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Plant-Wide Supply-Demand Forecast and Optimization of Byproduct Gas System in Steel Plant
Alternative TitlePlant-Wide Supply-Demand Forecast and Optimization of Byproduct Gas System in Steel Plant
Sun Wenqiang1; Cai Jiuju1; Song Jun2
2013
Source PublicationJOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
ISSN1006-706X
Volume20Issue:9Pages:1-7
AbstractConsiderable energy is consumed during steel manufacturing process. Byproduct gas emerges as secondary energy in the process; however, it is also an atmospheric pollution source if it is released into the air. Therefore, the optimal utilization of byproduct gas not only saves energy but also protects environment. To solve this issue, a forecast model of gas supply, gas demand and surplus gas in a steel plant was proposed. With the progress of energy conservation, the amount of surplus gas was very large. In a steel plant, the surplus gas was usually sent to boilers to generate steam. However, each boiler had an individual efficiency. So the optimization of the utilization of surplus gas in boilers was a key topic. A dynamic programming method was used to develop an optimal utilization strategy for surplus gas. Finally, a case study providing a sound confirmation was given.
Other AbstractConsiderable energy is consumed during steel manufacturing process. Byproduct gas emerges as secondary energy in the process; however, it is also an atmospheric pollution source if it is released into the air. Therefore, the optimal utilization of byproduct gas not only saves energy but also protects environment. To solve this issue, a forecast model of gas supply, gas demand and surplus gas in a steel plant was proposed. With the progress of energy conservation, the amount of surplus gas was very large. In a steel plant, the surplus gas was usually sent to boilers to generate steam. However, each boiler had an individual efficiency. So the optimization of the utilization of surplus gas in boilers was a key topic. A dynamic programming method was used to develop an optimal utilization strategy for surplus gas. Finally, a case study providing a sound confirmation was given.
KeywordMILP MODEL IRON INDUSTRY byproduct gas supply-demand forecast surplus gas dynamic programming method
Indexed ByCSCD
Language英语
Funding Project[Science and Technology Research Funds of Liaoning Provincial Education Department of China]
CSCD IDCSCD:4941337
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/148471
Collection中国科学院金属研究所
Affiliation1.中国科学院金属研究所
2.Henan Polytech University, Sch Mech & Power Engn, Jiaozuo 454000, Henan, Peoples R China
Recommended Citation
GB/T 7714
Sun Wenqiang,Cai Jiuju,Song Jun. Plant-Wide Supply-Demand Forecast and Optimization of Byproduct Gas System in Steel Plant[J]. JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL,2013,20(9):1-7.
APA Sun Wenqiang,Cai Jiuju,&Song Jun.(2013).Plant-Wide Supply-Demand Forecast and Optimization of Byproduct Gas System in Steel Plant.JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL,20(9),1-7.
MLA Sun Wenqiang,et al."Plant-Wide Supply-Demand Forecast and Optimization of Byproduct Gas System in Steel Plant".JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL 20.9(2013):1-7.
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