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.

在NSF科学，可持续性工程和教育（SEES）倡议下，NSF的可持续能量道路（SEP）计划将支持教授研究计划。民用与环境工程系的Burcin Becerik-Gerber，心理学系温迪·伍德（Wendy Wood），建筑系的戴维·格伯（David Gerber）和南加州大学（USC）计算机科学系的Milind Tambe（USC）。研究人员的多学科团队将开发一种能源感知的，网络物理的多代理框架，建筑物，人类和智能软件代理，用于可持续能源管理，采用集体的能源素养方法来影响建筑物，经营者，设计师，设计师和工程师。研究人员将首先评估建筑物居民的行为和偏好，评估建筑物设计/系统规格并确定建筑物的运营政策。然后，他们将建立一个多代理模型来集成这些不同的系统。在代理商的自主权和团队合作的基础研究的基础上，多代理框架将有助于乘员和建筑设备之间的谈判。代理商将向乘员和控制建筑设备提供反馈，以节省能源。基于这个集成的模型，将提供有关乘员能源对建筑设计师的能源使用的反馈，以塑造对建筑物的生命周期足迹的持久影响最长的早期设计决策。中心重点是设计办公楼中能源消耗的多组分模型，以识别和测试能源系统的最佳变化点。具体而言，研究预测，可以通过更改乘员行为，设计/系统规格以及通过基于代理的系统来改变乘员行为，设计/系统规格以及建筑运营商的策略，以综合的方式最大化居住者的舒适性。该研究将在办公楼中进行验证，在办公大楼中，居民缺乏个人的能源消耗措施。该系统将在专业和学生设计师工作室中进行测试，以验证该模型在能源知识设计决策中的影响。该研究通过将居住者的偏好和行为视为输入数据来区分自身，而且在更广泛的能源系统中也是可控的变量。然后，它利用一个复杂的多基因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的投入，将能源素养扩展到设计和工程领域，以及通过基于人类行为和偏好动态控制建筑物的建筑物的舞台。在我们国家和世界的不断增长的能源需求方面，这项研究对环境保护，污染，污染和经济有远见。 这项研究的主要影响是确定为建筑物提供大量节能的关键因素，从而节省货币和环境保护。结果将通过多个会议和出版物进行传播并促进。将开发一款学生将竞争最多能量的游戏，以教导如何在日常生活中节省能量。以能源为中心的研讨会课程将开发并交付给USC附近的少数群体K-12学校，其他儿童及其家人。此外，研究小组将与加利福尼亚州立大学计算机科学系，多明格斯山（Dominguez Hills）（少数族裔多数机构）合作。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的方式挑战能源效率建筑物的压迫挑战。该研究将将设计与外部数据源集成，并将行为科学带入设计，这反过来又将触发可持续建筑的设计方法演化。通过动态数据收集，有关能源使用的时空信息以及有关人类舒适的数据，研究将通过使用智能软件代理来改善系统优化和适应。该项目将教育建筑物居民的能源消耗以及他们可以做出具体的行为改变以提高能源效率的方式。该研究带来了能量素养问题的一种跨学科方法，其中网络工具在物理空间中表现出来。