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EAGER: SSDIM: Synthetic and Simulated Data for American Multi-Modal Energy Systems

EAGER：SSDIM：美国多模式能源系统的综合和模拟数据

基本信息

批准号：
1745385
负责人：
Amro Farid
金额：
$ 20万
依托单位：
Dartmouth College
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2023-01-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745385&HistoricalAwards=false
关键词：
EAGER SSDIM Synthetic Simulated Data

项目摘要

This EArly-concept Grant for Exploratory Research (EAGER) project seeks to develop and make available simulated and synthetic data on four distinct but highly interdependent critical infrastructures (ICIs) in the United States: the electric power grid, the natural gas supply chain, the oil supply chain, and the coal supply chain. When viewed together as a single system, these four infrastructures define the American Multi-Modal Energy System (AMES). All data and software from this project will be made freely and publicly available in order to facilitate academic, industry, and government research on the AMES, as well as reuse and refinement of software code. Methods developed through this research will be integrated into the Dartmouth engineering systems curriculum at the undergraduate and graduate levels and communicated more broadly online through the Irving Institute for Energy & Society and the edX platform. The development of simulated and synthetic data on mechanistic and human aspects of AMES will fundamentally improve understanding of the structure and behavior of these systems. This objective will be achieved by addressing how can raw data be algorithmically converted into a simulated dataset of the AMES, and by enriching the simulated dataset through advanced mathematical modeling of AMES system behavior. This work will lead to a structural hetero-functional graph model of the AMES, as well as to a dynamic, spatially-distributed simulation that corresponds to the best available data on the AMES.

这个探索性研究（EAGER）项目旨在开发和提供美国四个不同但高度相互依存的关键基础设施（ICIs）的模拟和合成数据：电网、天然气供应链、石油供应链和煤炭供应链。当将这四个基础设施视为一个单一系统时，它们定义了美国多模式能源系统（AMES）。该项目的所有数据和软件都将免费公开，以促进学术界、工业界和政府对AMES的研究，以及软件代码的重用和改进。通过这项研究开发的方法将被整合到达特茅斯大学本科和研究生阶段的工程系统课程中，并通过欧文能源与社会研究所和edX平台在网上进行更广泛的交流。对AMES的机械和人类方面的模拟和合成数据的开发将从根本上提高对这些系统的结构和行为的理解。这一目标将通过解决如何通过算法将原始数据转换为AMES的模拟数据集，并通过对AMES系统行为的高级数学建模来丰富模拟数据集来实现。这项工作将导致AMES的结构异功能图模型，以及对应于AMES上最佳可用数据的动态、空间分布模拟。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

American Multi-modal Energy System: Instantiated Structural Models of California and New York

美国多模式能源系统：加州和纽约的实例化结构模型

DOI：
10.1109/osmses54027.2022.9769107
发表时间：
2022
期刊：
1st International IEEE Workshop on Open Source Modelling and Simulation of Energy Systems
影响因子：
0
作者：
Thompson, Dakota J.;Farid, Amro M.
通讯作者：
Farid, Amro M.

A Hetero-functional Graph Analysis of Electric Power System Structural Resilience

电力系统结构弹性的异函数图分析

DOI：
10.1109/isgt45199.2020.9087732
发表时间：
2020
期刊：
2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT
影响因子：
0
作者：
Thompson, Dakota J.;Schoonenberg, Wester C.H.;Farid, Amro M.
通讯作者：
Farid, Amro M.

Hetero-functional Graph Resilience of the Future American Electric Grid