| Plant-Wide Supply-Demand Forecast and Optimization of Byproduct Gas System in Steel Plant | |
| Alternative Title | Plant-Wide Supply-Demand Forecast and Optimization of Byproduct Gas System in Steel Plant |
| Sun Wenqiang1; Cai Jiuju1; Song Jun2 | |
| 2013 | |
| Source Publication | JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
 |
| ISSN | 1006-706X |
| Volume | 20Issue:9Pages:1-7 |
| Abstract | 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. |
| Other Abstract | 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. |
| Keyword | MILP MODEL IRON INDUSTRY byproduct gas supply-demand forecast surplus gas dynamic programming method |
| Indexed By | CSCD |
| Language | 英语 |
| Funding Project | [Science and Technology Research Funds of Liaoning Provincial Education Department of China] |
| CSCD ID | CSCD:4941337 |
| Citation statistics |
Cited Times:7[CSCD]
[CSCD Record]
|
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/148471 |
| Collection | 中国科学院金属研究所 |
| Affiliation | 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 |
| 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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