EAGER: SSDIM: Generating Synthetic Data on Interdependent Food, Energy, and Transportation Networks via Stochastic, Bi-level Optimization

EAGER：SSDIM：通过随机双层优化生成相互依赖的食品、能源和运输网络的综合数据

• 批准号: 2114098
• 负责人: Karen Knee
• 金额: $ 19.99万
• 依托单位: American University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2022-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2114098&HistoricalAwards=false
• 关键词: EAGER; SSDIM; Generating; Synthetic; Data

This EArly-concept Grant for Exploratory Research (EAGER) project will generate data at the interdependencies of the energy, food, and transportation infrastructures, providing essential information for contributing to improved approaches to addressing design and operational issues for interdependent critical infrastructures (ICIs). The project introduces a new mathematical framework and applies it to data generation, allowing explicit representation of infrastructure interdependencies. It allows integration of current data generation techniques into a unified representation of societal, mechanistic, and physical aspects of ICIs. All data generated from this research will be made freely available through online repositories. Along with academic publications and presentations, the project will create communication materials such as digital maps for dissemination to practitioners, particularly within rural communities. The findings and outcomes from this research may serve to raise public awareness about infrastructure threats and resilience. This project will also develop a food/energy module for elementary schoolchildren, as well as support for graduate student researchers.This project will develop a new mathematical framework (Stochastic Bilevel Optimization) to generate synthetic data on ICIs. The project will also provide uncertainty measures associated with these data, allowing a measure of quality as well as quantifying relationships with input information. This method will generate data for interdependent agriculture, food, energy, and transportation ICIs, allowing for integration of existing data generation techniques. The mathematical structure of the stochastic bilevel optimization problem allows for representation of, and integration across, the physical, mechanistic, and community functions of ICIs. The aim is to generate data to optimize strategies for disaster preparedness, resilience, and response. This research will contribute to the emerging area of food system resilience and will enable future efforts to model potential threats to food systems such as energy supply disruptions and fuel price spikes.

这项对探索性研究（急切）项目的早期概念赠款将在能源，食品和运输基础设施的相互依存关系中生成数据，从而为解决相互依存的关键基础设施（ICIS）（ICIS）的设计和操作问题提供了改进的方法提供了必不可少的信息。该项目引入了一个新的数学框架，并将其应用于数据生成，从而明确表示基础架构相互依存关系。它允许将当前的数据生成技术集成到ICIS社会，机械和物理方面的统一表示。这项研究产生的所有数据将通过在线存储库免费提供。除学术出版物和演讲外，该项目还将创建通信材料，例如数字地图，以向从业人员（尤其是农村社区）传播。这项研究的发现和结果可能有助于提高公众对基础设施威胁和韧性的认识。该项目还将为小学生开发一个食品/能量模块，并为研究生研究人员提供支持。该项目将开发一个新的数学框架（随机的双光线优化），以生成有关ICIS的合成数据。该项目还将提供与这些数据相关的不确定性度量，从而可以衡量质量以及与输入信息的关系。该方法将生成有关相互依存的农业，食品，能源和运输ICI的数据，从而允许整合现有数据生成技术。随机双层优化问题的数学结构允许ICIS的物理，机械和社区功能跨越和集成。目的是生成数据以优化灾难准备，韧性和反应的策略。 这项研究将有助于食品系统弹性的新兴领域，并能够为未来的努力模拟对粮食系统的潜在威胁，例如能源供应中断和燃料价格峰值。

项目成果

North American energy system responses to natural gas price shocks

• DOI: 10.1016/j.enpol.2020.112046
• 发表时间: 2021-02-03
• 期刊: ENERGY POLICY
• 影响因子: 9
• 作者: Brown, Maxwell;Siddiqui, Sauleh;Molar-Cruz, Anahi
• 通讯作者: Molar-Cruz, Anahi

Natural gas infrastructure development in North America under integrated markets

• DOI: 10.1016/j.enpol.2020.111757
• 发表时间: 2020-12-01
• 期刊: ENERGY POLICY
• 影响因子: 9
• 作者: Avraam, Charalampos;Chu, Daniel;Siddiqui, Sauleh
• 通讯作者: Siddiqui, Sauleh

Optimization Based Modeling for the Food Supply Chain's Resilience to Outbreaks

• DOI: 10.3389/fsufs.2022.887819
• 发表时间: 2022-07
• 作者: E. Moynihan;Charalampos Avraam;Sauleh Siddiqui;R. Neff

Optimization-Based Systems Modeling for the Food-Energy-Water Nexus

• DOI: 10.1007/s40518-020-00161-5
• 发表时间: 2021-01
• 期刊: Current Sustainable/Renewable Energy Reports
• 作者: Charalampos Avraam;Ying Zhang;S. Sankaranarayanan;B. Zaitchik;E. Moynihan;Prathibha Juturu;R. Neff;Sauleh Siddiqui

Mexico and U.S. power systems under variations in natural gas prices

• DOI: 10.1016/j.enpol.2021.112378
• 发表时间: 2021-09
• 期刊: Energy Policy
• 影响因子: 9
• 作者: Luis Sarmiento;Anahi Molar-Cruz;Charalampos Avraam;Maxwell Brown;Juan Rosellón;Sauleh Siddiqui;Baltazar Solano Rodriguez