Energy conservation and emission reduction path selection in China: A simulation based on Bi-Level multi-objective optimization model

被引:40
作者
Ning, Yadong [1 ]
Chen, Kunkun [1 ]
Zhang, Boya [1 ]
Ding, Tao [1 ,2 ]
Guo, Fei [1 ]
Zhang, Ming [1 ,3 ]
机构
[1] Dalian Univ Technol, Dalian 116024, Peoples R China
[2] Hefei Univ Technol, Hefei 230009, Peoples R China
[3] China Univ Min & Technol, Xuzhou 221116, Jiangsu, Peoples R China
关键词
Energy conservation and emission reduction; Path selection; Bi-level multi-objective; Optimization model; Win-win situation; Clustering analysis; CARBON INTENSITY TARGET; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; REGIONAL ALLOCATION; QUOTA-ALLOCATION; PROVINCES; PEAK; PERSPECTIVE; IMPACT; GROWTH;
D O I
10.1016/j.enpol.2019.111116
中图分类号
F [经济];
学科分类号
02 ;
摘要
Aiming at the bi-level multi-objective characteristic of the energy-environment-economy(3E) system of China, this paper constructed a bi-level multi-objective optimization model. Six scenarios were simulated in preference to energy saving, emission reduction and economic development. And energy consumption, carbon emission and economic development were analyzed in different scenarios during the 13th five-year plan (2016-2020). The following results were obtained: during the 13th five-year plan, the national targets of energy consumption, carbon emission and economic development are easily achievable. However, it is hard for most regions to achieve their energy conservation and emission reduction (ECER) targets when accomplishing their own economic targets. In other words, regional economic targets mismatch their ECER targets. The effects of ECER are not ideal in the energy saving scenario and the carbon emission reduction scenario, while they are relatively satisfactory in the economic development scenario. The win-win" situation between upper-level and lower-level is realizable in the economic development scenario, i.e., high-quality economic development may germinate good effects on ECER.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Bi-level multi-objective programming approach for bioenergy production optimization towards co-digestion of kitchen waste and rice straw
    Huang, Yidan
    Xu, Jiuping
    FUEL, 2022, 316
  • [22] Optimizing carbon allowance allocation in China's power generation industry: A Bi-level multi-objective framework introducing auction mechanism
    Zhang, Lihui
    Luo, Jing
    Yao, Zongyu
    Zhang, Ziqing
    JOURNAL OF CLEANER PRODUCTION, 2025, 486
  • [23] Industrial carbon emission efficiency prediction and carbon emission reduction strategies based on multi-objective particle swarm optimization-backpropagation: A perspective from regional clustering
    Jiang, Hongtao
    Yin, Jian
    Wei, Danqi
    Luo, Xinyuan
    Ding, Yi
    Xia, Ruici
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 906
  • [24] Multi-objective programming for energy system based on the decomposition of carbon emission driving forces: A case study of Guangdong, China
    Zhang, Yang
    Fu, Zhenghui
    Xie, Yulei
    Li, Zheng
    Liu, Yanxiao
    Hu, Qing
    Guo, Huaicheng
    JOURNAL OF CLEANER PRODUCTION, 2021, 309
  • [25] Continuous allocation of carbon emission quota considering different paths to carbon peak: Based on multi-objective optimization
    Xia, Dan
    Zhang, Ling
    Zhou, Dequn
    Pian, Qianya
    ENERGY POLICY, 2023, 178
  • [26] Multi-objective operation optimization and evaluation model for CCHP and renewable energy based hybrid energy system driven by distributed energy resources in China
    Ju, Liwei
    Tan, Zhongfu
    Li, Huanhuan
    Tan, Qingkun
    Yu, Xiaobao
    Song, Xiaohua
    ENERGY, 2016, 111 : 322 - 340
  • [27] Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis
    Zhou, D. Q.
    Wang, Qunwei
    Su, B.
    Zhou, P.
    Yao, L. X.
    APPLIED ENERGY, 2016, 166 : 201 - 209
  • [28] Realizing China's goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach
    Yu, Shiwei
    Zheng, Shuhong
    Zhang, Xuejiao
    Gong, Chengzhu
    Cheng, Jinhua
    ENERGY POLICY, 2018, 122 : 300 - 312
  • [29] Study on the Path Selection of Low-carbon Distribution in Cold Chain Based on Multi-objective Programming
    Wang, Yan
    PROCEEDINGS OF 2017 IEEE 2ND INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2017, : 511 - 515
  • [30] Integrated hydrogen production strategy based on multi-objective optimization considering carbon dioxide emission reduction goals
    Kwon, Hweeung
    Koo, Bonchan
    APPLIED THERMAL ENGINEERING, 2024, 236