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

这个教师早期职业发展（Career）项目奖的研究目标是理解、改善和预测当这些网络中的个人可以看到他们的同龄人的能源利用时，建筑居住者网络中发生的动态。为了实现这一目标，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。将在住宅和行政建筑中进行四项能源利用实验，以经验评估和模拟影响能源使用决策的居住者和居住者网络之间复杂的相互关系。这些实验结果将被整合到一个基于主体的仿真模型中，以预测建筑居住者网络动态对实现建筑内和建筑间持续节能的影响。该职业计划的教学目标是将课堂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，培养国家工程院和美国土木工程师协会所要求的未来充满活力的工程师。如果成功，本研究的结果将通过建立社会和物理网络对实现建筑持续节能的关键影响，增强我们对建筑能源效率的理解。这项研究将同时有助于实现我们地方和国家政府设定的雄心勃勃的温室气体排放目标，并有助于创造关于网络动力学的基础知识。该研究将为建筑居住者将自己与节能实践联系起来的网络以及这些实践在建筑居住者网络中的扩散提供新的视角，这些实践将被测量和解释。研究结果和由此产生的模拟将整合到大学和K-12教学和社区外展中。

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 our 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.