| 乙烯装置蒸汽管网用能配置与实时优化 |
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| 引用本文： | 游夏竹,杜文莉,赵亮,李泽秋,钱锋.乙烯装置蒸汽管网用能配置与实时优化[J].化工学报,2013,64(2):641-648. |
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| 作者姓名： | 游夏竹 杜文莉 赵亮 李泽秋 钱锋 |
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| 作者单位： | 华东理工大学,化学工程联合国家重点实验室,化工过程先进控制和 优化技术教育部重点实验室,上海 200237 |
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| 基金项目： | 国家自然科学基金项目重点基金，国家高技术研究发展计划项目，上海市基础研究重点项目，上海市重点学科建设项目 |
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| 摘 要： | 乙烯装置蒸汽管网系统结构复杂,用汽设备多,模型参数复杂多变,其能量配置多依赖经验给出。针对运行过程中管网模型参数的变化,利用支持向量机建立了关键设备的透平蒸汽流量软测量模型,从而为蒸汽管网优化问题提供准确的非线性模型基础。根据物料平衡、能量守恒和产品质量要求建立了能耗视角下的蒸汽管网系统模型,该模型本质上属于混合整数非线性规划问题(MINLP)。采用自适应混合编码差分进化算法(AMCDE)对模型进行求解。最后以某石化厂蒸汽管网系统为研究实例进行仿真,得到了令人满意的优化结果。
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| 关 键 词： | 乙烯装置蒸汽管网 用能优化 差分进化 混合整数非线性规划 |
| 收稿时间： | 2012-08-06 |
| 修稿时间： | 2012-11-19 |
Energy configuration and real-time optimization for polyethylene unit steam piping network |
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| YOU Xiazhu
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DU Wenli
,
ZHAO Liang
,
LI Zeqiu
,
QIAN Feng.Energy configuration and real-time optimization for polyethylene unit steam piping network[J].Journal of Chemical Industry and Engineering(China),2013,64(2):641-648. |
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| Authors: | YOU Xiazhu DU Wenli ZHAO Liang LI Zeqiu QIAN Feng |
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| Affiliation: | State Key Laboratory of Chemical Engineering, Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai 200237, China |
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| Abstract: | The polyethylene unit steam piping network system has a complex structure.It has various kinds of steam equipment, the parameters for the model are complicated and its energy consumption and configuration depend on experience.This paper puts forward the support vector machine as the soft sensor model to establish the accurate non-linear foundation model for the optimization of the steam piping network.A steam piping network model from the viewpoint of energy consumption was constructed based on material balance, energy conservation, and product quality.This model was a problem of mixed integer nonlinear programming (MINLP) calculated with adaptive mixed coding differential evolution (AMCDE).The polyethylene unit steam network of a petrochemical plant was simulated with the model and optimized. |
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| Keywords: | polyethylene unit steam network energy utilization and optimization differential evolution mixed integer nonlinear programming |
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