钢铁企业副产煤气短周期优化调度模型

doi:10.13228/j.boyuan.issn0449-749x.20150527

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Abstract In iron and steel production，around 34% of the coal energy is converted into byproduct gases. In order to improve the energy efficiency of byproduct gas，the current study proposed an improved mixed integer linear programming（MILP） model which treated the minimum of operation cost as the objective function and regarded the mass balance， the energy and the operation parameters as the constraint conditions，to optimize byproduct gas distribution in a steel plant in China. Compared with previous models，this model improved the adjustment accuracy of the boiler model which would reflect the real operation better. Since the most important thing in the byproduct gas scheduling is to sustain the stability of the whole system， the current study defined the sum of standard deviation volume[（SSDV）]and sum of switching percentage[（SSP）]to evaluate the stability of gasholders and boilers，and Pareto optimality was applied to select reasonable penalty factors. Calculation results demonstrate that compared with manual operation，the planning of the optimal distribution of byproduct gases proposed in this study can reduce the fluctuation of the gasholders and the load of the boilers to make the operation of the byproduct gas system safe and stable.

Key words： iron and steel production byproduct gases energy efficiency integer linear programing stability optimization

Received: 25 October 2015 Published: 26 July 2016

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	Articles by authors
	YI Qi
	DIAO Xian-Cong
	BO Hui
	GENG Wen-Long
	ZHANG Zhi-Hui

Cite this article:

YI Qi,DIAO Xian-Cong,BO Hui等. Short-term distribution model of byproduct gases in iron and steel enterprise[J]. Iron and Steel, 2016, 51(8): 81-89.

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http://www.chinamet.cn/Jweb_gt/EN/10.13228/j.boyuan.issn0449-749x.20150527 OR http://www.chinamet.cn/Jweb_gt/EN/Y2016/V51/I8/81

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