SCI和EI收录∣中国化工学会会刊

Chin.J.Chem.Eng. ›› 2013, Vol. 21 ›› Issue (5): 520-528.DOI: 10.1016/S1004-9541(13)60530-3

• PROCESS SYSTEMS ENGINEERING • Previous Articles     Next Articles

Modeling and Optimization of the Steam Turbine Network of an Ethylene Plant

LI Zeqiu, ZHAO Liang, DU Wenli, QIAN Feng   

  1. Key Laboratory of Advanced Control and Optimization for Chemical Process (Ministry of Education), East China University of Science and Technology, Shanghai 200237, China
  • Received:2012-07-30 Revised:2012-10-31 Online:2013-05-31 Published:2013-05-28
  • Supported by:

    Supported by the Major State Basic Research Development Program of China (2012CB720500), the National Natural Science Foundation of China (U1162202), the National Science Fund for Outstanding Young Scholars (61222303) and the National Natural Science Foundation of China (21276078, 61174118, 21206037).

Modeling and Optimization of the Steam Turbine Network of an Ethylene Plant

李泽秋, 赵亮, 杜文莉, 钱锋   

  1. Key Laboratory of Advanced Control and Optimization for Chemical Process (Ministry of Education), East China University of Science and Technology, Shanghai 200237, China
  • 通讯作者: QIAN Feng
  • 基金资助:

    Supported by the Major State Basic Research Development Program of China (2012CB720500), the National Natural Science Foundation of China (U1162202), the National Science Fund for Outstanding Young Scholars (61222303) and the National Natural Science Foundation of China (21276078, 61174118, 21206037).

Abstract: In this paper, we developed a hybrid model for the steam turbines of a utility system, which combines an improved neural network model with the thermodynamic model. Then, a nonlinear programming (NLP) model of the steam turbine network is formulated by utilizing the developed steam turbine models to minimize the total steam cost for the whole steam turbine network. Finally, this model is applied to optimize the steam turbine network of an ethylene plant. The obtained results demonstrate that this hybrid model can accurately estimate and evaluate the performance of steam turbines, and the significant cost savings can be made by optimizing the steam turbine network operation at no capital cost.

Key words: hybrid model, steam turbine network, utility system, economic objective

摘要: In this paper, we developed a hybrid model for the steam turbines of a utility system, which combines an improved neural network model with the thermodynamic model. Then, a nonlinear programming (NLP) model of the steam turbine network is formulated by utilizing the developed steam turbine models to minimize the total steam cost for the whole steam turbine network. Finally, this model is applied to optimize the steam turbine network of an ethylene plant. The obtained results demonstrate that this hybrid model can accurately estimate and evaluate the performance of steam turbines, and the significant cost savings can be made by optimizing the steam turbine network operation at no capital cost.

关键词: hybrid model, steam turbine network, utility system, economic objective