FMRG: Eco: A Systems-Enabled Paradigm Shift for Modular Sustainable Chemical Manufacturing

FMRG：Eco：系统支持的模块化可持续化学制造范式转变

• 批准号: 2134471
• 负责人: Marianthi Ierapetritou
• 金额: $ 300万
• 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: 2022
• 资助国家: 美国
• 起止时间: 2022-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2134471&HistoricalAwards=false
• 关键词: FMRG; Eco; Systems; Enabled; Paradigm

Future manufacturing needs to be sustainable. This Future Manufacturing Research Grant (FMRG) EcoManufacturing project aims to impact the way chemical manufacturing of emerging technologies is developed and practiced. The vision of the project is to move a predominant raw material base for chemical manufacturing from non-renewable to renewable substrates. The goal of the project is to develop a blueprint for sustainable chemical manufacturing in emerging technologies by integrating computer science with mechanistic modeling and experimental data within a unified systems approach that considers market trends, accounts for process and product economics, and incorporates environmental, market, and policy impacts. The goal of this project will be pursued through three research thrusts. Thrust 1 centers on the identification of pathways from renewable raw materials to a slate of existing and new products using a machine-learning natural processing language platform, integrated with artificial intelligence, multiscale modeling, and in-silico guided experiments. This platform targets to enable assessment of manufacturability combined with product discovery. Thrust 2 will develop an integrated product and process synthesis optimization framework to incorporate economic, environmental, and market impact of various process/product alternatives, and optimize the product portfolio, process design, and operations. Thrust 3 will identify consumer needs and market behavior in introducing “green” products and integrate these features into supply chain optimization. Central to the project approach is developing a modular-based systems optimization framework to analyze a host of products and process alternatives, integrating economics and environmental considerations, optimizing the location and capacity of processing sites, and incorporating the effects of parametric and environmental uncertainty. Education is integral to the project and involves the training of (a) undergraduate and graduate students in convergence research and sustainable manufacturing, (b) undergraduates in interdisciplinary product development through Internet-of-Things design projects, and (c) chemical operators on future manufacturing across the US, in collaboration with RAPID/AIChE as a manufacturing partner. This project is jointly funded by the CBET Environmental Sustainability program, the Established Program to Stimulate Competitive Research (EPSCoR), the SBE Directorate, and the CBET, CMMI, EEC, and CHE divisions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

未来的制造需要可持续。这项未来的制造研究补助金（FMRG）生态制造项目旨在影响新兴技术的化学制造方式。该项目的愿景是将化学​​制造的主要原材料基础从不可再生的底物移动。该项目的目的是通过将计算机科学与机械建模和实验数据集成到统一的系统方法中，以考虑市场趋势，占过程和产品经济学的责任，并结合环境，市场和政策影响，从而为新兴技术中的可持续化学制造制定蓝图。该项目的目标将通过三个研究推力来实现。推力1的重点是使用机器学习的自然处理语言平台，从可再生原材料到现有和新产品的途径，并与人工智能，多尺度建模和内部指导性实验集成。该平台的目标是使制造评估与产品发现相结合。推力2将开发一个集成的产品和过程合成优化框架，以结合各种流程/产品替代方案的经济，环境和市场影响，并优化产品组合，过程设计和运营。推力3将在引入“绿色”产品并将这些功能集成到供应链优化中，以确定消费者的需求和市场行为。项目方法的核心是开发基于模块化的系统优化框架，以分析许多产品和处理替代方案，整合经济学和环境考虑，优化处理站点的位置和能力，并增加参数和环境不确定性的影响。教育是该项目不可或缺的，涉及（a）培训（a）融合研究和可持续制造业的本科生和研究生，（b）在跨学科产品开发的本科生中，通过贸易互联网设计项目进行培训，以及（c）与Rapid/Aiche作为制造业合作伙伴合作的美国未来制造业的化学运营商。该项目由CBET环境可持续性计划，既定的竞争研究计划（EPSCOR），SBE局以及CBET，CMMI，EEC和CHE Divisions共同资助。该奖项反映了NSF的法定任务，并通过基金会的知识优点和广泛的criperia来诚实地通过评估来进行评估，以诚实地进行评估。

项目成果

Effect of Scale-Up on Mass Transfer and Flow Patterns in Liquid–Liquid Flows Using Experiments and Computations

• DOI: 10.1021/acs.iecr.3c02284
• 发表时间: 2023-09
• 期刊: Industrial & Engineering Chemistry Research
• 作者: Arnav Mittal;S. Bhattacharyya;Matthew Marino;Tai-Ying Chen;Pierre Desir;M. Ierapetritou;D. Vlachos-

Mathematical Programming Approach to Optimize Tactical and Operational Supply Chain Decisions under Disruptions

• DOI: 10.1021/acs.iecr.2c01641
• 发表时间: 2022-11-03
• 期刊: INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
• 影响因子: 4.2
• 作者: Badejo, Oluwadare;Ierapetritou, Marianthi
• 通讯作者: Ierapetritou, Marianthi

A recycling technology selection framework for evaluating the effectiveness of plastic recycling technologies for circular economy advancement

• DOI: 10.1016/j.cec.2023.100066
• 发表时间: 2023-11
• 期刊: Circular Economy
• 作者: Idowu Kunlere;Kalim U. Shah

Design of Sustainable Supply Chains for Managing Plastic Waste: A Case Study for Low-Density Polyethylene

管理塑料废物的可持续供应链设计：低密度聚乙烯案例研究

• 发表时间: 2023
• 期刊: Social Science Research Network
• 作者: Badejo, O. A.;Hernandez, B.;Vlachos, D.V.;Ierapetritou, M.G.
• 通讯作者: Ierapetritou, M.G.