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

被引:213
|
作者
Hasanbeigi, Ali [1 ]
Morrow, William [1 ]
Sathaye, Jayant [1 ]
Masanet, Eric [1 ,2 ]
Xu, Tengfang [1 ]
机构
[1] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Energy Anal & Environm Impacts Dept, Environm Energy Technol Div, Berkeley, CA 94720 USA
[2] Northwestern Univ, Dept Mech Engn, Evanston, IL 60208 USA
关键词
Energy-efficiency technology; Cost of energy saving; Iron and steel industry; CO2 emission reductions;
D O I
10.1016/j.energy.2012.10.062
中图分类号
O414.1 [热力学];
学科分类号
摘要
China's annual crude steel production in 2010 was 638.7 Mt accounting for nearly half of the world's annual crude steel production in the same year. Around 461 TWh of electricity and 14,872 PJ of fuel were consumed to produce this quantity of steel. We identified and analyzed 23 energy efficiency technologies and measures applicable to the processes in China's iron and steel industry. Using a bottom-up electricity CSC (Conservation Supply Curve) model, the cumulative cost-effective electricity savings potential for the Chinese iron and steel industry for 2010-2030 is estimated to be 251 TWh, and the total technical electricity saving potential is 416 TWh. The CO2 emissions reduction associated with cost-effective electricity savings is 139 Mt CO2 and the CO2 emission reduction associated with technical electricity saving potential is 237 Mt CO2. The FCSC (Fuel CSC) model for the Chinese iron and steel industry shows cumulative cost-effective fuel savings potential of 11,999 PJ, and the total technical fuel saving potential is 12,139. The CO2 emissions reduction associated with cost-effective and technical fuel savings is 1191 Mt CO2 and 1205 Mt CO2, respectively. In addition, a sensitivity analysis with respect to the discount rate used is conducted. Published by Elsevier Ltd.
引用
收藏
页码:315 / 325
页数:11
相关论文
共 50 条
  • [41] A new model for China's CO2 emission pathway using the top-down and bottom-up approaches
    Cai, Bofeng
    Zhang, Li
    Xia, Chuyu
    Yang, Lu
    Liu, Hui
    Jiang, Lingling
    Cao, Libin
    Lei, Yu
    Yan, Gang
    Wang, Jinnan
    CHINESE JOURNAL OF POPULATION RESOURCES AND ENVIRONMENT, 2021, 19 (04) : 291 - 294
  • [42] A new model for China's CO2 emission pathway using the top-down and bottom-up approaches
    Bofeng Cai
    Li Zhang
    Chuyu Xia
    Lu Yang
    Hui Liu
    Lingling Jiang
    Libin Cao
    Yu Lei
    Gang Yan
    Jinnan Wang
    Chinese Journal of Population,Resources and Environment, 2021, (04) : 291 - 294
  • [43] Variables affecting energy efficiency and CO2 emissions in the steel industry
    Siitonen, Sari
    Tuomaala, Mari
    Ahtila, Pekka
    ENERGY POLICY, 2010, 38 (05) : 2477 - 2485
  • [44] The energy conservation and emission reduction potentials in China's iron and steel industry: Considering the uncertainty factor
    Wang, Yihan
    He, Xi
    Jiang, Feng
    JOURNAL OF CLEANER PRODUCTION, 2023, 413
  • [45] An Estimation of Plant Specific Emission Factors for CO2 in Iron and Steel Industry
    Eom, Y. S.
    Hong, J. H.
    Kim, J. S.
    Kim, D. G.
    Lee, S. B.
    Song, H. D.
    Lee, S. H.
    JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2007, 23 (01) : 50 - 63
  • [46] Energy conservation and CO2 mitigation potentials in the Chinese pulp and paper industry
    Kong, Lingbo
    Hasanbeigi, Ali
    Price, Lynn
    Liu, Huanbin
    RESOURCES CONSERVATION AND RECYCLING, 2017, 117 : 74 - 84
  • [47] Analyzing and forecasting CO2 emission reduction in China’s steel industry
    Chengkang Gao
    Dan Wang
    Baohua Zhao
    Shan Chen
    Wei Qin
    Frontiers of Earth Science, 2015, 9 : 105 - 113
  • [48] Analyzing and forecasting CO2 emission reduction in China's steel industry
    Gao, Chengkang
    Wang, Dan
    Zhao, Baohua
    Chen, Shan
    Qin, Wei
    FRONTIERS OF EARTH SCIENCE, 2015, 9 (01) : 105 - 113
  • [49] Multi-objective optimization of synergic energy conservation and CO2 emission reduction in China's iron and steel industry under uncertainty
    Wang, Yihan
    Wen, Zongguo
    Yao, Jianguo
    Dinga, Christian Doh
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2020, 134
  • [50] Muti-objective optimization on energy consumption, CO2 emission and production cost for iron and steel industry
    Yang, Yuhang
    Zhang, Lei
    Yuan, Yuxing
    Sun, Jingchao
    Che, Zichang
    Qiu, Ziyang
    Du, Tao
    Na, Hongming
    Che, Shuai
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 347