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A bottom-up model to estimate the energy efficiency improvement and CO2 emission reduction potentials in the Chinese iron and steel industry

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Cited by:

  1. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2019. "The sustainability of China’s metal industries: features, challenges and future focuses," Resources Policy, Elsevier, vol. 60(C), pages 215-224.
  2. Stefan Vögele & Dirk Rübbelke & Kristina Govorukha & Matthias Grajewski, 2020. "Socio-technical scenarios for energy-intensive industries: the future of steel production in Germany," Climatic Change, Springer, vol. 162(4), pages 1763-1778, October.
  3. Peng, Bin-Bin & Xu, Jin-Hua & Fan, Ying, 2018. "Modeling uncertainty in estimation of carbon dioxide abatement costs of energy-saving technologies for passenger cars in China," Energy Policy, Elsevier, vol. 113(C), pages 306-319.
  4. Moreno, Blanca & García-Álvarez, María Teresa & Fonseca, Ana Rosa, 2017. "Fuel prices impacts on stock market of metallurgical industry under the EU emissions trading system," Energy, Elsevier, vol. 125(C), pages 223-233.
  5. Sun, Yongqi & Shen, Hongwei & Wang, Hao & Wang, Xidong & Zhang, Zuotai, 2014. "Experimental investigation and modeling of cooling processes of high temperature slags," Energy, Elsevier, vol. 76(C), pages 761-767.
  6. Hu, Xueyue & Wang, Chunying & Elshkaki, Ayman, 2024. "Material-energy Nexus: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
  7. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
  8. Shuangping Wu & Anjun Xu, 2021. "Calculation Method of Energy Saving in Process Engineering: A Case Study of Iron and Steel Production Process," Energies, MDPI, vol. 14(18), pages 1-15, September.
  9. Xiong, Weiming & Wang, Yu & Mathiesen, Brian Vad & Lund, Henrik & Zhang, Xiliang, 2015. "Heat roadmap China: New heat strategy to reduce energy consumption towards 2030," Energy, Elsevier, vol. 81(C), pages 274-285.
  10. Levihn, F. & Nuur, C. & Laestadius, S., 2014. "Marginal abatement cost curves and abatement strategies: Taking option interdependency and investments unrelated to climate change into account," Energy, Elsevier, vol. 76(C), pages 336-344.
  11. Pusnik, M. & Al-Mansour, F. & Sucic, B. & Cesen, M., 2017. "Trends and prospects of energy efficiency development in Slovenian industry," Energy, Elsevier, vol. 136(C), pages 52-62.
  12. 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.
  13. Woo, C.K. & Shiu, A. & Liu, Y. & Luo, X. & Zarnikau, J., 2018. "Consumption effects of an electricity decarbonization policy: Hong Kong," Energy, Elsevier, vol. 144(C), pages 887-902.
  14. Kun He & Li Wang & Hongliang Zhu & Yulong Ding, 2018. "Energy-Saving Potential of China’s Steel Industry According to Its Development Plan," Energies, MDPI, vol. 11(4), pages 1-16, April.
  15. Wang, Yufei & Li, Huimin & Song, Qijiao & Qi, Ye, 2017. "The consequence of energy policies in China: A case study of the iron and steel sector," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 66-73.
  16. Kong, Lingbo & Hasanbeigi, Ali & Price, Lynn & Liu, Huanbin, 2017. "Energy conservation and CO2 mitigation potentials in the Chinese pulp and paper industry," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 74-84.
  17. Sirintip Juntueng & Sirintornthep Towprayoon & Siriluk Chiarakorn, 2021. "Assessment of energy saving potential and CO2 abatement cost curve in 2030 for steel industry in Thailand," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2630-2654, February.
  18. Du, Huibin & Li, Qun & Liu, Xi & Peng, Binbin & Southworth, Frank, 2021. "Costs and potentials of reducing CO2 emissions in China's transport sector: Findings from an energy system analysis," Energy, Elsevier, vol. 234(C).
  19. Rodrigues da Silva, Rafael & Mathias, Flavio Roberto de Carvalho & Bajay, Sergio Valdir, 2018. "Potential energy efficiency improvements for the Brazilian iron and steel industry: Fuel and electricity conservation supply curves for integrated steel mills," Energy, Elsevier, vol. 153(C), pages 816-824.
  20. Pasquali, Andrea & Klinge Jacobsen, Henrik, 2019. "Construction of energy savings cost curves: An application for Denmark," MPRA Paper 93076, University Library of Munich, Germany.
  21. Rehfeldt, M. & Worrell, E. & Eichhammer, W. & Fleiter, T., 2020. "A review of the emission reduction potential of fuel switch towards biomass and electricity in European basic materials industry until 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
  22. Dong, Kangyin & Wang, Bo & Zhao, Jun & Taghizadeh-Hesary, Farhad, 2022. "Mitigating carbon emissions by accelerating green growth in China," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 226-243.
  23. Liu, Xiaoyu & Chen, Dingjiang & Zhang, Wenjun & Qin, Weizhong & Zhou, Wenji & Qiu, Tong & Zhu, Bing, 2013. "An assessment of the energy-saving potential in China's petroleum refining industry from a technical perspective," Energy, Elsevier, vol. 59(C), pages 38-49.
  24. He, Yong & Liao, Nuo & Lin, Kunrong, 2021. "Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach," Energy Policy, Elsevier, vol. 149(C).
  25. Cui, Qiang & Li, Ye, 2015. "Evaluating energy efficiency for airlines: An application of VFB-DEA," Journal of Air Transport Management, Elsevier, vol. 44, pages 34-41.
  26. Wu, Ya & Su, JingRong & Li, Ke & Sun, Chuanwang, 2019. "Comparative study on power efficiency of China's provincial steel industry and its influencing factors," Energy, Elsevier, vol. 175(C), pages 1009-1020.
  27. Wang, Can & Zheng, Xinzhu & Cai, Wenjia & Gao, Xue & Berrill, Peter, 2017. "Unexpected water impacts of energy-saving measures in the iron and steel sector: Tradeoffs or synergies?," Applied Energy, Elsevier, vol. 205(C), pages 1119-1127.
  28. Xu, Bin & Lin, Boqiang, 2017. "Assessing CO2 emissions in China's iron and steel industry: A nonparametric additive regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 325-337.
  29. Yue, Hui & Worrell, Ernst & Crijns-Graus, Wina, 2021. "Impacts of regional industrial electricity savings on the development of future coal capacity per electricity grid and related air pollution emissions – A case study for China," Applied Energy, Elsevier, vol. 282(PB).
  30. Liao, Nuo & He, Yong, 2018. "Exploring the effects of influencing factors on energy efficiency in industrial sector using cluster analysis and panel regression model," Energy, Elsevier, vol. 158(C), pages 782-795.
  31. Wang, Ke & Wang, Shanshan & Liu, Lei & Yue, Hui & Zhang, Ruiqin & Tang, Xiaoyan, 2016. "Environmental co-benefits of energy efficiency improvement in coal-fired power sector: A case study of Henan Province, China," Applied Energy, Elsevier, vol. 184(C), pages 810-819.
  32. Lin, Boqiang & Wang, Xiaolei, 2014. "Promoting energy conservation in China's iron & steel sector," Energy, Elsevier, vol. 73(C), pages 465-474.
  33. Brunke, Jean-Christian & Blesl, Markus, 2014. "A plant-specific bottom-up approach for assessing the cost-effective energy conservation potential and its ability to compensate rising energy-related costs in the German iron and steel industry," Energy Policy, Elsevier, vol. 67(C), pages 431-446.
  34. Liu, Xianbing & Fan, Yongbin & Wang, Can, 2017. "An estimation of the effect of carbon pricing for CO2 mitigation in China’s cement industry," Applied Energy, Elsevier, vol. 185(P1), pages 671-686.
  35. Broeren, M.L.M. & Saygin, D. & Patel, M.K., 2014. "Forecasting global developments in the basic chemical industry for environmental policy analysis," Energy Policy, Elsevier, vol. 64(C), pages 273-287.
  36. Li, Nan & Jiang, Yuqing & Mu, Hailin & Yu, Zhixin, 2018. "Efficiency evaluation and improvement potential for the Chinese agricultural sector at the provincial level based on data envelopment analysis (DEA)," Energy, Elsevier, vol. 164(C), pages 1145-1160.
  37. Wu, Junnian & Pu, Guangying & Guo, Yan & Lv, Jingwen & Shang, Jiangwei, 2018. "Retrospective and prospective assessment of exergy, life cycle carbon emissions, and water footprint for coking network evolution in China," Applied Energy, Elsevier, vol. 218(C), pages 479-493.
  38. Zhang, Qi & Xu, Jin & Wang, Yujie & Hasanbeigi, Ali & Zhang, Wei & Lu, Hongyou & Arens, Marlene, 2018. "Comprehensive assessment of energy conservation and CO2 emissions mitigation in China’s iron and steel industry based on dynamic material flows," Applied Energy, Elsevier, vol. 209(C), pages 251-265.
  39. Hu, Rui & Zhang, Qun, 2015. "Study of a low-carbon production strategy in the metallurgical industry in China," Energy, Elsevier, vol. 90(P2), pages 1456-1467.
  40. Xu, Tengfang & Karali, Nihan & Sathaye, Jayant, 2014. "Undertaking high impact strategies: The role of national efficiency measures in long-term energy and emission reduction in steel making," Applied Energy, Elsevier, vol. 122(C), pages 179-188.
  41. Zheng, Donglin & Yu, Lijun & Wang, Lizhen, 2019. "A techno-economic-risk decision-making methodology for large-scale building energy efficiency retrofit using Monte Carlo simulation," Energy, Elsevier, vol. 189(C).
  42. 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.
  43. Hongtao Ren & Wenji Zhou & Marek Makowski & Shaohui Zhang & Yadong Yu & Tieju Ma, 2023. "A multi-criteria decision support model for adopting energy efficiency technologies in the iron and steel industry," Annals of Operations Research, Springer, vol. 325(2), pages 1111-1132, June.
  44. Xu, Mengmeng & Lin, Boqiang & Wang, Siquan, 2021. "Towards energy conservation by improving energy efficiency? Evidence from China’s metallurgical industry," Energy, Elsevier, vol. 216(C).
  45. Yu, Shiyu & Liang, Yanpeng & Zhu, Zhe & Olaniyi, Oladokun Nafiu & Khan, Numan, 2024. "Dutch disease perspective of energy sector: Natural resources and energy sector nexus with the role of renewable energy consumption," Resources Policy, Elsevier, vol. 90(C).
  46. Wang, Peng & Li, Wen & Kara, Sami, 2017. "Cradle-to-cradle modeling of the future steel flow in China," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 45-57.
  47. Xu, Bin & Lin, Boqiang, 2016. "Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model," Applied Energy, Elsevier, vol. 161(C), pages 375-386.
  48. Nechifor, Victor & Calzadilla, Alvaro & Bleischwitz, Raimund & Winning, Matthew & Tian, Xu & Usubiaga, Arkaitz, 2020. "Steel in a circular economy: Global implications of a green shift in China," World Development, Elsevier, vol. 127(C).
  49. Samet, Haidar & Ghanbari, Teymoor & Ghaisari, Jafar, 2014. "Maximizing the transferred power to electric arc furnace for having maximum production," Energy, Elsevier, vol. 72(C), pages 752-759.
  50. 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.
  51. Zeng, Yujiao & Xiao, Xin & Li, Jie & Sun, Li & Floudas, Christodoulos A. & Li, Hechang, 2018. "A novel multi-period mixed-integer linear optimization model for optimal distribution of byproduct gases, steam and power in an iron and steel plant," Energy, Elsevier, vol. 143(C), pages 881-899.
  52. Yue, Qiang & Wang, Heming & Gao, Chengkang & Du, Tao & Liu, Liying & Lu, Zhongwu, 2015. "Resources saving and emissions reduction of the aluminum industry in China," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 68-75.
  53. Zhao, Xiancong & Bai, Hao & Shi, Qi & Lu, Xin & Zhang, Zhihui, 2017. "Optimal scheduling of a byproduct gas system in a steel plant considering time-of-use electricity pricing," Applied Energy, Elsevier, vol. 195(C), pages 100-113.
  54. Cui, Qiang & Kuang, Hai-bo & Wu, Chun-you & Li, Ye, 2014. "The changing trend and influencing factors of energy efficiency: The case of nine countries," Energy, Elsevier, vol. 64(C), pages 1026-1034.
  55. Liu, Shangwei & Tian, Xin & Cai, Wenjia & Chen, Weiqiang & Wang, Yafei, 2018. "How the transitions in iron and steel and construction material industries impact China’s CO2 emissions: Comprehensive analysis from an inter-sector linked perspective," Applied Energy, Elsevier, vol. 211(C), pages 64-75.
  56. Liu, Yan & Yang, Jian & Wang, Jing-yu & Ding, Xu-gang & Cheng, Zhi-long & Wang, Qiu-wang, 2015. "Prediction, parametric analysis and bi-objective optimization of waste heat utilization in sinter cooling bed using evolutionary algorithm," Energy, Elsevier, vol. 90(P1), pages 24-35.
  57. Lin, Boqiang & Xu, Mengmeng, 2019. "Good subsidies or bad subsidies? Evidence from low-carbon transition in China's metallurgical industry," Energy Economics, Elsevier, vol. 83(C), pages 52-60.
  58. Lin, Boqiang & Long, Houyin, 2014. "How to promote energy conservation in China’s chemical industry," Energy Policy, Elsevier, vol. 73(C), pages 93-102.
  59. 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.
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