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.

未来制造需要可持续发展。未来制造研究补助金 (FMRG) 生态制造项目旨在影响新兴技术的化学制造的开发和实践方式，该项目的愿景是将化学​​制造的主要原材料基础从非化学制造转移到非化学制造。 -该项目的目标是通过将计算机科学与机械建模和实验数据整合到考虑市场趋势、工艺和产品经济学的统一系统方法中，制定新兴技术的可持续化学制造蓝图，并纳入该项目的目标将通过三个研究重点来实现，重点是使用机器学习自然处理语言平台识别从可再生原材料到一系列现有和新产品的途径。与人工智能、多尺度建模和计算机引导实验相结合，Thrust 2 将开发一个集成的产品和工艺综合优化框架，以纳入经济、环境和市场影响。各种的Thrust 3 将确定消费者在引入“绿色”产品时的需求和市场行为，并将这些功能集成到供应链优化中，该项目方法的核心是开发模块化。基于系统优化框架来分析大量产品和工艺替代方案，整合经济和环境因素，优化加工场地的位置和容量，并纳入参数和环境不确定性的影响。教育是该项目的组成部分，涉及培训。 (a) 本科生和研究生融合研究和可持续制造，(b) 通过物联网设计项目进行跨学科产品开发的本科生，以及 (c) 与制造合作伙伴 RAPID/AIChE 合作的美国各地未来制造的化学操作员。由 CBET 环境可持续发展计划、刺激竞争研究既定计划 (EPSCoR)、SBE 理事会以及 CBET、CMMI、EEC 和 CHE 共同资助该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

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: 2023-07
• 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.

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

用于评估塑料回收技术对循环经济发展有效性的回收技术选择框架

• DOI: 10.1016/j.cec.2023.100066
• 发表时间: 2023-11-01
• 期刊: Circular Economy
• 作者: Idowu Kunlere;Kalim U. Shah
• 通讯作者: Kalim U. Shah

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

用于优化中断情况下的战术和运营供应链决策的数学规划方法

• DOI: 10.1021/acs.iecr.2c01641
• 发表时间: 2022-11
• 期刊: Industrial & Engineering Chemistry Research
• 影响因子: 4.2
• 作者: Badejo, Oluwadare;Ierapetritou, Marianthi
• 通讯作者: Ierapetritou, Marianthi

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

通过实验和计算放大放大对液体传质和流动模式的影响

• DOI: 10.1021/acs.iecr.3c02284
• 发表时间: 2023-09-06
• 期刊: Industrial & Engineering Chemistry Research
• 作者: Arnav Mittal;S. Bhattacharyya;Matthew Marino;Tai;Pierre Desir;M. Ierapetritou;D. Vlachos
• 通讯作者: D. Vlachos