Plant-Wide Supply-Demand Forecast and Optimization of Byproduct Gas System in Steel Plant

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	Plant-Wide Supply-Demand Forecast and Optimization of Byproduct Gas System in Steel Plant
其他题名	Plant-Wide Supply-Demand Forecast and Optimization of Byproduct Gas System in Steel Plant
	Sun Wenqiang 1; Cai Jiuju 1; Song Jun 2
	2013
发表期刊	JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
ISSN	1006-706X
卷号	20 期号:9 页码:1-7
摘要	Considerable 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.
其他摘要	Considerable 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.
关键词	MILP MODEL IRON INDUSTRY byproduct gas supply-demand forecast surplus gas dynamic programming method
收录类别	CSCD
语种	英语
资助项目	[Science and Technology Research Funds of Liaoning Provincial Education Department of China]
CSCD记录号	CSCD:4941337
引用统计	被引频次：7[CSCD] [CSCD记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/148471
专题	中国科学院金属研究所
作者单位	1.中国科学院金属研究所 2.Henan Polytech University, Sch Mech & Power Engn, Jiaozuo 454000, Henan, Peoples R China
推荐引用方式 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.