Collaborative optimization method of energy and material flows in iron and steel park considering gas scheduling

被引:0
|
作者
Gu, Pengfei [1 ,2 ]
Sun, Hongbin [1 ,2 ,3 ]
Xue, Yixun [1 ,2 ]
Chang, Xinyue [1 ,2 ]
Han, Xiaoqing [1 ]
Guo, Qinglai [3 ]
Du, Yuan [1 ,2 ]
机构
[1] College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan,030002, China
[2] Key Laboratory of Clean Intelligent Control of Coal Electricity, Ministry of Education, Taiyuan University of Technology, Taiyuan,030002, China
[3] Department of Electrical Engineering, Tsinghua University, Beijing,100084, China
基金
中国国家自然科学基金;
关键词
Collaborative optimization - Emission reduction - Energy savings - Energy flow - Energy flow-material flow - Energy-savings - Gas scheduling - Iron and steel - Iron and steel park - Material Flow - Optimisations;
D O I
10.16081/j.epae.202403019
中图分类号
学科分类号
摘要
In order to promote green and low-carbon transformation of the iron and steel industry,a synergistic energy flow-material flow optimization scheduling method is proposed for the iron and steel park,which fully exploits the synergistic optimization potential of production system and energy system. A material flow model for the production system is established by analyzing the timing sequence characteristic and material relation of blast furnace,converter,and electric furnace processes in the park. Considering the energy consumption characteristic of each production process and gas production and consumption condition,an energy flow-material flow coupling model is established taking into account the gas scheduling. Based on the above model,the synergistic energy flow-material flow optimization scheduling of iron and steel park is carried out with the objectives of minimum system operation cost and minimum carbon emission,and the optimal production strategy for the production equipments of blast furnace,converter,and electric furnace,as well as the optimal scheduling results for energy sources of electricity,gas,and coke are obtained. An iron and steel park in Shanxi Province is taken for example to verify the proposed method,and the results show that under the premise of meeting the production plan requirements of iron and steel park,the proposed method can reduce the daily carbon emission of iron and steel park by 9.56 % and reduce the total system cost by 6.12% through the synergistic control of material flow and energy flow. © 2024 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码:32 / 40
相关论文
共 50 条
  • [1] Extended Resource Task Network for Collaborative Scheduling of Material and Energy Flows in Iron and Steel Enterprises
    Lv Zhimin
    Li Ting
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA), 2017, : 209 - 213
  • [2] Whole-process Collaborative Scheduling Optimization for Port Energy Flows and Logistics Flows Considering Multi-source Incentives
    Pu Y.
    Liu H.
    Wang J.
    Yang Z.
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2023, 43 (20): : 7912 - 7928
  • [3] Collaborative optimization scheduling of integrated energy system considering user dissatisfaction
    Ma, Kai
    Zhang, Rencai
    Yang, Jie
    Song, Debao
    [J]. ENERGY, 2023, 274
  • [4] Study on material, energy, pollutant flows for iron and steel enterprise
    Du, Tao
    Cai, Jiu-Ju
    [J]. Kang T'ieh/Iron and Steel (Peking), 2006, 41 (04): : 82 - 87
  • [5] Edge-Cloud Collaborative Optimization Scheduling of an Industrial Park Integrated Energy System
    Liu, Gengshun
    Song, Xinfu
    Xin, Chaoshan
    Liang, Tianbao
    Li, Yang
    Liu, Kun
    [J]. SUSTAINABILITY, 2024, 16 (05)
  • [6] Distributed robust optimization scheduling of a steel plant integrated energy system considering the uncertainty of byproduct coal gas
    Li, Fan
    Li, Yuxiao
    Niu, Tao
    Fang, Sidun
    Wu, Wenguo
    [J]. FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [7] Intelligent Park Load Scheduling Optimization Method Considering Heat-Power Linkage
    Hu, Zesheng
    Lu, Jun
    Wang, Xingxing
    Xu, Zhiqiang
    Gong, Gangjun
    Wang, Yun
    [J]. PROCEEDINGS OF 2019 INTERNATIONAL FORUM ON SMART GRID PROTECTION AND CONTROL (PURPLE MOUNTAIN FORUM), VOL I, 2020, 584 : 789 - 800
  • [8] Multi-energy collaborative optimization scheduling of integrated energy system considering integrated demand response
    Sheng S.
    Zhang J.
    Li R.
    Xiang T.
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2023, 43 (06): : 1 - 9
  • [9] A scheduling optimization method for steelmaking and continuous casting considering energy constraints
    Jiang S.
    Wen Y.
    Tang W.
    Peng G.
    [J]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2022, 50 (06): : 118 - 123and132
  • [10] Multi-energy collaborative optimization of park integrated energy system considering carbon emission and demand response
    Guo, Weishang
    Wang, Qiang
    Liu, Haiying
    Desire, Wade Atchike
    [J]. ENERGY REPORTS, 2023, 9 : 3683 - 3694