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Integrated Optimal Design and Control of Distributed Chemical Processes

Integrated Optimal Design and Control of Distributed Chemical Processes
分布式化工过程集成优化设计与控制
批准号:
0002626
负责人:
Panagiotis Christofides
金额:
$17.82万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-10-01 至 2003-09-30

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中文摘要
翻译
帕纳乔蒂斯·D·克里斯托菲德斯研究所:加州大学洛杉矶分校建议编号:0002626本研究项目的目标是开发一个通用的实用框架,用于分布式化学过程的集成优化设计和控制,能够提高效率,改善产品质量,并减少这些过程对环境的影响。研究的动机来自:(A)许多非线性的分布式化学过程,包括传输/反应(例如管式反应器、化学气相沉积(CVD)系统)和颗粒(例如结晶器、乳液聚合和气溶胶反应器)过程;(B)需要对这些过程进行优化设计和操作,以最大限度地减少能源消耗和成本,实现更严格的性能规格,并满足环境和安全法规;以及(C)缺乏设计和控制分布式化工过程的综合框架,特别是那些将使能源消耗最小化的化工过程。研究旨在提供对分布式化工过程模型降阶、优化和控制的本质的基本理解。将开展的项目包括:(A)开发计算效率高和准确的算法,以根据基本模型解决运输/反应和颗粒过程的稳态和动态优化问题;(B)在运输/反应过程和空间不均匀的颗粒过程中选择控制致动器和测量传感器的最佳位置;(C)利用所开发的方法优化设计和运行管式反应器、等离子体增强化学气相沉积过程和气溶胶过程。
英文摘要
ABSTRACTPI: Panagiotis D. Christofides Institution: University of California at Los AngelesProposal Number: 0002626The objective of this research project is to develop a general and practical framework for integrated optimal design and control of distributed chemical processes, able to increase the efficiency, improve the product quality, and reduce the environmental impact of these processes. The motivation for the research is provided by: (a) the many nonlinear distributed chemical processes, including transport/reaction (e.g., tubular reactors, chemical vapor deposition (CVD) systems) and particulate (e.g., crystallizers, emulsion polymerization and aerosol reactors) processes; (b) the need for optimal design and operation of these processes in order to minimize energy consumption and cost, achieve tighter performance specifications, and meet environmental and safety regulations; and (c) the lack of an integrated framework for design and control of distributed chemical processes, especially those that will minimize energy use.The research is to provide a fundamental understanding of the nature of the model reduction, optimization and control of distributed chemical processes. Projects to be done include: (a) the development of computationally efficient and accurate algorithms for solving steady-state and dynamic optimization problems for transport/reaction and particulate processes based on fundamental models; (b) the selection of optimal locations for control actuators and measurement sensors in transport/reaction processes and spatially-inhomogeneous particulate processes; and (c) the use of the developed methods to optimally design and operate tubular reactors, plasma-enhanced CVD processes and aerosol processes.
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Cybersecurity in process control: Machine-learning detection and encrypted control
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  • 项目类别:
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海外基金