CyberSEES Type 1: Hierarchical Energy Management for Sustainable Residential and Mobility Ecosystems

Cyber​​SEES 类型 1：可持续住宅和移动生态系统的分层能源管理

• 批准号: 1331752
• 负责人: Giorgio Rizzoni
• 金额: $ 29.93万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1331752&HistoricalAwards=false
• 关键词: CyberSEES; Type; Hierarchical; Energy; Management

The objective of the proposed research is to study the integrated management of residential and personal transportation energy consumption to improve overall performance, efficiency, and reliability. The first goal of the proposal is to develop a highly resolved residential energy eco-system computational model that captures all energy consumption of an individual household, including energy for personal transportation. This can be either in the form of fossil fuels (gasoline, diesel, or natural gas) or electricity, in the case of plug-in electric vehicles. The second goal is to develop a hierarchical dynamic energy management framework for multiple interconnected energy eco-systems considering multiple energy carriers and the incorporation of stochastic human energy use behavior. The hierarchical energy management system optimally manages vehicle-building interactions for a group of residential buildings and associated vehicles. The management approach is non-disruptive, in the sense that consumers are not required to change their behavior. Deliverables include: a highly-resolved residential and transportation energy use computational model, validated using data from local utilities and from electric vehicle databases; a hierarchical energy management policy; the demonstration of the energy management policy in simulation; and an outreach component through the Ohio Energy Project.The outcome of this work, if successful, will have a broad impact on energy efficiency, demand response, and on integration of multiple energy carriers and coordination among them -- all necessary conditions for the development of a sustainable energy system. Moreover, introduction of energy diversity in the residential-transportation sectors may significantly contribute to national energy independence. The results of this project have value beyond the immediate application considered here, since many of the advances required to realize the proposed model and optimization framework are directly transferable to other domains. In particular, the proposed modeling approach that quantifies stochastic consumer energy use behaviors provides a novel perspective to study complex interactions between human and technological systems, while the proposed hierarchical energy management framework that achieves the optimal tradeoff between population and individual objectives represents an effective strategy to control and manage sustainable infrastructure systems involving multiple participants. Dissemination of the results of the project to (utility and automotive) industry partners will enable greater societal impact.

该研究的目的是研究住宅和个人交通能源消耗的综合管理，以提高整体性能，效率和可靠性。 该提案的第一个目标是开发一个高分辨率的住宅能源生态系统计算模型，该模型可以捕获单个家庭的所有能源消耗，包括个人交通能源。这可以是化石燃料（汽油，柴油或天然气）或电力的形式，在插电式电动汽车的情况下。 第二个目标是为多个相互关联的能源生态系统开发一个分层动态能源管理框架，考虑多个能源载体和随机人类能源使用行为。 分层能量管理系统最佳地管理一组住宅建筑物和相关车辆的车辆-建筑物交互。管理方法是非破坏性的，在这个意义上，消费者不需要改变他们的行为。可供选择的产品包括：一个高分辨率的住宅和交通能源使用计算模型，使用来自当地公用事业和电动汽车数据库的数据进行验证;一个分层的能源管理政策;在模拟中演示能源管理政策;以及通过俄亥俄州能源项目的推广部分。这项工作的结果，如果成功，将对能源效率，需求响应，以及多种能源载体的整合和相互协调-所有这些都是发展可持续能源系统的必要条件。此外，在住宅-运输部门实行能源多样性可大大有助于国家能源独立。该项目的结果具有超出这里考虑的直接应用的价值，因为实现所提出的模型和优化框架所需的许多进展可以直接转移到其他领域。 特别是，所提出的建模方法，量化随机消费者的能源使用行为提供了一个新的视角来研究人类和技术系统之间的复杂的相互作用，而建议的分层能源管理框架，实现人口和个人目标之间的最佳权衡代表了一个有效的策略，以控制和管理可持续的基础设施系统，涉及多个参与者。 向（公用事业和汽车）行业合作伙伴传播项目成果将产生更大的社会影响。