Modeling and Optimization of Sustainable and ResilienT FEW (MOST FEW) Networks

可持续和弹性的少数（最多）网络的建模和优化

• 批准号: 1803527
• 负责人: Vikas Khanna
• 金额: $ 30.58万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1803527&HistoricalAwards=false
• 关键词: Modeling; Optimization; Sustainable; ResilienT; FEW

Food, energy and water (FEW) systems are inextricably linked with high degrees of interdependence and interconnectedness. The overall goal of this project is to develop a systems-level modeling and optimization framework to understand the sustainability, resilience, and structure of the FEW nexus with a focus on the U.S. national food system. The project is targeted to provide an understanding of the resilience of the U.S. domestic food flow network in conjunction with embodied water and energy flows, leading in turn to insight into the ecology, behavior, sustainability, and resilience of the FEW nexus.The project focuses on three main research objectives. The first objective examines the U.S. national food system with an emphasis on inter-state food trade. Specifically, the project will model the embodied water and energy associated with traded food by combining, integrating, and reconciling publically available data sets on domestic food production, trade, and life cycle environmental impacts. The second objective will focus on developing and applying existing and novel network theory based techniques and metrics to understand the overall topology, sustainable, and resilience of the U.S. FEW networks. The third objective will develop and apply optimization-based approaches for sustainable and resilient design of FEW systems. Specifically, it will permit the integration of information from network science and optimization techniques for identifying and evaluating interventions for enhancing the sustainability and resilience of the FEW nexus. By combining data on domestic food trade, embodied water and energy flows with network theory and optimization-based tools and techniques, the project seeks to discover novel sustainability and resilience insights, and opportunities for the highly integrated FEW systems. Interdependencies, interconnectedness, and vulnerable points of the FEW nexus will be identified, which will support planning for the sustainable management of these integrated systems. The research aims to result in two significant contributions towards understanding and supporting the sustainability and resilience of the FEW nexus. First, an understanding of the structure of the FEW nexus is to be developed, describing its interconnectedness, interdependencies, and vulnerable points. Second, rigorous optimization-based approaches for optimizing the structure of the domestic food trade network will be developed, with a view towards enhancing its sustainability and resilience. The research aims to play a pivotal role in satisfying the need for understanding sustainability and resilience of the FEW nexus via integration of network theory techniques with rigorous optimization-based approaches and life cycle oriented methods.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.

食物，能量和水（很少）系统与高度相互依存和相互联系的程度密不可分。该项目的总体目标是开发系统级建模和优化框架，以了解少数Nexus的可持续性，韧性和结构，重点是美国国家食品系统。该项目旨在与体现的水和能量流结合使用美国国内食品流网络的弹性，从而深入了解少数Nexus的生态，行为，可持续性和弹性。该项目侧重于三个主要的研究目标。第一个目标检查了美国国家食品系统，重点是州际粮食贸易。具体而言，该项目将通过结合，整合和调和有关国内粮食生产，贸易和生命周期环境影响的公开可用数据集，对与交易食品相关的体现水和能源进行建模。第二个目标将着重于开发和应用基于网络理论的现有技术和指标，以了解美国少数网络的总体拓扑，可持续性和弹性。第三个目标将开发并应用基于优化的方法，用于几个系统的可持续性和弹性设计。具体而言，它将允许从网络科学和优化技术中整合信息，以识别和评估干预措施，以增强少数Nexus的可持续性和弹性。通过将有关国内食品贸易的数据，体现水和能源流与网络理论和基于优化的工具和技术相结合，该项目旨在发现新颖的可持续性和弹性见解，以及高度集成的少数系统的机会。将确定少数Nexus的相互依存，相互联系和脆弱的观点，这将支持这些集成系统的可持续管理计划。该研究旨在为理解和支持少数Nexus的可持续性和韧性做出两项重要贡献。首先，要开发对少数Nexus的结构的理解，描述了其相互联系，相互依赖性和脆弱的点。其次，将开发基于严格优化的优化方法，以优化国内食品贸易网络的结构，以增强其可持续性和弹性。该研究旨在通过将网络理论技术与严格的基于优化的方法和面向生命周期的方法整合到了解少数Nexus的必要性方面发挥关键作用。该奖项反映了NSF的法定任务，并通过使用基金会的知识优点和广泛影响来评估NSF的法定任务，并被认为是值得的。

项目成果

On designing networks resilient to clique blockers

• DOI: 10.1016/j.ejor.2022.09.013
• 发表时间: 2022-09
• 期刊: Eur. J. Oper. Res.
• 作者: Haonan Zhong;F. M. Pajouh;O. Prokopyev

Rewiring the Domestic U.S. Rice Trade for Reducing Irrigation Impacts—Implications for the Food–Energy–Water Nexus

重新调整美国国内大米贸易以减少灌溉影响——对粮食——能源——水关系的影响

• DOI: 10.1021/acssuschemeng.1c00776
• 发表时间: 2021
• 期刊: ACS Sustainable Chemistry & Engineering
• 影响因子: 8.4
• 作者: Vora, Nemi;Gillen, Colin;Prokopyev, Oleg A.;Khanna, Vikas
• 通讯作者: Khanna, Vikas

Analysis of process flexibility designs under disruptions

• DOI: 10.1080/24725854.2020.1759162
• 发表时间: 2020-07
• 期刊: IISE Transactions
• 影响因子: 2.6
• 作者: Erfan Mehmanchi;H. Bidkhori;O. Prokopyev

On integer programming models for the maximum 2-club problem and its robust generalizations in sparse graphs

• DOI: 10.1016/j.ejor.2021.05.010
• 发表时间: 2021-05
• 期刊: Eur. J. Oper. Res.
• 作者: Alexander Veremyev;V. Boginski;E. Pasiliao;O. Prokopyev

Finding groups with maximum betweenness centrality via integer programming with random path sampling

• DOI: 10.1007/s10898-022-01269-2
• 发表时间: 2023-02
• 期刊: Journal of Global Optimization
• 影响因子: 1.8
• 作者: Tomas Lagos;O. Prokopyev;Alexander Veremyev