Dynamics and Control of Process Networks with Energy Integration

高效的能源利用是过程工业以及现有和新兴能源生产技术的关键需求。能源效率体现在能源整合上，通过将能源从产生的地方输送到需要或可以安全消散的地方来实现。能源集成过程网络的设计和优化一直是过程系统工程中一个丰富的活动领域，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的关注相当有限，特别是在不同运行状态之间转换的背景下。然而，这是智能、灵活运行此类网络的关键任务，也是一项具有挑战性的任务。能量反馈回路在这种网络中产生一个核心，通常是非线性的动态。本研究旨在为具有紧密能量整合的过程网络建立一个全面的动态建模、模型约简和控制框架。重点讨论了能量整合引起的核心网络动力学：它的文件化和严格的表征；这些动力学的非线性降阶非刚性模型的推导；以及它们在层次控制框架内的有效使用。智能优势：智能优势承诺开发通用的建模、分析和控制平台和方法，适用于广泛的能量集成网络，如热集成反应器、热集成和热耦合精馏塔、热交换器网络和反应堆-燃料电池网络。这将使实际可实现的（低阶）鲁棒非线性监督控制器的发展成为可能，并将因此促进这种网络的有效和灵活的运行，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影响，这些工厂具有紧密的能源整合，例如在传统的过程工业、污染预防技术、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研究生提供一个有效的基础研究培训环境，并具有及时和重要的应用组成部分。学生们还将通过暑期实习与行业合作伙伴互动。研究结果将通过出版物和报告以及通过将其与过程动力学和控制的教学相结合而广泛传播，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。

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.