CAREER: UrbanEMOS: An Urban Energy Management Operating System for understanding and co-optimizing building, energy and human systems at multiple scales

职业：UrbanEMOS：城市能源管理操作系统，用于在多个尺度上理解和共同优化建筑、能源和人类系统

基本信息

批准号：
1941695
负责人：
Rishee Jain
金额：
$ 50万
依托单位：
Stanford University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2025-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1941695&HistoricalAwards=false
关键词：
CAREER UrbanEMOS Urban Energy Management

项目摘要

Building, energy, and human systems are deeply intertwined in cities. Design decisions regarding buildings impact energy usage and human comfort and productivity. Conversely, human dynamics and associated municipal policy decisions impact the use types of buildings (e.g., residential, commercial, industrial) and drive associated energy consumption patterns. Failing to understand these complex multi- scale interactions between human, building and energy systems leads to sub-optimal design and operating conditions for all three systems and result in significant energy, economic and environmental costs. The overarching goal of this research is to develop an Urban Energy Management Operating System (UrbanEMOS) that integrates methods from engineering, data science, and urban design/policy to understand and optimize building, energy, and human system interactions at and across multiple scales. By understanding and optimizing the complex interactions between building, energy, and human systems at multiple scales (i.e., building, community, urban) this research aims to provide policy, design, and operational pathways for more sustainable, energy efficient, and productive cities. To accomplish this goal and advance sustainability of the urban built environment, this research will undertake the following integrated research (R) and educational/outreach (E) objectives: R1) Model the dynamics of building and energy systems at multiple scales through integration of machine learning and engineering simulation; R2) Characterize dynamics between building, energy and human systems by developing a graph-based inference model; R3) Model and explore policy, design and operational intervention impacts (energy, economic, environmental); E1) Create a new project-based laboratory course - Data-driven Urban Engineering Lab; E2) Develop K-12/undergraduate internship programs; E3) Launch an online professional training mini-course. Overall, this research is targeted to yield fundamental knowledge on the complex dynamics between building, energy, and human systems and serve as a foundation for life- long integration of scholarly research and education in urban systems engineering to support the design of sustainable, energy efficient, and productive communities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

建筑、能源和人类系统在城市中紧密地交织在一起。有关建筑物的设计决策会影响能源使用以及人类舒适度和生产力。相反，人类动态和相关的市政政策决策会影响建筑物的使用类型（例如住宅、商业、工业）并驱动相关的能源消耗模式。未能理解人类、建筑和能源系统之间这些复杂的多尺度相互作用会导致所有三个系统的设计和运行条件不理想，并导致巨大的能源、经济和环境成本。这项研究的总体目标是开发一个城市能源管理操作系统（UrbanEMOS），该系统集成了工程、数据科学和城市设计/政策的方法，以理解和优化建筑、能源和人类系统在多个尺度上的相互作用。通过理解和优化多个尺度（即建筑、社区、城市）的建筑、能源和人类系统之间的复杂相互作用，本研究旨在为更加可持续、节能和高效的城市提供政策、设计和运营途径。为了实现这一目标并促进城市建筑环境的可持续性，本研究将进行以下综合研究 (R) 和教育/推广 (E) 目标： R1) 通过机器集成在多个尺度上对建筑和能源系统的动态进行建模学习和工程模拟； R2) 通过开发基于图的推理模型来表征建筑、能源和人类系统之间的动态； R3) 建模并探索政策、设计和运营干预影响（能源、经济、环境）； E1) 创建新的基于项目的实验室课程——数据驱动的城市工程实验室； E2) 制定K-12/本科生实习计划； E3) 推出在线专业培训迷你课程。总体而言，这项研究的目标是获得有关建筑、能源和人类系统之间复杂动态的基础知识，并为城市系统工程学术研究和教育的终身整合奠定基础，以支持可持续、节能的设计该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。