CAREER: Building Occupant Network Dynamics (BOND) - Multi-scale Experimentation and Simulation in the Built Environment to Achieve Sustained Energy Conservation

职业：建筑占用者网络动力学 (BOND) - 建筑环境中的多尺度实验和模拟，以实现持续节能

• 批准号: 1733695
• 负责人: John Taylor
• 金额: $ 4.63万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-01-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1733695&HistoricalAwards=false
• 关键词: CAREER; Building; Occupant; Network; Dynamics

The research objective of this Faculty Early Career Development (CAREER) program award is to understand, improve and predict the dynamics that occur in networks of building occupants when individuals in these networks can view energy utilization of their peers. In pursuing this objective, this research aims to address the grand challenge of reducing building energy consumption and associated greenhouse gas emissions. Four energy utilization experiments in residential and administrative buildings will be performed to empirically assess and model the complex inter-relationships between occupants and occupant networks in influencing energy use decisions. These experimental results will be integrated into an agent-based simulation model to predict the impact of building occupant network dynamics on achieving sustained energy conservation in and across buildings. The pedagogical objective of this CAREER program award is to combine in-class experiments and pedagogical simulations to achieve critical thinking and higher order learning that fosters the dynamic engineer of the future called for by the National Academy of Engineering and the American Society of Civil Engineers.If successful, the results of this research will enhance the understanding of energy efficiency in buildings by establishing the critical influence of social and physical networks on achieving sustained energy conservation in buildings. The research will contribute simultaneously to the meeting of ambitious greenhouse gas emission targets set by our local and national governments and to the creation of fundamental knowledge on network dynamics. The research will contribute a new perspective on networks within which building occupants associate themselves with energy conservation practices and the diffusion of those practices within building occupant networks that will be measured and explained. The findings and the resulting simulation will be integrated into university and K-12 teaching and community outreach.

该学院早期职业发展（CAREER）计划奖的研究目标是了解，改善和预测当这些网络中的个人可以查看同龄人的能源利用时，建筑物占用者网络中发生的动态。 在追求这一目标的过程中，本研究旨在解决减少建筑能耗和相关温室气体排放的重大挑战。 四个能源利用实验在住宅和行政建筑将进行经验评估和建模的复杂的相互关系，居住者和居住者网络之间的影响能源使用的决定。 这些实验结果将被集成到一个基于代理的仿真模型，以预测建筑物内和建筑物之间的持续节能建筑居住者网络动态的影响。 这个CAREER计划奖的教学目标是联合收割机在课堂上的实验和教学模拟相结合，以实现批判性思维和更高层次的学习，培养由美国国家工程院和美国土木工程师协会呼吁的未来的动态工程师。如果成功，这项研究的结果将通过建立社会和物理网络对实现能源效率的关键影响，建筑物的持续节能。 该研究将同时有助于实现我们的地方和国家政府制定的雄心勃勃的温室气体排放目标，并创造有关网络动态的基础知识。 这项研究将有助于一个新的视角网络内，建筑居住者将自己与节能的做法和这些做法在建筑居住者网络内的扩散，将被测量和解释。 调查结果和由此产生的模拟将被整合到大学和K-12教学和社区推广。