Extended Resource Task Network for Collaborative Scheduling of Material and Energy Flows in Iron and Steel Enterprises
被引:0
作者:
Lv Zhimin
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sci & Technol Beijing, Collaborat Innovat Ctr Steel Technol, Beijing, Peoples R ChinaUniv Sci & Technol Beijing, Collaborat Innovat Ctr Steel Technol, Beijing, Peoples R China
Lv Zhimin
[1
]
Li Ting
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sci & Technol Beijing, Natl Engn Res Ctr Adv Rolling, Beijing, Peoples R ChinaUniv Sci & Technol Beijing, Collaborat Innovat Ctr Steel Technol, Beijing, Peoples R China
Li Ting
[2
]
机构:
[1] Univ Sci & Technol Beijing, Collaborat Innovat Ctr Steel Technol, Beijing, Peoples R China
[2] Univ Sci & Technol Beijing, Natl Engn Res Ctr Adv Rolling, Beijing, Peoples R China
来源:
2017 4TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA)
|
2017年
基金:
中国国家自然科学基金;
关键词:
extended resource task network;
collaborative scheduling;
energy flow;
variable electricity prices;
steel and iron;
OPERATIONS;
PLANT;
D O I:
暂无
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
Taking the interactive relationship between material and energy flows in the iron and steel enterprises into account, this paper proposes extended resource task network (ERTN) to achieve collaborative scheduling of materials and energy flows in the production. In the ERTN, excess resource balance constraint is modified to consider materials and energy simultaneous and consistent. Additional constraints are introduced, such as energy balance, gas-electricity transfer and electricity generation constraints. A case study illustrates the efficiency of proposed ERTN model. It is shown that under variable electricity prices, the production profit of optimizing total profit is 33.528 % higher than that of optimizing excess molten iron, by collaboratively scheduling of materials and energy in the production.