1,4-丁二醇脱水产物间歇精馏分离动态过程与优化

为高效分离提纯1,4-丁二醇脱水产物中的3-丁烯-1-醇,本文设计了一种间歇精馏工艺。针对体系组成和性质将其切割为轻组分、中间组分和重组分三部分,并基于Aspen Batch Distillation模块,对间歇精馏过程进行建模,通过均匀设计的思路对操作参数进行了优化。实验与模拟结果比较表明,Aspen Batch Distillation模块可以较好地模拟1,4-丁二醇脱水产物的间歇精馏过程。通过均匀设计对操作参数进行优化,所得的轻组分回流比、中间组分回流比、塔釜温度、轻组分接收器结束条件和中间组分接收器结束条件分别为14.91、17.00、180℃、73.81℃、117.69℃。采用优化后的操作参数,间歇精馏过程可以得到纯度为95.1%、单程收率为73.2%的3-丁烯-1-醇,比优化之前分别提高了1.9%和11.3%。研究结果为1,4-丁二醇脱水制备3-丁烯-1-醇的工业化实施提供了支撑。     

某化工系统流程的Aspen Plus软件模拟分析

利用Aspen Plus软件对某化工系统流程模拟,并查看各物流结果。应用实例表明,在化工生产中应用Aspen Plus软件可以优化生产,对设备和整套生产装置的操作参数进行模拟,从而实现装置设计优化。     

乙腈精制过程优化研究

运用Aspen Plus模拟平台的优化功能,以能耗最小为目标,产品质量为约束,建立了乙腈精制工艺的全流程优化模型.模拟优化结果同时得到了所有调节变量的最优操作点,为装置的整体设计和操作优化提供了依据.     

Excel及化工流程模拟软件在化工专业设计课程中的应用

本文介绍了Excel软件和化工流程模拟软件Aspen plus分别在化工原理课程设计和专业综合上的应用,强调了化工原理课程设计中加强学生对专业基础知识和单元设备设计步骤、方法的训练,专业综合设计强化学生对设备设计的优化、过程设计的优化及车间布置等方面工程能力培养的教学理念。     

Aspen Plus在煤气化中的应用

Aspen Plus是一种基于稳态化工模拟、优化、灵敏度分析和经济评价的大型化工流程模拟软件,由于其优良的性能而被广泛应用于化工领域。文章主要介绍了Aspen Plus软件的特点,并且综述了近几年来Aspen Plus在煤气化领域中的研究成果和发展概况。     

溶剂法顺酐回收工艺解吸流程模拟

随着我国生产技术不断提高,顺酐等化工原料被大量应用于制造、化工等行业。顺酐回收是顺酐生产的重要操作流程之一。Aspen Plus作为大型通用工艺流程模拟系统,其具备回归实验数据、提供真实的操作模型、装置流程模拟等性能。     

N-甲基吡咯烷酮生产分离系统的模拟计算与优化

应用化工流程模拟软件Aspen Plus对N-甲基吡咯烷酮生产工艺中的分离系统进行模拟,将脱轻塔和脱重塔的操作方式由间歇操作改为连续操作,并对连续操作的脱轻塔和脱重塔的塔板数、进料位置、回流比等操作参数进行了优化。结果表明,优化的脱轻塔和脱重塔的适宜塔板数、进料板位置、最佳回流比分别为10,6,0.10和18,11,0.375。在此条件下,产品纯度达到99.40%,符合分离要求。     

新型抗精神病药物盐酸鲁拉西酮的合成研究进展

盐酸鲁拉西酮是一种新型的抗精神病药物。归纳了该原料药的合成方法,根据起始原料的光学纯度、中间体的不同可将合成路线分为三大类,并且对这三类方法进行了比较分析,总结出各自的优缺点,从而为该原料药的制备研究提供参考。     

Aspen Plus在化工类专业本科毕业设计中的应用与思考

化工生产属于过程工业的范畴,因此化工类专业教育非常注重化工过程分析、合成、模拟与优化等教学内容。毕业设计是化工类专业最重要的一次综合性实践教学,工艺流程模拟是毕业设计任务中极为重要的一环。本文以丙烷脱氢制丙烯工艺过程设计为例,介绍了Aspen Plus流程模拟软件在化工类专业本科毕业设计中的应用及教学心得体会,以期能够为化工类专业学生顺利完成毕业设计任务和教师指导实践教学提供参考。     

Aspen Plus在超临界流体技术中的应用研究进展

Aspen Plus是集生产装置设计、稳态模拟和优化于一体的大型通用流程模拟系统,可用于医药、化工等多种工程领域的工艺流程模拟、工程性能监控、优化等贯穿于整个生命周期的过程行为。超临界流体技术作为一项新兴的绿色环保技术,近年来在理论研究、工程应用及发展方向等方面得到了科研工作者们的广泛关注,但基础数据和理论模型匮乏、运行成本较高等问题阻碍了该技术的工业化进展。本文将Aspen Plus软件应用于超临界流体技术,介绍了Aspen Plus模拟软件的主要功能,综述了Aspen Plus模拟软件在超临界流体技术领域科研开发、工业过程设计及优化、生产过程中能耗问题的应用情况,同时也指出了Aspen Plus在模拟超临界流体技术中的不足。     

基于样条插值模型的间歇精馏模拟与预测控制

以Aspen Batch Distillation（ABD）中的间歇精馏仿真系统为过程原型,提出了利用过程的模拟测试数据来建立间歇精馏过程的样条插值简化模型（spline interpolation model, SIM）。结合变回流比下的动态修正函数,构造出了一种简单实用的动态模型。该模型可有效模拟不同组分浓度下回流比发生变化时馏出液浓度和流量的动态变化情况。以该模型作为预测模型,进一步提出了一种变回流比的预测控制（model predictive control, MPC）算法来使馏出液浓度按照期望的设定值变化。控制仿真结果表明该控制方案计算简单,同时具有较好的控制效果。     

A systems engineering perspective on process integration in industrial biotechnology

Biotechnology has many applications in health care, agriculture, industry and the environment. By using renewable raw materials, biotechnology contributes to lowering greenhouse gas emissions and moving away from a petro‐based towards a circular sustainable economy. However, major developments are still needed to make industrial biotechnology an economic alternative to conventional processes for fuels, specialty and/or bulk chemicals production. Process integration is a holistic approach to process design, which emphasizes the unity of the process and considers the interactions between different unit operations from the outset, rather than optimizing them separately. Furthermore, it also involves the substitution of two or more unit operations by one single novel unit capable of achieving the same process goal. Conversely, process systems engineering (PSE) deals with the analysis, design, optimization, operation and control of complex process systems, as well as the development of model‐based methods and tools that allow the systematic development of processes and products across a wide range of systems involving physical and chemical change. Mature tools and applications are available for chemical technology and steps have been taken to apply PSE principles also to bioprocess technology. This perspective paper argues that an interdisciplinary approach is needed towards integrated bio‐processing in order to link basic developments in biosciences with possible industrial applications. PSE can foster the application of existing and the development of new methods and tools for bioprocess integration that could promote the sustainable production of bio‐/chemical products. The inclusion of PSE principles and methods in biochemical engineering curricula and research is essential to achieve such goals. © 2014 Society of Chemical Industry     

多目标零等待间歇生产过程多任务调度

间歇生产过程已经成为化工生产制造技术的基础和关键,该过程生产出大量产品来满足日常生活需要。然而经济全球化使得传统的化工生产过程产业面临严重的挑战。为了保持竞争力,每个企业必须优化生产技术,加强管理。其中调度是化工企业生产管理的核心技术。针对化工过程自身的多目标和零等待等特性,研究了间歇生产过程中的多目标零等待多任务调度,并提出该问题的模型和优化方法。通过将该问题分解成两个子问题来解决：采用非延迟非秩序混合方法来解决时间表分配问题以及用带存储的完全局部搜索解决排序问题。此外多目标占优采用基于SPEA2中的策略。通过大量算例的仿真实验证明了该算法的可行性和有效性。     

CAPE in der Verfahrenstechnik aus industrieller Sicht – Status,Bedarf, Prognose oder Vision?

CAPE in chemical engineering from an industrial viewpoint – Status, demands, outlook. The use of computers for solving chemical process problems is steadily gaining in importance. Simulation, design, optimization, and synthesis of processes are the main applications. The working group “Process simulation and process design” in the Dechema specialist committee “Use of computers in chemical engineering” has discussed the state of the art of simulation tools. Demands of industry on future tools have been outlined and a new simulator concept presented. If this concept is pursued, then interested companies will have to support development. The article presents background information and is intended to stimulate further interest.     

论苯塔操作单元工艺流程模拟研究

准确模拟化T操作单元对实际生产、故障诊断、参数调节有非常重要的指导意义。本文通过使用PROII、AspenPlus和ltysys三种化工流程模拟软件对苯塔操作单元进行工艺模拟研究,探讨适合实际生产的模拟软件及热力学方法,以便指导实际生产、优化操作节能降耗。     

石油化工流程模拟软件现状与发展趋势

流程模拟软件是石油化工行业的核心研发设计软件,其应用已贯穿于技术研发、工程设计、生产优化等全生命周期业务环节。我国石油化工行业使用的商业流程模拟软件90%为国外产品,基本被国外垄断。本文从商业软件的角度,首先对化工流程模拟技术和早期的软件发展进行了回顾,分析了近年来跨国流程工业巨头收购兼并案例和启示。在对石油化工企业和软件供应商调研的基础上,分析了国内流程模拟软件的市场应用情况和自主流程模拟软件的成熟度,阐述了流程模拟软件技术发展的五大趋势：遵循CAPE-OPEN软件接口规范、基于分子级表征和反应动力学建模、数据驱动与工艺机理联合建模、三大集成建模和数字孪生应用等。石化产业需求和市场规模以及科研基础是发展自主流程模拟软件的有利条件,但构建工业软件政产学研用产业生态链,形成产品化和市场化为导向的健康产业环境尤为关键。     

Process systems engineering tools in the pharmaceutical industry

The purpose of this paper is to provide a summary of the current state of the application of process systems engineering tools in the pharmaceutical industry. In this paper, we present the compiled results of an industrial questionnaire submitted to pharmaceutical industry professionals. The topics covered in the questionnaire include process analytics, process monitoring, plant-wide information systems, unit operation modeling, quality control, and process optimization. A futuristic view of what process systems engineering tools will enable the pharmaceutical industry will be also be presented. While the industry is regularly using the traditional Design of Experiments approach to identify key parameters and to define control spaces, these approaches result in passive control strategies that do not attempt to compensate for disturbances. Special new approaches are needed for batch processes due to their essential dependence on time-varying conditions. Lastly, we briefly describe a novel data driven modeling approach, called Design of Dynamic Experiments that enables the optimization of batch processes with respect to time-varying conditions through an example of a simulated chemical reaction process. Many more approaches of this type are needed for the calculation of the design and control spaces of the process, and the effective design of feedback systems.     

Optimal biorefinery product allocation by combining process and economic modeling

The integrated biorefinery has the opportunity to provide a strong, self-dependent, sustainable alternative for the production of bulk and fine chemicals, e.g. polymers, fiber composites and pharmaceuticals as well as energy, liquid fuels and hydrogen. Although most of the fundamental processing steps involved in biorefining are well-known, there is a need for a methodology capable of evaluating the integrated processes in order to identify the optimal set of products and the best route for producing them. The complexity of the product allocation problem for such processing facilities demands a process systems engineering approach utilizing process integration and mathematical optimization techniques to ensure a targeted approach and serve as an interface between simulation work and experimental efforts. The objective of this work is to assist the bioprocessing industries in evaluating the profitability of different possible production routes and product portfolios while maximizing stakeholder value through global optimization of the supply chain. To meet these ends, a mathematical optimization based framework is being developed, which enables the inclusion of profitability measures and other techno-economic metrics along with process insights obtained from experimental as well as modeling and simulation studies.     

基于PSO的间歇生产鲁棒统计过程监控

间歇过程广泛应用于精细化工产品、生物化工产品等高附加值产品的制备.为提高间歇生产的可重复性,提高批次之间产品的一致性,多向主元分析法(MPCA)广泛应用于间歇生产过程的监控.针对MPCA统计监控模型容易受到建模数据中离群点影响的不足,提出了一种基于微粒群优化算法(PSO)的鲁棒MPCA分析方法,并进一步给出了相应鲁棒监控统计量的计算方法.对于链霉素发酵过程的监控表明,相对于普通MPCA,鲁棒MPCA在建模数据中存在离群点时仍能够给出正确的统计监控模型,从而有效减少了建模过程对数据的要求.