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吉林化工学院学报, 2025, 42(7): 24-28     https://doi.org/10.16039/j.cnki.cn22-1249.2025.07.005
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基于状态模拟的丙烯精馏塔能耗建模研究
刘涛*,朱建军,董如意,金红娇,李佳怡,李俊
吉林化工学院 信息与控制工程学院,吉林 吉林132022
Research on Energy Consumption Modeling of Propylene Distillation Tower based on State Simulation
LIU Tao*,ZHU Jianjun,DONG Ruyi, JIN Hongjao, LI Jiayi,LI Jun
School of Information and Control Engineering,Jilin Institute of Chemical Technology,Jilin City 132000,China
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摘要 以丙烯精馏塔实际工况数据为基础进行能耗建模研究,建立PRO/II状态模拟模型对丙烯塔进行工艺模拟,对丙烯塔的操作压力、进料温度、回流量进行单项操作参数和组合操作参数的灵敏度进行分析,找到影响丙烯塔的产量、装置冷热负荷能耗的关键操作参数。采用多元回归分析法对提取后的丙烯塔灵敏度数据进行能耗建模,建立丙烯产量与能耗的多目标优化模型,对辨识后的能耗模型经回归方程显著性检验,计算结果显示各组丙烯塔能耗模型的相关系数均达到0.91以上,因此可以说明基于状态模拟数据分析法结合多元回归分析法,所建立的丙烯精馏塔能耗模型是准确的、可靠的,并为丙烯塔的多目标节能优化奠定新的理论基础。
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刘涛
朱建军
董如意
金红娇
李佳怡
李俊
关键词:  丙烯精馏塔   能耗建模   状态模拟   灵敏分析    
Abstract: This paper establishes a PRO/II dynamic simulation model for the propylene distillation column based on actual operational data. It conducts a sensitivity analysis of single operational parameters and combinations of operational parameters, including operating pressure, feed temperature, and reflux ratio, to identify the key operational parameters affecting the yield and thermal energy consumption of the propylene column. A regression analysis method was employed to model the energy consumption of the column, and the significance tests of the regression equations confirm that the developed energy consumption model was accurate and reliable. This research lays a new theoretical foundation for the multi-objective energy-saving optimization of the propylene distillation column.
Key words:  Propylene distillation column    energy consumption modeling    dynamic simulation    sensitivity analysis.
               出版日期:  2025-07-25      发布日期:  2025-12-21      整期出版日期:  2025-07-25
ZTFLH:  TP 23  
引用本文:    
刘涛, 朱建军, 董如意, 金红娇, 李佳怡, 李俊. 基于状态模拟的丙烯精馏塔能耗建模研究[J]. 吉林化工学院学报, 2025, 42(7): 24-28.
LIU Tao, ZHU Jianjun, DONG Ruyi, JIN Hongjao, LI Jiayi, LI Jun. Research on Energy Consumption Modeling of Propylene Distillation Tower based on State Simulation. Journal of Jilin Institute of Chemical Technology, 2025, 42(7): 24-28.
链接本文:  
https://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2025.07.005  或          https://xuebao.jlict.edu.cn/CN/Y2025/V42/I7/24
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