通用炼油厂水系统优化模型开发与应用
发布时间:2019-06-21 21:05
【摘要】:传统水系统优化往往只考虑了新鲜水用量,而忽视了除盐水、除氧水、各等级蒸汽、蒸汽冷凝水、循环冷却水等类型的水,缺乏对各类型水量关联性的研究。针对这种局限性,提出了包含多种类型水的通用用水过程模型,以及通用炼油厂水系统优化的超结构和相应的数学模型,模型中集成了各装置及各种类型水之间关联的物料衡算方程。利用商业软件GAMS对某炼油厂的水系统进行建模求解,案例分析结果表明,除盐水用量有所下降,回用水用量增加,在优化前后雨水量保持469.36 t·h-1的情况下,系统的新鲜水用量从489.44 t·h~(-1)减小到283.94t·h~(-1),以系统新鲜水量和雨水量之和为基准,节水率达到21.4%。加工吨原油取水量从0.649 t减小至0.510 t,接近国内先进水平。案例研究表明,提出的优化模型能够有效地计算整个炼油厂水系统的新鲜水用量,验证了该模型的实用性。
[Abstract]:The optimization of traditional water system often only considers the amount of fresh water, but neglects the types of water, such as desalting water, deaerated water, steam, steam condensate, circulating cooling water and so on, and lacks the research on the correlation of each type of water. In view of this limitation, a general water use process model containing many types of water, as well as the superstructure and corresponding mathematical model of water system optimization in general refinery are put forward, in which the material balance equations related to each plant and various types of water are integrated. The commercial software GAMS is used to model and solve the water system of a refinery. The results of case analysis show that the amount of desalted water decreases and the amount of reused water increases. When the rain water quantity is kept at 469.36 t 路h ~ (- 1) before and after optimization, the amount of fresh water in the system decreases from 489.44 t 路h ~ (- 1) to 283.94 t 路h ~ (- 1). Based on the sum of fresh water quantity and rain water quantity, the water saving rate reaches 21.4%. The water intake of processed tons of crude oil decreased from 0.649 t to 0.510 t, which was close to the domestic advanced level. The case study shows that the proposed optimization model can effectively calculate the fresh water consumption of the whole refinery water system, and the practicability of the model is verified.
【作者单位】: 中国石油大学(北京)化学工程学院重质油国家重点实验室;中国石油大学(北京)新能源研究院;西安交通大学化学工程与技术学院;
【基金】:国家自然科学基金项目(21576287) 中国博士后科学基金项目(2015M570215) 中国石油大学(北京)科研基金项目(2462015BJB02,2462015YQ0305)~~
【分类号】:TE685
本文编号:2504349
[Abstract]:The optimization of traditional water system often only considers the amount of fresh water, but neglects the types of water, such as desalting water, deaerated water, steam, steam condensate, circulating cooling water and so on, and lacks the research on the correlation of each type of water. In view of this limitation, a general water use process model containing many types of water, as well as the superstructure and corresponding mathematical model of water system optimization in general refinery are put forward, in which the material balance equations related to each plant and various types of water are integrated. The commercial software GAMS is used to model and solve the water system of a refinery. The results of case analysis show that the amount of desalted water decreases and the amount of reused water increases. When the rain water quantity is kept at 469.36 t 路h ~ (- 1) before and after optimization, the amount of fresh water in the system decreases from 489.44 t 路h ~ (- 1) to 283.94 t 路h ~ (- 1). Based on the sum of fresh water quantity and rain water quantity, the water saving rate reaches 21.4%. The water intake of processed tons of crude oil decreased from 0.649 t to 0.510 t, which was close to the domestic advanced level. The case study shows that the proposed optimization model can effectively calculate the fresh water consumption of the whole refinery water system, and the practicability of the model is verified.
【作者单位】: 中国石油大学(北京)化学工程学院重质油国家重点实验室;中国石油大学(北京)新能源研究院;西安交通大学化学工程与技术学院;
【基金】:国家自然科学基金项目(21576287) 中国博士后科学基金项目(2015M570215) 中国石油大学(北京)科研基金项目(2462015BJB02,2462015YQ0305)~~
【分类号】:TE685
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