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

钢铁研究学报(英文版), 2013, 20(9): 1-7.

^1, , ^2, , ^3,

1.State Environmental Protection Key Laboratory of Eco-Industry, Institute of Thermal and Environmental Engineering, Northeastern University, Shenyang 110819, Liaoning, China

2.State Environmental Protection Key Laboratory of Eco-Industry, Institute of Thermal and Environmental Engineering, Northeastern University, Shenyang 110819, Liaoning, China

3.School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China

基金项目: Item Sponsored by Science and Technology Research Funds of Liaoning Provincial Education Department of China (L2012082)

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

SUN Wen-qiang ^1, , CAI Jiu-ju ^2, , SONG Jun ^3,

1.State Environmental Protection Key Laboratory of Eco-Industry, Institute of Thermal and Environmental Engineering, Northeastern University, Shenyang 110819, Liaoning, China

2.State Environmental Protection Key Laboratory of Eco-Industry, Institute of Thermal and Environmental Engineering, Northeastern University, Shenyang 110819, Liaoning, China

3.School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China

Keywords： byproduct gas

参考文献

[1]	Kim J H;Yi H S;Han C .A Novel MILP Model for Plantwide Multiperiod Optimization of Byproduct Gas Supply System in the Iron-and Steel-Making Process[J].Trans IChemE,2003,81(08):1015.
[2]	Xiaoping Zhang;Jun Zhao;Wei Wang;Liqun Cong;Weimin Feng .An optimal method for prediction and adjustment on byproduct gas holder in steel industry[J].Expert Systems with Application,2011(4):4588-4599.
[3]	Kong H N;Qi E S;Li H et al.An MILP for Optimization of Byproduct Gases in the Integrated Iron and Steel Plant[J].Applied Energy,2010,87(07):2156.
[4]	KONG Hai-ning,QI Er-shi,HE Shu-guang,LI Gang.MILP Model for Plant-Wide Optimal By-Product Gas Scheduling in Iron and Steel Industry[J].钢铁研究学报（英文版）,2010(07):34-37.
[5]	Mcculloch G A;Bandyopadhyay R .Application of Operational Research in Production Problems in the Steel Industry[J].International Journal of Production Research,1972,10(01):77.
[6]	Production and Technology of Iron and Steel in Japan during 2009[J].ISIJ International,2010(6):777-796.
[7]	The case study of furnace use and energy conservation in iron and steel industry[J].Energy,2010(4):p.1665.
[8]	Matsuda K;Tanaka S;Endou M et al.Energy Saving Study on a Large Steel Plant by Total Site Based Pinch Technology[J].Applied Tnermal Engineering,2012,43:14.
[9]	Jianling Zhang;Guoshun Wang .Energy saving technologies and productive efficiency in the Chinese iron and steel sector[J].Energy,2008(4):525-537.
[10]	SUN Wen-qiang,CAI Jiu-ju,DU Tao,ZHANG Da-wei.Specific Energy Consumption Analysis Model and Its Application in Typical Steel Manufacturing Process[J].钢铁研究学报（英文版）,2010(10):33-37.
[11]	Larsson M;Dahl J .Reduction of the Specific Energy Use in an Integrated Steel Plant-The Effect of an Optimization Model[J].ISIJ International,2003,43(10):1664.
[12]	Yin R Y.Metallurgical Process Engineering[M].北京:冶金工业出版社,2011
[13]	A. C. DIAMANTIDIS;C. T. PAPADOPOULOS .A DYNAMIC PROGRAMMING ALGORITHM FOR THE BUFFER ALLOCATION PROBLEM IN HOMOGENEOUS ASYMPTOTICALLY RELIABLE SERIAL PRODUCTION LINES[J].Mathematical Problems in Engineering: Theory, Methods and Applications,2004(3):209-223.
[14]	Huang Z Y;Wu Z.An Application of Dynamic Programming Principle in Corporate International Investment and Consumption Choice Problem[J].MATHEMATICAL PROBLEMS IN ENGINEERING,2010:ArticleID472867.
[15]	Vincenzo Marano;Gianfranco Rizzo;Francesco Antonio Tiano.Application of dynamic programming to the optimal management of a hybrid power plant with wind turbines, photovoltaic panels and compressed air energystorage[J].Applied energy,2012:849-859.
[16]	R. Balamurugan;S. Subramanian .Hybrid integer coded differential evolution - dynamic programming approach for economic load dispatch with multiple fuel options[J].Energy conversion & management,2008(4):608-614.
[17]	S. Senthil Kumar;V. Palanisamy .A dynamic programming based fast computation Hopfield neural network for unit commitment and economic dispatch[J].Electric Power Systems Research,2007(8):917-925.
[18]	Guo Z H;Dong Y;Wang J Z.The Forecasting Procedure for Long Term Wind Speed in the Zhangye Area[J].MATHEMATICAL PROBLEMS IN ENGINEERING,2010:ArticleID684742.

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