Collaborative Proposal: Large-Scale Optimization Strategies for Design under Uncertainty

Lorenz Biegler研究所：卡内基梅隆大学提案编号：0438279标题：协作提案：不确定性下的设计大规模优化策略研究：未知信息下的优化设计是过程系统工程中的一项关键任务。本项目考虑了包含两种未知信息的配方，即建模信息中的不确定性和过程操作中的可变性。不确定性要求对过程进行过度设计，以便它可以在整个不确定范围内运行。另一方面，可以通过有效的控制策略来缓解变异性。然而，这两个问题在大多数工程系统中都存在，必须在设计阶段面对。为了解决这一问题，PI计划扩展了不确定性设计的两阶段公式，并为该公式推导出新的优化策略。这项提议的一个关键组成部分是应用研究人员最近开发的新的优化算法。广泛的影响：这种方法将被应用于化学加工中的一些重要研究问题，包括用于制造半导体的燃料电池、碳纳米管和CVD反应器的建模和优化。此外，两项重要的外展活动还包括：-分发已开发的软件，以评估与工业相关的过程中不确定性和变异性的影响--为高中生、本科生和高中教师制定了一项教育计划，以认识不确定性和过程变异性对过程性能、经济、安全和环境影响的影响。

ABSTRACTPI: Lorenz Biegler Institution: Carnegie Mellon UniversityProposal Number: 0438279Title: Collaborative Proposal: Large-Scale Optimization Strategies for DesignUnder UncertaintyResearch: Optimal design under unknown information is a key task in process systems engineering. This project considers formulations that incorporate two types of unknown information, uncertainty in the modeling information and variability in the operation of the process. Uncertainty requires an overdesign of the process so that it can operate over the entire uncertainty range. On the other hand, variability can be mitigated through effective control strategies. Nevertheless, both issues are present in most engineering systems and must be confronted at the design stage. To address this problem the PIs plan extend a two-stage formulation for design under uncertainty and derive new optimization strategies for this formulation. A key component of this proposal is the application of novel optimization algorithms, recently developed by the investigators.Broader Impacts: This approach will be applied to a number of important research problems in chemical processing, including modeling and optimization for fuel cells, carbon nanotubes and CVD reactors for the manufacture of semiconductors. In addition two important outreach activities include:- Distribution of developed software to assess the influence of uncertainty and variability in industrially-relevant processes- An educational program for high school students, undergraduates and high school teachers to recognize the impact of uncertainty and process variability on process performance, economics, safety and environmental impact.