Modeling, Simulation, and Control of Steam Generation Processes

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
G. Dieck-Assad, José Luis Vega-Fonseca, Isaías Hernández Ramírez, A. Favela-Contreras
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引用次数: 0

Abstract

This chapter describes a modeling methodology to provide the main characteristics of a simulation tool to analyze the steady state, transient operation, and control of steam generation processes, such as heat recovery steam generators (HRSG). The methodology includes a modular strategy that considers individual heat exchangers such as: economizers, evapo-rators, superheaters, drum tanks, and control systems. The modular strategy consists of the development of a numerical modeling tool that integrates sub-models based upon first principle equations of mass, energy, and momentum balance. The main heat transfer mech- anisms characterize the dynamics of steam generation systems during normal and abnor-mal operations, which include the response of key process variables such as vapor pressure, temperature, and mass flow rate. Other important variables are: gas temperature, fluid temperature, drum pressure, drum ’ s liquid level, and mass flow rate at each module. Those variables are usually analyzed with design predicted performance of real industrial equip- ment such as HRSG systems. Finally, two case studies of the application of the modeling strategy are provided to show the effectiveness and utility of the methodology.
蒸汽生成过程的建模、仿真和控制
本章描述了一种建模方法,提供了一种模拟工具的主要特征,用于分析蒸汽产生过程的稳态、瞬态运行和控制,例如热回收蒸汽发生器(HRSG)。该方法包括一个模块化的策略,考虑单独的热交换器,如:省煤器,蒸发器,过热器,鼓罐和控制系统。模块化策略包括开发一个数值建模工具,该工具集成了基于质量、能量和动量平衡的第一性原理方程的子模型。主要的传热机制表征了蒸汽发生系统在正常和异常运行时的动力学特性,包括关键过程变量(如蒸汽压力、温度和质量流量)的响应。其他重要的变量是:气体温度,流体温度,汽包压力,汽包液位和每个模块的质量流量。这些变量通常是用实际工业装备(如余热sg系统)的设计预测性能来分析的。最后,提供了两个建模策略应用的案例研究,以显示该方法的有效性和实用性。
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来源期刊
ACM Transactions on Modeling and Computer Simulation
ACM Transactions on Modeling and Computer Simulation 工程技术-计算机:跨学科应用
CiteScore
2.50
自引率
22.20%
发文量
29
审稿时长
>12 weeks
期刊介绍: The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods. The use of simulation techniques is pervasive, extending to virtually all the sciences. TOMACS serves to enhance the understanding, improve the practice, and increase the utilization of computer simulation. Submissions should contribute to the realization of these objectives, and papers treating applications should stress their contributions vis-á-vis these objectives.
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