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| 原油蒸馏装置及其换热网络的协同优化 |
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黄小侨1,2,张宛丽1,单越2,李如春1,李军1,宋丽娟3
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(1.中国石油大学(华东)化学工程学院,山东青岛 266580;2.中国石油燃料油有限责任公司,北京 100102;3.辽宁石油化工大学化学化工与环境学部,辽宁抚顺 113001)
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| 摘要: |
| 利用流程模拟软件aspen plus建立原油蒸馏装置和耦合换热网络的稳态模型,以经济利润最大和系统热负荷最小为目标,利用多目标遗传优化算法对常减压系统进行优化研究,并获得相应的帕内托(Pareto)最优解集,在权衡经济利润和系统热负荷目标后选择最优操作工况,利用aspen能量分析器(AEA)对优化前后常减压系统的换热网络进行夹点分析。结果表明:与初始工况相比,最优工况的经济利润增长了6.12％,热负荷下降了3.57％,蒸馏产品产量增加了2.82％,冷热公用工程消耗量分别下降了20.35％和21.13％,该协同优化方法能有效优化常减压系统。 |
| 关键词: 原油蒸馏装置 换热网络 协同优化 流程模拟 遗传算法 |
| DOI：10.3969/j.issn.1673-5005.2019.01.020 |
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| 文献标识码:: |
| 基金项目:国家自然科学基金项目(21276279);山东省优秀中青年科学家科研奖励基金项目(BS2014NJ010) |
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| Collaborative optimization of a crude oil distillation system and coupled heat exchanger network |
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HUANG Xiaoqiao1,2, ZHANG Wanli1, SHAN Yue2, LI Ruchun1, LI Jun1, SONG Lijuan3
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(1.School of Chemical Engineering in China University of Petroleum(East China), Qingdao 266580, China;2.PetroChina Fuel Oil Company Limited, Beijing 100102, China;3.College of Chemistry, Chemical Engineering and Environmental Engineering, Liaoning Shihua University, Fushun 113001, China)
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| Abstract: |
| The steady simulation model of crude oil distillation unit and its coupled heat exchange network was established using the process simulation software aspen plus. With the goal of maximizing the economic profit and minimizing the system heat duty, the multi-objective genetic optimization algorithm was used to optimize the atmospheric and vacuum system. The corresponding Pareto optimal solution set was obtained.And the optimal operating conditions was selected from the Pareto optimal solution set after making a trade-off between economic benefit and the system heat duty. The aspen energy analyzer (AEA) was used to analyze the pinch point of the heat exchange network of the atmospheric and vacuum system before and after optimization. The results show that, compared with the initial working condition the economic profit of the optimal working condition is increased by 6.12％, the heat load is decreased by 3.57％, the output of distilled products increased by 2.82％, and the consumption of hot and cold public utilities decreased by 20.35％ and 21.13%, respectively. It is concluded that the collaborative optimization method can effectively optimize the atmospheric and vacuum system. |
| Key words: crude oil distillation unit heat exchanger network collaborative optimization process simulation genetic algorithm |
