炼油工业生产计划系统的研究

为了改进炼油厂制定生产计划的决策过程，提高炼厂的科学管理水平，研究并开发了基于炼油过程仿真的优化生产计划系统，它使计划编制和炼油工艺过程及市场对油品的需求状况紧密结合起来，从而提高了生产计划系统的实用性，使制定的生产计划更准确地指导炼厂的实际生产，提高了企业的经济效益。本文给出了基于炼油过程仿真优化生产计划系统的框架结构，优化原理，应用情况和其在FR－CIMS中的位置。     

对炼油企业提高能效的几点建议

回顾了近几年中国石化炼油企业的节能成效,分析了新建炼厂和改扩建炼厂能耗偏高的原因,指出了新建和改扩建炼厂挖掘节能潜力的方向,提出了炼油企业提高能效的几点建议。     

炼厂气综合利用方案优化选择

利用先进工艺技术,对炼厂气中的高附加值组分进行回收利用,对炼油企业降低运行成本、提高经济效益具有十分重要的意义。本文通过对比分析当前几种炼厂气综合回收利用工艺的技术特点,结合企业资源平衡现状和需求,提出洛阳石化炼厂气的优化选择方案。     

国外待售石油化工设备和装置信息

中国石化信息所炼油情报研究室现有部分国外待售的石油化工设备和装置的信息,请对这些设备和装置感兴趣或希望得到国外其它炼油和石化设备、装置及炼厂等信息的企业和单位,尽快与我们联系,我们愿竭诚为您服务。     

炼油行业能耗现状及优化技术进展

节能降耗对于我国炼油企业应对能源供需矛盾、提高经济效益、增强国际竞争实力、推动能源和环境的可持续发展具有重要的现实意义和战略意义。我国炼厂节能降耗具有巨大潜力,利用系统工程的技术手段,优化装置间的热联合及能量回收,将进一步提高我国炼油企业的整体能耗水平。     

炼厂原油加工损失的计算与研究

原油加工损失产生于油品储运损失、装置加工损失等炼油加工过程中的各个环节.原油加工损失率反应原油在加工过程中的损失程度,其数值直接关系到炼油企业的经济效益,炼油企业都把原油加工损失率作为关键技术经济指标.重点介绍了原油加工损失的主要研究内容,确定或建立了从装置到系统的各环节加工损失数学模型,并编制了炼油系统基准加工损失计算软件,最后给出了结论和建议.计算出的炼厂加工损失值可为企业生产计划安排提供理论依据.     

创新的炼油技术——世界炼油技术的新发展之二

介绍了为生产清洁／超清洁燃料和提高炼厂经济效益而已经或正在开发的创新炼油技术。     

海能达QH1327集群通信系统为湛江东兴石油建构无缝专业通信网络

湛江东兴石油企业有限公司是一家中外合作炼油企业，于1993年12月建成投产，2002年3月，为统筹优化华南地区的炼厂布局，被中国石化集团公司收购，成为集团公司直属管理的炼油企业。年加工能力500万吨，年销售收入100亿元以上。     

炼厂水处理剂高效除油除渣

由中国石化抚顺石油化工研究院开发成功的新型炼厂污水处理剂，在中国石化镇海炼化分公司工业应用后显示，可有效提高炼油企业废水废渣的治理水平，达到了国内炼油企业污水处理技术的领先水平。日前这种新型污水处理剂已获3项中国专利授权并具有自主知识产权。     

瓦斯发电技术在炼厂中的应用

现代化的炼油企业中，随着加工能力的提高和原料性质的变重，炼厂瓦斯气越来越多，如何利用好这些瓦斯气，让其变废为宝，成为节能减排的一个重要课题。对瓦斯发电项目在炼厂中的应用进行了探讨，提出了一些建议。     

Optimization of refinery hydrogen network based on chance constrained programming

Deterministic optimization approaches have been developed and used in the optimization of hydrogen network in refinery. However, uncertainties may have a large impact on the optimization of hydrogen network. Thus the consideration of uncertainties in optimization approaches is necessary for the optimization of hydrogen network. A novel chance constrained programming (CCP) approach for the optimization of hydrogen network in refinery under uncertainties is proposed. The stochastic properties of the uncertainties are explicitly considered in the problem formulation in which some input and state constraints are to be complied with predefined probability levels. The problem is then transformed to an equivalent deterministic mixed-integer nonlinear programming (MINLP) problem so that it can be solved by a MINLP solver. The solution of the optimization problem provides comprehensive information on the economic benefit under different confidence levels by satisfying process constraints. Based on this approach, an optimal and reliable decision can be made, and a suitable compensation between the profit and the probability of constraints violation can be achieved. The approach proposed in this paper makes better use of resources and can provide significant environmental and economic benefits. Finally, a case study from a refinery in China is presented to illustrate the applicability and efficiency of the developed approach.     

Decision support for integrated refinery supply chains: Part 2. Design and operation

Supply chain management has continually attracted much attention as companies are constantly looking into areas where they can cut costs and improve profit margin while maintaining customer satisfaction. Optimizing design and operation of the supply chain is vital for this purpose. Simulation models that capture the dynamics and uncertainties of the supply chain can be used to effectively conduct design and operation optimization studies. In Part 1 of this two-part paper, we proposed an integrated refinery supply chain dynamic simulator called Integrated Refinery In-Silico (IRIS). Here, we demonstrate the application of IRIS to provide decision support for optimal refinery supply chain design and operation based on a simulation–optimization framework. Three case studies are presented: identifying the optimal strategy to deal with supply disruptions, optimization of design decisions regarding additional capacity investments, and optimization of policies’ parameters. These decisions are optimized for two objectives: profit margin and customer satisfaction. The framework consists of a linkage between IRIS and a non-dominated sorting genetic algorithm, implemented in a parallel computing environment for computational efficiency. Results indicate that the proposed framework works well for supporting policy and investment decisions in the integrated refinery supply chain.     

新技术在常减压蒸馏装置中的应用——超声波破乳

电脱盐效果好坏,不仅关系到常减压蒸馏装置能否正常运行,而且将影响整个炼厂开工周期和环境排放指标.介绍了超声波破乳的原理和特点,以及在常减压蒸馏装置中的应用.通过和破乳剂破乳进行对比,超声波破乳脱盐效果好,能够满足工艺要求,并对节能减排,降低炼厂长期投资有显著效果.     

节能降耗改扩建项目经济评价浅议

节能降耗项目绝大多数是在已有装置基础上实施的改扩建项目。炼油化工节能降耗项目经济评价,增量效益和增量费用可直接计算,可以将"有无对比法"简化为直接增量分析方法。既有企业节能降耗项目的实施,只是降低相应燃料动力价格中的变动成本部分,项目经济评价应采用变动成本价格;若采用市场价格,会导致高估项目经济效益的偏差。     

炼厂干气在流化床锅炉上的尝试应用

延长石油集团延安炼油厂首创对三台75t/h燃煤流化床锅炉进行掺烧干气改造,充分回收利用了炼厂富裕干气,实现技术革新节能环保的目标,带来巨大效益。     

节能降耗改扩建项目经济评价浅议

节能降耗项目绝大多数是在已有装置基础上实施的改扩建项目.炼油化工节能降耗项目经济评价,增量效益和增量费用可直接计算,可以将"有无对比法"简化为直接增量分析方法.既有企业节能降耗项目的实施,只是降低相应燃料动力价格中的变动成本部分,项目经济评价应采用变动成本价格;若采用市场价格,会导致高估项目经济效益的偏差.     

世纪之交的炼油工业

环境保护是２１世纪的主题，地球将变得更加清洁，世界炼油工业环保和工艺方面面临挑战和机遇。阐述了２１世纪前期将可能实现工业化的新技术、新工艺以及具有高收率、高能源利用率，低污染辐射和较好经济效益的新一代炼油厂构型。     

加氢裂化装置长周期运行分析

生产装置长周期运行为炼化企业带来的效益是巨大的,长周期运行是企业降低生产成本,提高经济效益的最有效措施。本论文从四个方面深入阐述了确保加氢裂化装置长周期运行的措施:提高操作员的业务素质;加强班组建设;加强加氢裂化装置工艺及设备的管理。     

提高炼厂经济效益的资源配置优化方案运行分析

采用原油配比优化、加工流程优化和整体生产优化方案对某石亿公司炼油厂的原油进行了资源优化,分析了资源配置优化对产品质量和经济效益的影响,运行结果分析表明资源优化配置方案实施后经济效益显著,合理优化资源能取得较好的经济效益。     

Integrated crude selection and refinery optimization under uncertainty

Crude oil selection and procurement is the most important step in the refining process and impacts the profit margin of the refinery significantly. Due to uncertain quality of the crudes, conventional deterministic modeling and optimization methods are not suitable for refinery profitability enhancement. Therefore, a novel optimization scheme for crude oil procurement integrated with refinery operations in the face of uncertainties is presented. The decision process comprises two stages and is solved using a scenario‐based stochastic programming formulation. In Stage I, the optimal crude selections and purchase amounts are determined by maximizing the expected profit across all scenarios. In Stage II, the uncertainties are realized and optimal operations for the refinery are determined according to this realization. The resulting large‐scale mixed‐integer nonlinear programming formulation incorporates integer variables for crude selection and continuous variables for refinery operations, as well as bilinear terms for pooling processes. Nonconvex generalized Benders decomposition is used to solve this problem to obtain an global optimum efficiently. © 2015 American Institute of Chemical Engineers AIChE J, 62: 1038–1053, 2016