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Research Of Air Separation Oxygen Producing And Energy Saving Optimization In Iron And Steel Enterprises

Posted on:2016-04-17Degree:MasterType:Thesis
Country:ChinaCandidate:G L ChenFull Text:PDF
GTID:2191330461999420Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
Iron and steel industry is one of the most important basic industries of our national economy. It has made irreplaceable contribution to the country’s rapid economic development, while it also brings high resource consumption and heavy pollution. How to save resource and reduce emission has been an important research topic to iron and steel enterprises. The technology gases, that is, oxygen, nitrogen and argon, are used in the iron and steel smelting process. They are important secondary resources to the enterprises, and play important roles in the development of the iron and steel enterprises.But compared with the developed countries, the problem of large amount of oxygen loss, high production cost and low utilization rates exist in the iron and steel enterprises in China. It is urgent to improve the utilization of oxygen system and reduce resource consumption. Therefore, how to scientifically organize the production scheme is worthy of study. Main research contents in this thesis are as follows:(1) This paper introduces the research background and significance of the research, and also analysis the current problems existing in the iron and steel enterprise and also includes research status.(2) Based on the oxygen systems of a well-known domestic large steel enterprise, existing operation conditions and resource consumption characteristics are thoroughly analyzed. It is found that the mismatch between various parts of production scheme is the key problem in resource consumption.(3) Oxygen system optimization scheduling model is set up with minimizing the oxygen loss rate and maxing economic benefits as objective functions, and technological conditions as constraints. An improved particle swarm optimization algorithm is proposed to solve the multi-objective optimization problem. The simulation results show that the optimization model is effective and feasible.(4) The proposed optimization model and algorithm are developed with the Citect configuration software. They are applied in the production management systems in the steel enterprise and have achieved some economic benefits.
Keywords/Search Tags:iron and steel enterprises, oxygen system the multi-objective optimization model, particle swarm optimization algorithm
PDF Full Text Request
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