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

本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度解决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，包括个人交通的能源。这既可以是化石燃料（汽油、柴油或天然气），也可以是插电式电动汽车的电力。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，考虑多种能源载体和随机人类能源使用行为的结合。分层能源管理系统优化管理一组住宅建筑和相关车辆的车辆与建筑的相互作用。这种管理方法是非破坏性的，也就是说消费者不需要改变他们的行为。交付成果包括：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；分级能源管理政策；能源管理策略的仿真论证以及俄亥俄能源项目的外展部分。这项工作的结果，如果成功，将对能源效率、需求响应、多种能源载体的整合和它们之间的协调产生广泛影响，这些都是发展可持续能源系统的必要条件。此外，在住宅运输部门引入能源多样性可能会大大促进国家能源独立。这个项目的结果的价值超出了这里所考虑的直接应用，因为实现所提出的模型和优化框架所需的许多进步可以直接转移到其他领域。特别是，所提出的量化随机消费者能源使用行为的建模方法为研究人类和技术系统之间的复杂相互作用提供了一个新的视角，而所提出的分层能源管理框架实现了群体和个人目标之间的最佳权衡，代表了控制和管理涉及多个参与者的可持续基础设施系统的有效策略。将项目成果传播给（公用事业和汽车）行业合作伙伴将产生更大的社会影响。

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.