CAREER: A Computational Framework for Multiscale Optimization of Sustainability for Process Supply Chains

职业生涯：流程供应链可持续性多尺度优化的计算框架

• 批准号: 1643244
• 负责人: Fengqi You
• 金额: $ 51.2万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-06-30 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1643244&HistoricalAwards=false
• 关键词: CAREER; Computational; Framework; Multiscale; Optimization

Abstract - You, 1554558Public interest in carbon and water footprints, ecosystem degradation and resource depletion, are just some of the environmental issues that drive the process industries to exercise greater responsibility for the environment in the design and operations of their manufacturing systems. This increasing emphasis on sustainability has driven a shift in process systems design and optimization from the traditional, economics-oriented methods towards methods that balance environmental protection in addition to economic profitability. This project is aimed at incorporating sustainability principles systematically and effectively into the design and optimization of process systems. Previously, such efforts were limited to the process boundary, while now, the boundary has expanded to include the life cycle. This broader perspective reduces the chance of unintended externalities by shifting the problem outside a narrow process boundary. Research challenges arise from the large size and scope of the problem, the multiscale nature of models and data, the potential presence of multiple non-cooperative decision makers, and the high degrees of uncertainty across temporal scales. The objective of this project is to address the fundamental issues associated with multi-scale sustainability optimization of process systems design and operations decisions. This work will augment process systems engineering tools on supply chain optimization, sustainable engineering and the treatment of uncertainties. The research activities are to develop: (1) a systematic study and a novel multi-scale life cycle process systems optimization (LCPSO) framework that accounts for and optimizes the direct and indirect environmental impacts from the foreground process systems scale and from the background economy scale through the integration of process systems optimization with process-based and input-output-based models; (2) a novel and transformative LCPSO framework based on game theoretical modeling for non-cooperative supply chains with multiple individual decision-makers to account for the life cycle environmental sustainability and economic objectives of individual decision makers; and (3) a new approach for quantifying the role of uncertainties at multiple temporal scales for LCPSO.The research has the potential to improve the economic competitiveness and environmental sustainability of the process industries. The results will offer insights to identify sustainable strategies for (re-)designing process systems and improving operational practices. The proposed optimization algorithms could result in benefits beyond the chemical engineering community and find applications in other arenas where systematic decision-making is pursued. The results will be integrated into education and outreach activities in the following areas: (1) incorporation of research findings into "Chemical Engineering Design Projects" and "Process Optimization" courses; (2) enhancing undergraduate students' participation in research; (3) working with a local, predominantly minority high school for an interactive STEM Saturdays outreach program; and (4) development of a "Distinguished Junior Researcher Seminar Series" by inviting junior research scholars in related fields to deliver seminars at the PI's institution.

摘要 - 您，1554558对碳和水足迹，生态系统降解和资源枯竭的公共兴趣只是一些环境问题，这些问题驱使过程行业在其制造系统的设计和运营中对环境造成更大的责任。对可持续性的这种越来越重视促使过程系统设计和优化从传统的，以经济学为导向的方法转变为除了经济盈利能力外平衡环境保护的方法。该项目旨在将可持续性原则系统有效地纳入过程系统的设计和优化中。以前，这样的努力仅限于过程边界，而现在，边界已经扩展到包括生命周期。这种更广泛的观点通过将问题转移到狭窄的过程边界之外，从而减少了意想不到的外部性的机会。研究挑战是由问题的较大规模和范围，模型和数据的多尺度性质，多个非合作决策者的潜在存在以及跨时间尺度的高度不确定性。该项目的目的是解决与过程系统设计和运营决策的多规模可持续性优化相关的基本问题。这项工作将增加供应链优化，可持续工程和不确定性处理的过程系统工程工具。研究活动是要开发的：（1）一项系统的研究和新型的多尺度生命周期过程系统优化（LCPSO）框架，该框架是从前景过程系统量表以及从基于流程和基于输入的基于基于流程和输入的基于基于流程和输入的模型的整合到背景经济规模的直接和间接环境影响； （2）基于与多个个人决策者的非合作供应链的游戏理论建模的新颖而变革的LCPSO框架，以说明生命周期的环境可持续性和个人决策者的经济目标； （3）一种新的方法，用于量化LCPSO多个时间尺度上不确定性的作用。该研究有可能提高工艺行业的经济竞争力和环境可持续性。结果将提供见解，以确定（重新）设计过程系统并改善运营实践的可持续策略。提出的优化算法可能会带来化学工程社区以外的好处，并在采用系统决策的其他领域中找到应用。结果将纳入以下领域的教育和外展活动：（1）将研究结果纳入“化学工程设计项目”和“过程优化”课程； （2）增强本科生参与研究； （3）与当地的，主要是少数族裔高中合作进行互动STEM星期六外展计划； （4）通过邀请相关领域的初级研究学者在PI机构进行研讨会，开发“杰出的初级研究人员系列”。