EAGER: Fundamental Study on Hierarchical Control of Sustainable Development of Complex Industrial Systems under Uncertainty

EAGER：不确定性下复杂工业系统可持续发展分层控制基础研究

• 批准号: 1434277
• 负责人: Yinlun Huang
• 金额: $ 19.3万
• 依托单位: Wayne State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1434277&HistoricalAwards=false
• 关键词: EAGER; Fundamental; Study; Hierarchical; Control

1434277HuangIn this exploratory project, the PI proposes to develop a novel methodology for strategic-tactical control of industrial sustainability by building on sustainability fundamentals, system control science, uncertainty theory, and engineering science. The study aims at providing scientific answers to three questions: (i) why and what kind of industrial problems should be tackled as a sustainability control theory problem, (ii) what kind of sustainability control system should be synthesized and how to do so, and (iii) how to derive decisions for sustainable development (SD) of industrial systems under uncertainty? The study includes: (i) a predictive input-output modeling method, (ii) an interval-parameter-based system and technology assessment method,(iii) a multistage, hierarchical decision-making method, and (iv) a method for designing a hierarchical sustainability control system. These methods will be tested through studying a complex manufacturing sustainability problem. The proposed research is radically different from traditional studies on engineering sustainability. If successful, this exploratory research could be transformative as this study will introduce the new concept of "sustainability control," and may result in the creation of a new paradigm for sustainability study and introduce a new branch in engineering, which could be called "sustainability control science." This may be the first attempt to formulate complex sustainability problems as a hierarchical control problem, which may improve significantly our understanding of SD concept and practice. This study may be also the earliest to introduce an integrated SD methodology encompassing system modeling, assessment, and decision making for strategic-tactical control under uncertainty. The research is aimed at contributing greatly to the field through improving scientific understanding of industrial sustainability and providing a holistic methodology for tackling complex sustainability problems. The project will generate educational materials (i.e., lecture materials and open-ended team projects) for enhancing an chemical engineering senior design course and an introductory course on sustainable engineering open to all engineering students. The methodology will be disseminated through publication and the AIChE Sustainable Engineering Forum. Short courses will be arranged with chemical industries.

1434277 Huang在这个探索性项目中，PI建议通过建立可持续性基础，系统控制科学，不确定性理论和工程科学，开发一种新的工业可持续性战略战术控制方法。该研究的目的是提供三个问题的科学答案：（一）为什么和什么样的工业问题应作为一个可持续控制理论的问题，（二）什么样的可持续控制系统应综合和如何做到这一点，以及（三）如何得出的不确定性下的工业系统的可持续发展（SD）的决策？该研究包括：（i）预测性输入-输出建模方法，（ii）基于区间参数的系统和技术评估方法，（iii）多阶段、分级决策方法，以及（iv）用于设计分级可持续性控制系统的方法。这些方法将通过研究一个复杂的制造业可持续性问题进行测试。拟议的研究是从根本上不同于传统的工程可持续性研究。如果成功的话，这项探索性的研究可能是变革性的，因为这项研究将引入“可持续性控制”的新概念，并可能导致创建一个新的可持续性研究范式，并在工程中引入一个新的分支，这可以被称为“可持续性控制科学”。“这可能是第一次尝试将复杂的可持续发展问题表述为一个分层控制问题，这可能会大大提高我们对可持续发展概念和实践的理解。这项研究也可能是最早引入一个集成的SD方法，包括系统建模，评估和决策的战略战术控制下的不确定性。该研究旨在通过提高对工业可持续性的科学认识，为解决复杂的可持续性问题提供全面的方法，从而为该领域做出巨大贡献。该项目将产生教育材料（即，讲座材料和开放式团队项目），以加强化学工程高级设计课程和对所有工程专业学生开放的可持续工程入门课程。该方法将通过出版物和AIChE可持续工程论坛传播。短期课程将安排与化学工业。