Microchemical technology for future energy needs

满足未来能源需求的微化学技术

• 批准号: 0729714
• 负责人: Dionisios Vlachos
• 金额: $ 25.57万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0729714&HistoricalAwards=false
• 关键词: Microchemical; technology; future; energy; needs

PI: Dion Vlachos Institution: University of DelawareProposal Number: 0651043Title: HIERARCHICAL MULTISCALE MODEL-BASED PROCESS ENGINEERINGReactor design and catalyst discovery are examples of process and product engineering, respectively, which have traditionally been practiced in a non-symbiotic manner. Multiscale modeling links seamlessly and dynamically models and phenomena across length and time scales, spanning from the quantum to the macroscopic scales. The full coupling of models across scales can enable one to carry out symbiotically both process and product engineering. However, direct multiscale modeling of catalytic reactors is currently plagued by its computational intensity, the uncertainty in model parameters and reaction pathways, and the inherently complex nature of catalytic processes. Intellectual Merit. The PI has been working on a hierarchical, multiscale modeling framework that improves important models and parameters at necessary scales only (on-demand) to surmount major challenges (computational intensity and inherent complexity) of direct multiscale modeling. Here, he proposes its extension to enable model-based design of experiments with the objective of maximizing the information content and the fidelity of reaction and reactor models in the entire experimental parameter space. Globally validated models can in turn enable multiscale model-based optimal reactor and catalyst design. In this project he will combine multiscale simulation with model-designed experiments in microreactors. The specific systems to be investigated are the water-gas shift (WGS) reaction for H2 production from syngas and the preferential oxidation (PROX) of CO in H2-rich mixtures for H2 purification in 'tunable' microreactors. These reactions are of substantial commercial interest and a key to the actively researched hydrogen-based fuel cells. Aside from reactor design and optimization, the proposed framework will lay down the foundations for fundamental multiscale model-based catalyst design. Broader Impact. The work will demonstrate the application of multiscale simulation framework to process (reaction engineering) optimization. Furthermore, it will provide a first step toward the ultimate goal of developing strategies for rational catalyst design. The PI has a long tradition in educational activities including involvement of graduate, undergraduate, and underrepresented students, along with the development of new courses. Dissemination of multiscale simulation to a diverse group of scientific communities (mathematicians, materials scientists, and engineers) by the PI's group is an on-going process. As an example, the PI co-organized the first Topical Conference on Multiscale Simulation within the AIChE meeting in 2005, where multiple communities were brought together, as well as a tutorial in the Topical Conference and a short course on multiscale modeling and simulation (available via the web). He plans to continue these educational and dissemination routes and offer a new short course on multiscale modeling of microchemical systems including concepts on process and product engineering.

PI: Dion Vlachos机构：特拉华大学提案号：0651043标题：分层多尺度基于模型的工艺工程反应器设计和催化剂发现分别是工艺和产品工程的例子，它们传统上以非共生的方式进行实践。多尺度建模无缝地和动态地链接模型和现象跨越长度和时间尺度，跨越量子到宏观尺度。跨尺度模型的完全耦合可以使一个人进行共生的过程和产品工程。然而，催化反应器的直接多尺度建模目前受到其计算强度、模型参数和反应途径的不确定性以及催化过程固有的复杂性等问题的困扰。知识价值。PI一直致力于一个分层的多尺度建模框架，该框架仅在必要的尺度上（按需）改进重要的模型和参数，以克服直接多尺度建模的主要挑战（计算强度和固有复杂性）。在这里，他提出了对其进行扩展，以实现基于模型的实验设计，目的是在整个实验参数空间中最大限度地提高反应和反应器模型的信息量和保真度。全球验证的模型反过来可以实现基于多尺度模型的优化反应器和催化剂设计。在这个项目中，他将在微反应器中结合多尺度模拟和模型设计实验。要研究的具体系统是合成气中产生H2的水气变换（WGS）反应，以及在“可调”微反应器中富H2混合物中CO的优先氧化（PROX）用于H2净化。这些反应具有重要的商业价值，是氢基燃料电池研究的关键。除了反应器设计和优化之外，提出的框架将为基本的基于多尺度模型的催化剂设计奠定基础。更广泛的影响。该工作将展示多尺度模拟框架在过程（反应工程）优化中的应用。此外，它将为开发合理的催化剂设计策略的最终目标提供第一步。PI在教育活动方面有着悠久的传统，包括研究生、本科生和未被充分代表的学生的参与，以及新课程的开发。PI的团队将多尺度模拟传播给不同的科学团体（数学家、材料科学家和工程师）是一个持续的过程。例如，PI在2005年的AIChE会议中共同组织了第一次多尺度模拟专题会议，多个社区聚集在一起，以及专题会议的教程和多尺度建模和模拟的短期课程（可通过网络获得）。他计划继续这些教育和传播路线，并开设一个新的短期课程，介绍微化学系统的多尺度建模，包括过程和产品工程的概念。