SEP: Creating An Energy Literate Society Of Humans, Buildings, And Agents For Sustainable Energy Management

SEP：创建一个由人类、建筑物和代理组成的具有能源素养的社会，以实现可持续能源管理

• 批准号: 1231001
• 负责人: Burcin Becerik-Gerber
• 金额: $ 155万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1231001&HistoricalAwards=false
• 关键词: SEP; Creating; Energy; Literate; Society

The NSF Sustainable Energy pathways (SEP) Program, under the umbrella of the NSF Science, Engineering and Education for Sustainability (SEES) initiative, will support the research program of Profs. Burcin Becerik-Gerber of the Department of Civil and Environmental Engineering, Wendy Wood of the Department of Psychology, David Gerber of the Department of Architecture, and Milind Tambe of the Department of Computer Science at the University of Southern California (USC). The multi-disciplinary team of investigators will develop an energy-aware, cyber-physical multi agent framework of buildings, humans, and intelligent software agents for sustainable energy management, taking a collective, energy literacy approach to influencing building occupants, operators, designers, and engineers. The investigators will first assess behavior and preferences of building occupants, evaluate building design/system specifications, and identify building operational policies. They will then build a multi-agent model to integrate these different systems. Building on fundamental research in agents' autonomy and teamwork, the multi-agent framework will facilitate negotiations between occupants and building devices. The agents will provide feedback to the occupants and control building devices to conserve energy. Based on this integrated model, feedback about occupant energy use to building designers will be provided to shape early-stage design decisions that have the longest lasting impact on building's lifecycle footprint. The central focus is designing a multi-component model of energy consumption in office buildings in order to identify and test the optimal points of change in energy systems. Specifically, the research predicts that energy use could be optimized and occupant comfort could be maximized in an integrated way by changing occupant behavior, design/system specifications, and building operators' policies via an agent-based system. The research will be validated in an office building, where occupants lack the individual financial incentives for energy consumption. The system will be tested both in professional and student designer studios to validate the impact of the model in energy aware design decisions. The research differentiates itself by treating occupant preferences and behavior not only as input data but also as controllable variables in a broader energy system; it then harnesses a complex multiagent system to control these variables for energy savings. It also extends energy literacy into the arena of design and engineering by providing human behavior input in early design stages, as well as into the arena of building operations by dynamically controlling buildings based on human behavior and preferences.With respect to the increasing energy needs of our country and world, this research has far-reaching impact on environmental conservation, pollution, and the economy. The primary impact of this research is identifying the key factors that create significant energy savings for buildings, resulting in monetary savings and environmental protection. The results will be disseminated through and contribute to multiple conference talks and publications. A game, in which students will compete to save the most energy, will be developed with the aim of teaching how to conserve energy in daily life. Energy-focused workshop lessons will be developed and delivered to minority-majority K-12 schools in USC's neighborhood and other children and their families. In addition, the research team will partner in research with the computer science department of California State University, Dominguez Hills, a minority majority institution.The proposed interdisciplinary research challenges the ways that building engineers and designers, computer scientists, and behavioral scientists look at the pressing challenges of energy-efficient buildings. The research will integrate design with outside data sources and bring behavioral science to design, which in turn will trigger a design-method evolution for sustainable buildings. Through dynamic data collection, spatiotemporal information about energy use, and data on human comfort, the research will improve system optimization and adaptation through the use of intelligent software agents. The project will educate building occupants about their energy consumption and the ways that they can make concrete behavioral changes to achieve greater energy efficiency. The research brings to the problem of energy literacy an interdisciplinary approach in which cyber tools are manifested in physical space.

NSF 可持续能源途径 (SEP) 计划在 NSF 科学、工程和可持续发展教育 (SEES) 计划的框架下，将支持教授们的研究计划。南加州大学 (USC) 土木与环境工程系的 Burcin Becerik-Gerber、心理学系的 Wendy Wood、建筑系的 David Gerber 和计算机科学系的 Milind Tambe。多学科研究团队将开发一个由建筑物、人类和智能软件代理组成的能源感知、网络物理多代理框架，以实现可持续能源管理，采取集体的能源素养方法来影响建筑居住者、运营商、设计师、和工程师。调查人员将首先评估建筑居住者的行为和偏好，评估建筑设计/系统规范，并确定建筑运营政策。然后他们将构建一个多代理模型来集成这些不同的系统。基于智能体自主和团队合作的基础研究，多智能体框架将促进居住者和建筑设备之间的谈判。代理将向居住者提供反馈并控制建筑设备以节省能源。基于此集成模型，将向建筑设计师提供有关居住者能源使用情况的反馈，以形成对建筑生命周期足迹具有最持久影响的早期设计决策。中心重点是设计办公楼能源消耗的多组件模型，以便识别和测试能源系统的最佳变化点。具体来说，该研究预测，通过基于代理的系统改变居住者行为、设计/系统规范以及建筑运营商的政策，可以以综合方式优化能源使用并最大化居住者舒适度。该研究将在一座办公楼中得到验证，那里的居住者缺乏能源消耗的个人经济激励。该系统将在专业和学生设计师工作室进行测试，以验证模型对节能设计决策的影响。该研究的与众不同之处在于，它不仅将居住者的偏好和行为视为输入数据，而且将其视为更广泛的能源系统中的可控变量。然后，它利用复杂的多智能体系统来控制这些变量以节省能源。它还通过在早期设计阶段提供人类行为输入，将能源素养扩展到设计和工程领域，以及通过根据人类行为和偏好动态控制建筑物，将能源素养扩展到建筑运营领域。这项研究对我国乃至世界都具有深远的影响，包括环境保护、污染和经济。 这项研究的主要影响是确定了为建筑物带来显着节能的关键因素，从而节省资金并保护环境。研究结果将通过多次会议演讲和出版物进行传播和贡献。我们将开发一款游戏，让学生们竞争节省最多的能源，目的是教导如何在日常生活中节省能源。将开发以能源为重点的研讨会课程，并将其提供给南加州大学附近的少数族裔占多数的 K-12 学校以及其他儿童及其家庭。此外，该研究团队还将与少数族裔占多数的加州州立大学多明格斯山分校计算机科学系合作进行研究。拟议的跨学科研究挑战了建筑工程师和设计师、计算机科学家和行为科学家看待建筑的方式。节能建筑面临的紧迫挑战。该研究将设计与外部数据源相结合，并将行为科学引入设计中，从而引发可持续建筑设计方法的演变。通过动态数据收集、能源使用时空信息和人体舒适度数据，该研究将通过使用智能软件代理来改进系统优化和适应。该项目将教育建筑居住者了解他们的能源消耗以及他们如何做出具体的行为改变以实现更高的能源效率。该研究为能源素养问题带来了一种跨学科的方法，其中网络工具在物理空间中得到体现。