Globally Optimal Process Network Synthesis

全局最优过程网络综合

• 批准号: 0829211
• 负责人: Vasilios Manousiouthakis
• 金额: $ 25.91万
• 依托单位: University of California-Los Angeles
• 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: 2008-10-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0829211&HistoricalAwards=false
• 关键词: Globally; Optimal; Process; Network; Synthesis

CBET-0829211ManousiouthakisIntellectual Merit The goal of this project is to advance the state of the art in globally optimal synthesis of process networks using the Infinite DimEnsionAl State-space (IDEAS) method developed by the PI. He plans the following research: 1. Conceptual and Computational Advancement of IDEAS 2. Batch Reactor Network Synthesis - Identification of the Attainable Region 3. Globally Optimal Fuel Cell Network Synthesis 4. Automatic Generation of Globally Optimal Cryogenic Liquefaction Networks In carrying out this research, he will: A. Seek new solution methods for the IDEAS Infinite Linear Program (ILP) that yield lower bounds that are guaranteed to converge to the global minimum. B. Seek a novel IDEAS formulation for batch process networks. This is the first time that application of IDEAS will be pursued for a network of dynamic processes such as batch reactors. Issues related to network causality will also be addressed. C. Either develop a new or use existing fuel cell models to establish whether these models satisfy the properties for incorporation into the IDEAS framework, including any assumptions that must be made on the model properties to make this the case. The application of IDEAS to cryogenic liquefaction networks will yield novel cryogenic cycles. Synthesis of such cycles will be pursued using software packages which include a user-friendly GUI. This software package will be incorporated into classroom work for students, along with documentation explaining the power of the method and its limitations. Broader Impact The IDEAS methodology has been shown to advance the state of the art in process network synthesis and to provide a designer with a synthesis methodology that does not restrict a priori the network structure. The method applies just as well to chemical engineering process design as it does to electrical engineering (fuel cells, hybrid electrical systems, etc.), operations research (mathematical developments in infinite dimensional linear programming, parallelized solution of large scale linear programs, etc.), and cryogenic engineering. The research activity will provide training for K-12, undergraduate, and graduate students by exposing them to high level mathematics and cluster computing technology. This work will also contribute to diversity by facilitating more research projects for K-12 students like those provided by the UCLA Center for Excellence in Engineering and Diversity (CEED). This past summer (2007) the PI had a minority high school student do a summer research project using the IDEAS method through the Science Mathematics Achievement and Research Technology for Students (SMARTS) program run by UCLA CEED. The PI plans on involving more students of all levels in order to foster their interest in engineering and higher education. The conceptual advancement of IDEAS could impact several research areas (mathematical programming, cryogenics, reaction engineering, fuel cell systems engineering) and several industries (power production, hydrogen production, refrigeration, and others).

CBET-0829211 ManousiouthakisIntellectual Merit该项目的目标是使用PI开发的无限维状态空间（IDEAS）方法来推进过程网络全局优化合成的最新技术水平。他计划进行以下研究：1。IDEAS 2的概念和计算进展。间歇式反应器网络综合-全球最佳燃料电池网络合成4.全局最优低温液化网络的自动生成在进行这项研究时，他将：A。为IDEAS无限线性规划（ILP）寻找新的求解方法，以保证收敛到全局最小值。B。寻求一个新的IDEAS公式的批处理网络。这是首次将IDEAS应用于动态过程网络，如间歇式反应器。与网络因果关系有关的问题也将得到解决。 C.开发新的或使用现有的燃料电池模型，以确定这些模型是否满足纳入IDEAS框架的属性，包括必须对模型属性做出的任何假设。IDEAS在低温液化网络中的应用将产生新的低温循环。将使用包括用户友好图形用户界面的软件包来综合这些周期。这个软件包将被纳入课堂工作的学生，沿着文件解释的权力的方法和它的局限性。广泛的影响IDEAS方法已被证明是先进的工艺网络合成的状态，并提供一个设计师与合成方法，不限制先验的网络结构。该方法同样适用于化学工程工艺设计，也适用于电气工程（燃料电池、混合电力系统等），运筹学（无穷维线性规划的数学发展，大规模线性规划的并行求解等），和低温工程该研究活动将为K-12，本科生和研究生提供培训，让他们接触高级数学和集群计算技术。 这项工作也将有助于多样性，促进更多的研究项目，为K-12学生一样，由加州大学洛杉矶分校卓越中心提供的工程和多样性（CEED）。去年夏天（2007年），PI让一名少数民族高中生通过UCLA CEED运行的学生科学数学成就和研究技术（SMARTS）项目，使用IDEAS方法进行了一项夏季研究项目。PI计划让更多各级学生参与，以培养他们对工程和高等教育的兴趣。IDEAS的概念进步可能会影响几个研究领域（数学编程，低温学，反应工程，燃料电池系统工程）和几个行业（发电，制氢，制冷等）。