详细信息

冷箱脱甲烷系统能量耦合建模与全局优化    

Energy Coupling Modeling and Global Optimization of Chilling Train and Demethanization System

文献类型:期刊文献

中文题名:冷箱脱甲烷系统能量耦合建模与全局优化

英文题名:Energy Coupling Modeling and Global Optimization of Chilling Train and Demethanization System

作者:黄伶翔[1];叶贞成[1];沈菲菲[1];钱锋[1]

机构:[1]华东理工大学,化工过程先进控制和优化技术教育部重点实验室,上海200237

年份:2020

卷号:27

期号:11

起止页码:1873

中文期刊名:控制工程

外文期刊名:Control Engineering of China

收录:CSTPCD;;北大核心:【北大核心2017】;CSCD:【CSCD_E2019_2020】;

基金:国家自然科学基金重点项目(61533003,61590922);国家自然科学基金青年项目(21506050);国家杰出青年科学基金(61725301)。

语种:中文

中文关键词:冷箱脱甲烷系统;能量耦合建模;分凝分离器;全局优化;能质高效利用

外文关键词:Chilling train and demethanization system;energy coupling modeling;dephlegmator;global optimization;efficient use of energy and materials

摘要:乙烯分离装置中冷箱脱甲烷系统的冷量消耗占全装置的50%以上。采用Aspen plus对改进的前脱丙烷流程的冷箱脱甲烷系统以及乙烯、丙烯压缩透平系统进行能量耦合建模,其中分凝分离器(Dephlegmator)、脱甲烷塔、乙烯塔和压缩机等关键设备模拟结果与实际数据相对误差在2%以内。构建冷箱脱甲烷系统全局优化模型,根据生产工艺分析,确定优化变量为不同等级冷剂用量和裂解气出口温度,通过灵敏度分析得到优化变量对系统能量消耗和乙烯损失的影响。使用序贯二次规划法(SQP)求解有约束非线性规划模型(NLP),优化后乙烯损失量由71 kg·hr^-1降至35 kg·hr^-1高压蒸汽消耗总量减少0.6%,系统能量消耗和乙烯损失经济加权目标函数值较优化前降低2.83%,实现了系统能质高效利用。
In large scale ethylene industry,the total cooling consumption of the chilling train and demethanization system accounts for more than 50%of the ethylene separation section.Aspen plus is used to establish an energy coupling model for the chilling train and demethanization system including the ethylene and propylene compressor-turbine system of the improved front-end depropanization process.Furthermore,the simulation results of key equipment such as the dephlegmator,the demethanizer,the ethylene splitter and the compressor are in consistent with actual conditions with a relative deviation of no more than 2%.A global optimization model aiming at the efficient use of energy and materials is constructed.The decision variables are mass flowrate of different refrigerants and outlet temperatures of cracking gas according to industrial conditions.Through sensitivity analysis,the influence of optimized variables on system energy consumption and ethylene loss is obtained.The constrained nonlinear programming(NLP)model is solved by sequential quadratic programming(SQP).The loss of ethylene is reduced from 71 kg·hr^-1 to 35 kg·hr^-1 after optimization.The total high-pressure steam consumption of turbines is reduced by 0.6%.The energy consumption and ethylene loss economic weighted objective function value is decreased by 2.83%,which means the goal of efficient use of energy and materials is achieved.

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