SCC-IRG Track 1: Sociotechnical Systems to Enable Smart and Connected Energy-Aware Residential Communities

SCC-IRG 第 1 轨道：社会技术系统支持智能互联能源感知住宅社区

• 批准号: 1737591
• 负责人: Panagiota Karava
• 金额: $ 358.19万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1737591&HistoricalAwards=false
• 关键词: SCC; IRG; Track; Sociotechnical; Systems

This project aims to develop a new paradigm for smart and connected residential communities that engages inhabitants in understanding and reducing their home energy use while increasing their environmental awareness, responsiveness to collective goals, and improving their quality of life. The research will lead to discoveries concerning how individuals, groups, and residential communities make decisions related to their home energy consumption. Based on this knowledge, this project will develop feedback mechanisms integrated into user-interactive smart devices to enable optimal energy management. The Indiana Housing and Community Development Agency, several industry stakeholders and various community action groups will be engaged in this work throughout the lifetime of the project. Smart and connected (S&C) technology will be implemented in several hundred households in multiple residential communities that will be used as research test-beds and will cover a wide range of demographics, locations, and construction. The research outcomes will be integrated in teaching modules that support curriculum and workforce development as well as capacity-building in engineering, social and economic science, and polytechnic schools at Purdue. Through sociotechnical research advances, community engagement, and dissemination, this project will create a national model for "S&C energy-aware residential communities" in the housing sector, and by example point the broader research community toward S&CC research frontiers that enhance community functioning and national prosperity.Fundamental advances in machine learning and mechanism design, along with integrative research in human-machine interaction, behavioral and social sciences, and building energy systems will lead to discoveries that challenge our current understanding of behavior and response to feedback both at the individual and community-level. Given the large population size and the range of learning and community-based feedback mechanisms along with audio/visual end-user systems, the findings pertaining to the use of customized feedback and S&C technology to influence behavior will lead to general principles of human behavior that can be transferred to domains beyond energy use. The researchers will establish a new sociotechnical modeling approach based on Bayesian multi-scale clustering algorithms and game-theoretic models that will impact multiple disciplines and research activities in different S&CC application domains, such as energy, water, transportation, economic development, environmental quality, and urban planning.

该项目旨在为智能和互联住宅社区开发一个新的范例，让居民了解和减少他们的家庭能源使用，同时提高他们的环境意识，对集体目标的响应，并提高他们的生活质量。这项研究将导致关于个人、团体和住宅社区如何做出与其家庭能源消耗相关的决策的发现。基于这些知识，该项目将开发集成到用户交互智能设备中的反馈机制，以实现最佳的能源管理。印第安纳州住房和社区发展局、几个行业利益相关者和各种社区行动团体将在项目的整个生命周期内参与这项工作。智能互联(S&C)技术将在多个住宅社区的数百户家庭中实施，作为研究试验床，将覆盖广泛的人口统计、地点和建筑。研究成果将被整合到教学模块中，以支持普渡大学工程、社会和经济科学以及理工学院的课程和劳动力发展以及能力建设。通过社会技术研究的进步、社区参与和传播，这个项目将在住房领域创建一个全国模式的“S节能住宅社区”，并通过实例将更广泛的研究社区引向增强社区功能和国家繁荣的研究前沿。机器学习和机制设计的基础进展，以及人机交互、行为和社会科学以及建筑能源系统的综合研究，将导致在个人和社区层面上挑战我们目前对行为和反馈反应的理解的发现。考虑到庞大的人口规模、广泛的学习和基于社区的反馈机制以及视听终端用户系统，有关使用定制反馈和S技术来影响行为的研究结果将导致人类行为的一般原则，这些原则可以转移到能源使用以外的领域。研究人员将基于贝叶斯多尺度聚类算法和博弈论模型建立一种新的社会技术建模方法，该方法将影响S和CC应用领域的多个学科和研究活动，如能源、水、交通、经济发展、环境质量和城市规划。

项目成果

Online building energy model to evaluate heating and cooling-related behavior changes for eco-feedback in a multifamily residential building

在线建筑能源模型，用于评估多户住宅建筑中与供暖和制冷相关的行为变化，以实现生态反馈

• 发表时间: 2019
• 期刊: 16th IBPSA International Conference.
• 作者: Sang Woo Ham, Panagiota Karava

Human decision making during eco-feedback intervention in smart and connected energy-aware communities

• DOI: 10.1016/j.enbuild.2022.112627
• 发表时间: 2022-11-16
• 期刊: ENERGY AND BUILDINGS
• 影响因子: 6.7
• 作者: Kim，Huijeong;Bilionis，Ilias;Braun，James E.
• 通讯作者: Braun，James E.

MySmartE – An eco-feedback and gaming platform to promote energy conserving thermostat-adjustment behaviors in multi-unit residential buildings

MySmartE — 一个生态反馈和游戏平台，用于促进多单元住宅建筑的节能恒温器调节行为

• DOI: 10.1016/j.buildenv.2022.109252
• 发表时间: 2022
• 期刊: Building and Environment
• 影响因子: 7.4
• 作者: Kim, Huijeong;Ham, Sangwoo;Promann, Marlen;Devarapalli, Hemanth;Bihani, Geetanjali;Ringenberg, Tatiana;Kwarteng, Vanessa;Bilionis, Ilias;Braun, James E.;Rayz, Julia Taylor
• 通讯作者: Rayz, Julia Taylor