Study of the optimization scheduling based on by-product gas model in iron and steel enterprises
文献类型:期刊论文
作者 | Wang J(王军)![]() ![]() |
刊名 | Energy Education Science and Technology Part A: Energy Science and Research
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出版日期 | 2013 |
卷号 | 31期号:4页码:2455-2468 |
关键词 | Boilers Digital storage Electric properties Emission control Energy efficiency Industry Iron Liquefied gases MATLAB Metal recovery Optimization Power plants Tanks (containers) |
ISSN号 | 1308-772X |
产权排序 | 1 |
中文摘要 | To solve the problem of using by-product gas with optimal allocation in iron and steel enterprise, improve the utilization rate of by-product gas, analysis the situation of recovery storage, excess, shortage. According to the gas tank, self-provided power plant boiler, and the actual conversion efficiency, by-product gas optimization model is proposed. It establishes on the basis of optimal allocation of gas tank counters and self-provided power plant boiler. The spare gas is used for Maximum by this model. According to the property of by-product gas, the model exchanges it into electricity, liquid gas, etc. so that to get extra economic benefits for the enterprise. Finally, the simulation is executed by Matlab, and the simulation data certify that the gas income is on the rise, and secondary energy is used efficiently on internal process in iron and steel enterprise. At the same time, experimental results show that the model can realize the gas scattered, get the considerable economic benefits, and achieve energy conservation and emissions reduction. |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.sia.cn/handle/173321/14673] ![]() |
专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
推荐引用方式 GB/T 7714 | Wang J,Yao, Xiaodan,Hu JT,et al. Study of the optimization scheduling based on by-product gas model in iron and steel enterprises[J]. Energy Education Science and Technology Part A: Energy Science and Research,2013,31(4):2455-2468. |
APA | Wang J,Yao, Xiaodan,Hu JT,&Pang, Yujun.(2013).Study of the optimization scheduling based on by-product gas model in iron and steel enterprises.Energy Education Science and Technology Part A: Energy Science and Research,31(4),2455-2468. |
MLA | Wang J,et al."Study of the optimization scheduling based on by-product gas model in iron and steel enterprises".Energy Education Science and Technology Part A: Energy Science and Research 31.4(2013):2455-2468. |
入库方式: OAI收割
来源:沈阳自动化研究所
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