IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v6y2014i6p3669-3685d36843.html
   My bibliography  Save this article

Insights into the Regional Greenhouse Gas (GHG) Emission of Industrial Processes: A Case Study of Shenyang, China

Author

Listed:
  • Zuoxi Liu

    (Key Lab of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 10016, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Huijuan Dong

    (Key Lab of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 10016, China)

  • Yong Geng

    (Key Lab of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 10016, China)

  • Chengpeng Lu

    (Key Lab of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 10016, China)

  • Wanxia Ren

    (Key Lab of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 10016, China)

Abstract

This paper examines the GHG emission of industrial process in Shenyang city, in the Liaoning province of China, using the 2006 IPCC greenhouse gas inventory guideline. Results show that the total GHG emissions of industrial process has increased, from 1.48 Mt in 2004 to 4.06 Mt in 2009, except for a little decrease in 2008. The cement industry, and iron and steel industries, are the main emission sources, accounting for more than 90% of the total carbon emissions. GHG emissions in 2020 are estimated based on scenario analysis. The research indicates that the cement industry, and iron and steel industries, will still be the largest emission sources, and the total carbon emissions under the business as usual (BAU) scenario will be doubled in 2020 compared with that of 2009. However, when countermeasures are taken, the GHG emission will reduce significantly. Using more clinker substitutes for blended cement, and increasing direct reduction iron process and recycled steel scraps are efficient measures in reducing GHG emission. Scenario 4, which has the highest ratio of 30/70 blended cement and the highest ratio of steel with recycled steel-EAF process, is the best one. In this scenario, the industrial process GHG emission in 2020 can almost stay the same as that of 2009. From the perspective of regions, cement industry and iron and steel industry accounted for the vast majority of GHG emission in all industries. Meanwhile, these two industries become the most potential industries for reduction of GHG emission. This study provides an insight for GHG emission of different industries at the scale of cities in China.

Suggested Citation

  • Zuoxi Liu & Huijuan Dong & Yong Geng & Chengpeng Lu & Wanxia Ren, 2014. "Insights into the Regional Greenhouse Gas (GHG) Emission of Industrial Processes: A Case Study of Shenyang, China," Sustainability, MDPI, vol. 6(6), pages 1-17, June.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:6:p:3669-3685:d:36843
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/6/6/3669/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/6/6/3669/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, Cheng F. & Lin, Sue J., 2001. "Structural decomposition of CO2 emissions from Taiwan's petrochemical industries," Energy Policy, Elsevier, vol. 29(3), pages 237-244, February.
    2. Liaskas, K. & Mavrotas, G. & Mandaraka, M. & Diakoulaki, D., 2000. "Decomposition of industrial CO2 emissions:: The case of European Union," Energy Economics, Elsevier, vol. 22(4), pages 383-394, August.
    3. Ma, Zhixiao & Xue, Bing & Geng, Yong & Ren, Wanxia & Fujita, Tsuyoshi & Zhang, Zilong & Puppim de Oliveira, Jose A. & Jacques, David A. & Xi, Fengming, 2013. "Co-benefits analysis on climate change and environmental effects of wind-power: A case study from Xinjiang, China," Renewable Energy, Elsevier, vol. 57(C), pages 35-42.
    4. Geng, Yong & Zhao, Hongyan & Liu, Zhu & Xue, Bing & Fujita, Tsuyoshi & Xi, Fengming, 2013. "Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning," Energy Policy, Elsevier, vol. 60(C), pages 820-826.
    5. Kim, Yeonbae & Worrell, Ernst, 2002. "International comparison of CO2 emission trends in the iron and steel industry," Energy Policy, Elsevier, vol. 30(10), pages 827-838, August.
    6. Tian, Yihui & Zhu, Qinghua & Geng, Yong, 2013. "An analysis of energy-related greenhouse gas emissions in the Chinese iron and steel industry," Energy Policy, Elsevier, vol. 56(C), pages 352-361.
    7. Lin, Sue J. & Lu, I.J. & Lewis, Charles, 2006. "Identifying key factors and strategies for reducing industrial CO2 emissions from a non-Kyoto protocol member's (Taiwan) perspective," Energy Policy, Elsevier, vol. 34(13), pages 1499-1507, September.
    8. Cai, Wenjia & Wang, Can & Wang, Ke & Zhang, Ying & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's electricity sector," Energy Policy, Elsevier, vol. 35(12), pages 6445-6456, December.
    9. Kirschen, Marcus & Risonarta, Victor & Pfeifer, Herbert, 2009. "Energy efficiency and the influence of gas burners to the energy related carbon dioxide emissions of electric arc furnaces in steel industry," Energy, Elsevier, vol. 34(9), pages 1065-1072.
    10. Akashi, Osamu & Hanaoka, Tatsuya & Matsuoka, Yuzuru & Kainuma, Mikiko, 2011. "A projection for global CO2 emissions from the industrial sector through 2030 based on activity level and technology changes," Energy, Elsevier, vol. 36(4), pages 1855-1867.
    11. Wang, Ke & Wang, Can & Lu, Xuedu & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's iron and steel industry," Energy Policy, Elsevier, vol. 35(4), pages 2320-2335, April.
    12. Sheinbaum, Claudia & Ozawa, Leticia & Castillo, Daniel, 2010. "Using logarithmic mean Divisia index to analyze changes in energy use and carbon dioxide emissions in Mexico's iron and steel industry," Energy Economics, Elsevier, vol. 32(6), pages 1337-1344, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zuoxi Liu & Yongyang Wang & Shanshan Wang & Huijuan Dong & Yong Geng & Bing Xue & Jiaming Gu & Run Dong Li & Tianhua Yang, 2018. "An Emergy and Decomposition Assessment of China’s Crop Production: Sustainability and Driving Forces," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    2. Haijun Zhao & Weichun Ma & Hongjia Dong & Ping Jiang, 2017. "Analysis of Co-Effects on Air Pollutants and CO 2 Emissions Generated by End-of-Pipe Measures of Pollution Control in China’s Coal-Fired Power Plants," Sustainability, MDPI, vol. 9(4), pages 1-19, March.
    3. Shan, Yuli & Liu, Zhu & Guan, Dabo, 2016. "CO2 emissions from China’s lime industry," Applied Energy, Elsevier, vol. 166(C), pages 245-252.
    4. Inha Oh & Yeongjun Yeo & Jeong-Dong Lee, 2015. "Efficiency versus Equality: Comparing Design Options for Indirect Emissions Accounting in the Korean Emissions Trading Scheme," Sustainability, MDPI, vol. 7(11), pages 1-21, November.
    5. Nadiia Charkovska & Mariia Halushchak & Rostyslav Bun & Zbigniew Nahorski & Tomohiro Oda & Matthias Jonas & Petro Topylko, 2019. "A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 907-939, August.
    6. Xin Li & Xiandan Cui & Minxi Wang, 2017. "Analysis of China’s Carbon Emissions Base on Carbon Flow in Four Main Sectors: 2000–2013," Sustainability, MDPI, vol. 9(4), pages 1-13, April.
    7. Ye Duan & Hailin Mu & Nan Li, 2016. "Analysis of the Relationship between China’s IPPU CO 2 Emissions and the Industrial Economic Growth," Sustainability, MDPI, vol. 8(5), pages 1-19, April.

    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. 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.
    2. Ye Duan & Hailin Mu & Nan Li, 2016. "Analysis of the Relationship between China’s IPPU CO 2 Emissions and the Industrial Economic Growth," Sustainability, MDPI, vol. 8(5), pages 1-19, April.
    3. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    4. Kermeli, Katerina & Edelenbosch, Oreane Y. & Crijns-Graus, Wina & van Ruijven, Bas J. & van Vuuren, Detlef P. & Worrell, Ernst, 2022. "Improving material projections in Integrated Assessment Models: The use of a stock-based versus a flow-based approach for the iron and steel industry," Energy, Elsevier, vol. 239(PE).
    5. An, Runying & Yu, Biying & Li, Ru & Wei, Yi-Ming, 2018. "Potential of energy savings and CO2 emission reduction in China’s iron and steel industry," Applied Energy, Elsevier, vol. 226(C), pages 862-880.
    6. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    7. Li Li & Yalin Lei & Dongyang Pan, 2016. "Study of CO 2 emissions in China’s iron and steel industry based on economic input–output life cycle assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 957-970, March.
    8. Hsu, Chung-Chun & Lo, Shang-Lien, 2017. "The potential for carbon abatement in Taiwan’s steel industry and an analysis of carbon abatement trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1312-1323.
    9. Ke Wang & Linan Che & Chunbo Ma & Yi-Ming Wei, 2017. "The Shadow Price of CO2 Emissions in China's Iron and Steel Industry," CEEP-BIT Working Papers 105, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    10. Wang, Peng & Jiang, Zeyi & Geng, Xinyi & Hao, Shiyu & Zhang, Xinxin, 2014. "Quantification of Chinese steel cycle flow: Historical status and future options," Resources, Conservation & Recycling, Elsevier, vol. 87(C), pages 191-199.
    11. 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.
    12. Yuhuan Zhao & Hao Li & Zhonghua Zhang & Yongfeng Zhang & Song Wang & Ya Liu, 2017. "Decomposition and scenario analysis of CO2 emissions in China’s power industry: based on LMDI method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(2), pages 645-668, March.
    13. Vögele, Stefan & Grajewski, Matthias & Govorukha, Kristina & Rübbelke, Dirk, 2020. "Challenges for the European steel industry: Analysis, possible consequences and impacts on sustainable development," Applied Energy, Elsevier, vol. 264(C).
    14. Li, Huanan & Wei, Yi-Ming, 2015. "Is it possible for China to reduce its total CO2 emissions?," Energy, Elsevier, vol. 83(C), pages 438-446.
    15. Li, Zhaoling & Dai, Hancheng & Song, Junnian & Sun, Lu & Geng, Yong & Lu, Keyu & Hanaoka, Tatsuya, 2019. "Assessment of the carbon emissions reduction potential of China's iron and steel industry based on a simulation analysis," Energy, Elsevier, vol. 183(C), pages 279-290.
    16. Chang, Yih F. & Lewis, Charles & Lin, Sue J., 2008. "Comprehensive evaluation of industrial CO2 emission (1989-2004) in Taiwan by input-output structural decomposition," Energy Policy, Elsevier, vol. 36(7), pages 2471-2480, July.
    17. Juntueng, Sirintip & Towprayoon, Sirintornthep & Chiarakorn, Siriluk, 2014. "Energy and carbon dioxide intensity of Thailand's steel industry and greenhouse gas emission projection toward the year 2050," Resources, Conservation & Recycling, Elsevier, vol. 87(C), pages 46-56.
    18. van Ruijven, Bas J. & van Vuuren, Detlef P. & Boskaljon, Willem & Neelis, Maarten L. & Saygin, Deger & Patel, Martin K., 2016. "Long-term model-based projections of energy use and CO2 emissions from the global steel and cement industries," Resources, Conservation & Recycling, Elsevier, vol. 112(C), pages 15-36.
    19. Xu, Bin & Lin, Boqiang, 2016. "Regional differences in the CO2 emissions of China's iron and steel industry: Regional heterogeneity," Energy Policy, Elsevier, vol. 88(C), pages 422-434.
    20. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.

    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:gam:jsusta:v:6:y:2014:i:6:p:3669-3685:d:36843. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.