Dynamics and Control of Process Networks with Energy Integration

能量集成过程网络的动力学和控制

• 批准号: 0756363
• 负责人: Prodromos Daoutidis
• 金额: $ 29.23万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-04-01 至 2012-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0756363&HistoricalAwards=false
• 关键词: Dynamics; Control; Process; Networks; Energy

CBET-0756363, DaoutidisEfficient energy utilization is a critical need for the process industries, and for existing and emerging energy production technologies. Energy efficiency is exemplified by energy integration, achieved by transporting energy from where it is generated to where it is needed or can be safely dissipated. The design and optimization of energy-integrated process networks has been an area of rich activity in process systems engineering, with notable impact in industrial practice. However, the advanced control of energy-integrated process networks has received rather limited attention, especially in the context of transitions between different operating states. Yet, this is a critical task for the smart, flexible operation for such networks, and also a challenging one given the ?energy feedback" loops that give rise to a core, typically nonlinear, dynamics in such networks.This research aims at a comprehensive dynamic modeling, model reduction and control framework for process networks with tight energy integration. The emphasis is on the core network dynamics induced by the energy integration: its documentation and rigorous characterization; the derivation of nonlinear reduced-order non-stiff models of these dynamics; and their effective use within a hierarchical control framework.INTELLECTUAL MERITThe intellectual merit promises the development of generic modeling, analysis and control platforms and methods, applicable to a broad range of energy-integrated networks, such as heat-integrated reactors, heat-integrated and thermally coupled distillation columns, heat exchanger networks, and reactor - fuel cell networks. These will enable the development of practically implementable (low- order) robust nonlinear supervisory controllers, and will thus facilitate the efficient and flexible operation of such networks, complementing the existing design and optimization methods. These contributions can potentially impact on the operation of most modern plants featuring tight energy integration, e.g. in the traditional process industries, pollution prevention technologies, air separation technologies, and emerging fuel cell applications.BROADER IMPACTThe project will provide a setting for the effective training of graduate students in fundamental research with a timely and important application component. The students will also interact with industrial partners through summer internships. The research results will be broadly disseminated through publications and presentations, and through their integration to the teaching of process dynamics and control, whereas the software and web site that will be developed will further enhance the infrastructure for research and education.

CBET-0756363，DaoutidisEfficient能源利用是加工工业以及现有和新兴能源生产技术的关键需求。能源效率的例子是能源整合，通过将能源从产生的地方输送到需要的地方或可以安全消耗的地方来实现。能量集成过程网络的设计和优化一直是过程系统工程中的一个活跃领域，在工业实践中具有显著的影响。然而，能量集成过程网络的先进控制受到了相当有限的关注，特别是在不同操作状态之间的转换的背景下。然而，这是一个关键的任务，智能，灵活的操作，这样的网络，也是一个具有挑战性的？本研究旨在为具有紧密能量集成的过程网络建立一个全面的动态建模、模型降阶和控制框架。重点是核心网络动力学引起的能量整合：其文件和严格的表征，推导出非线性降阶非刚性模型的这些动态;以及它们在分级控制框架内的有效使用。智力优势智力优势承诺开发通用建模，分析和控制平台和方法，适用于广泛的能量集成网络，例如热集成反应器、热集成和热耦合蒸馏塔、热交换器网络和反应器-燃料电池网络。这些将使实际可实现的（低阶）鲁棒非线性监督控制器的发展，并因此将促进这种网络的有效和灵活的操作，补充现有的设计和优化方法。这些贡献可能会对大多数现代工厂的运行产生潜在的影响，这些工厂具有紧密的能源整合，例如在传统的加工工业，污染防治技术，空气分离技术和新兴的燃料电池应用中。更广泛的影响该项目将为基础研究的研究生提供一个有效的培训环境，并提供及时和重要的应用组件。学生还将通过暑期实习与工业合作伙伴互动。研究结果将通过出版物和介绍以及通过将其纳入过程动力学和控制的教学中而广泛传播，而将开发的软件和网站将进一步加强研究和教育的基础设施。