Journal of South China University of Technology (Natural Science Edition) ›› 2011, Vol. 39 ›› Issue (3): 8-12.doi: 10.3969/j.issn.1000-565X.2011.03.002

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Simultaneous Module-Based Optimization of Operation Parameters of Dryer Section in Paper Machine

 Li Yu-gang  Liu Huan-bin  Li Ji-geng  Tao Jin-song  Lin Zhi-zuo   

  1. State Key Laboratory of Pulp and Paper Engineering，South China University of Technology，Guangzhou 510640，Guangdong，China
  • Received:2010-10-19 Revised:2010-12-22 Online:2011-03-25 Published:2011-02-01
  • Contact: 陶劲松(1976-)，男，讲师，主要从事制浆造纸过程优化与节能研究 E-mail:jstao@scut．edu．cn
  • About author:李玉刚(1983-)，男，博士生，主要从事纸张干燥过程优化与节能研究
  • Supported by:

    粤港关键领域重点突破招标项目(20070109-2)；广东省科技计划项目(2007B050200010)

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Abstract:

 In this paper,by analyzing the characteristics of the energy system of the dryer section in paper machines,a nonlinear programming（NLP） model of the system energy is established,and the corresponding optimization method is proposed.In the method,the dryer section is divided into several functional modules,and the process model of each module is set up based on material and energy balance.By using the operation parameter ranges as the constraints and by taking the minimum energy consumption per unit product as the objective,the ope-ration parameters corresponding to the minimum energy consumption are determined with the help of the algorithm presented in Matlab.It is found that the proposed NLP model is well adaptive and convenient for the energy optimization at different operation parameters,concretely,for newsprint machines,the energy consumption in the dryer section reduces by about 6%.

Key words: Paper Machine Dryer Section, Energy System, Simultaneous Modular Method, NLP, Parameter Optimization