Role of Multiple Pollutants and Pollution Intensities in the Policy Reform of Taxes and Standards," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(3), pages 1-20, July.
    6. Zhang, Xiao-Bing & Xu, Jing, 2018. "Optimal policies for climate change: A joint consideration of CO2 and methane," Applied Energy, Elsevier, vol. 211(C), pages 1021-1029.
    7. Geiger, Charlotte & Lehmann, Paul, 2021. "Managing the spatial externalities of renewable energy deployment: Uniform vs. differentiated regulation," UFZ Discussion Papers 1/2021, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    8. Ambec, Stefan & Coria, Jessica, 2015. "Strategic environmental regulation of multiple pollutants," Working Papers in Economics 626, University of Gothenburg, Department of Economics.
    9. Ambec, Stefan & Coria, Jessica, 2018. "Policy spillovers in the regulation of multiple pollutants," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 114-134.
    10. Jing Xu, 2018. "International environmental agreements with agenda and interaction between pollutants," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(2), pages 153-174, April.
    11. Hui Li & Xianchun Tan & Jianxin Guo & Kaiwei Zhu & Chen Huang, 2019. "Study on an Implementation Scheme of Synergistic Emission Reduction of CO 2 and Air Pollutants in China’s Steel Industry," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    12. Ni, Jian & Zhao, Jun & Chu, Lap Keung, 2021. "Supply contracting and process innovation in a dynamic supply chain with information asymmetry," European Journal of Operational Research, Elsevier, vol. 288(2), pages 552-562.
    13. Xuan, Yanni & Yue, Qiang, 2017. "Scenario analysis on resource and environmental benefits of imported steel scrap for China’s steel industry," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 186-198.
    14. Pauli Lappi & Markku Ollikainen, 2019. "Optimal Environmental Policy for a Mine Under Polluting Waste Rocks and Stock Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 133-158, May.
    15. Yongsheng Lin & Zhe Liu & Rui Liu & Xiaoman Yu & Liming Zhang, 2020. "Uncovering driving forces of co-benefits achieved by eco-industrial development strategies at the scale of industrial park," Energy & Environment, , vol. 31(2), pages 275-290, March.
    16. Cahen-Fourot, Louison & Campiglio, Emanuele & Godin, Antoine & Kemp-Benedict, Eric & Trsek, Stefan, 2021. "Capital stranding cascades: The impact of decarbonisation on productive asset utilisation," Energy Economics, Elsevier, vol. 103(C).
    17. World Bank Group, 2018. "Strategic Use of Climate Finance to Maximize Climate Action," World Bank Publications - Reports 30475, The World Bank Group.
    18. Guo, Jian-Xin & Huang, Chen, 2020. "Feasible roadmap for CCS retrofit of coal-based power plants to reduce Chinese carbon emissions by 2050," Applied Energy, Elsevier, vol. 259(C).
    19. S. Hati & K. Maity, 2023. "Product process innovation model of fuzzy optimal control of nonlinear system with finite time horizon under granular differentiability concept," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 753-775, June.
    20. Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina & Krol, Maarten & de Bruine, Marco & Geng, Guangpo & Wagner, Fabian & Cofala, Janusz, 2016. "Modeling energy efficiency to improve air quality and health effects of China’s cement industry," Applied Energy, Elsevier, vol. 184(C), pages 574-593.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:24:y:2022:i:12:d:10.1007_s10668-021-02009-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.