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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深深交织在一起。有关建筑物的设计决策会影响能源使用、人类舒适度和生产力。相反，人类动态和相关的市政政策决定影响建筑物的使用类型（例如，住宅、商业、工业）和驱动相关的能源消耗模式。未能理解人类、建筑物和能源系统之间的这些复杂的多尺度相互作用导致所有三个系统的次优设计和操作条件，并导致显著的能源、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，以了解和优化建筑，能源和人类系统在多个尺度上的相互作用。通过理解和优化建筑、能源和人类系统之间在多个尺度上的复杂相互作用（即，建筑，社区，城市）这项研究的目的是提供政策，设计和操作途径，更可持续，节能和生产力的城市。为了实现这一目标并促进城市建筑环境的可持续性，本研究将开展以下综合研究（R）和教育/推广（E）目标：R1）通过整合机器学习和工程模拟，在多个尺度上对建筑和能源系统的动态进行建模; R2）通过开发基于图形的推理模型，表征建筑，能源和人类系统之间的动态; R3）建模和探索政策，设计和运营干预影响（能源，经济，环境）; E1）创建一个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）开发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，并作为城市系统工程学术研究和教育终身整合的基础，以支持可持续、节能、该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准。

项目成果

期刊论文数量（15）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods

DOI：
10.1016/j.apenergy.2020.115981
发表时间：
2020-12-15
期刊：
APPLIED ENERGY
影响因子：
11.2
作者：
Roth, Jonathan;Martin, Amory;Jain, Rishee K.
通讯作者：
Jain, Rishee K.

Harnessing smart meter data for a Multitiered Energy Management Performance Indicators (MEMPI) framework: A facility manager informed approach

利用智能电表数据构建多层能源管理绩效指标 (MEMPI) 框架：设施经理知情方法

DOI：
10.1016/j.apenergy.2020.115435
发表时间：
2020
期刊：
Applied Energy
影响因子：
11.2
作者：
Roth, Jonathan;Brown IV, Howard Alexander;Jain, Rishee K.
通讯作者：
Jain, Rishee K.

Exploring the influence of urban context on building energy retrofit performance: A hybrid simulation and data-driven approach

DOI：
10.1016/j.adapen.2021.100038
发表时间：
2021-08
期刊：
影响因子：
0
作者：
Alex Nutkiewicz;Benjamin Choi;Rishee K. Jain
通讯作者：
Alex Nutkiewicz;Benjamin Choi;Rishee K. Jain

SCHMEAR: scalable construction of holistic models for energy analysis from rooftops

SCHMEAR：用于屋顶能源分析的整体模型的可扩展构建

DOI：
10.1145/3486611.3486666
发表时间：
2021
期刊：
and Transportation
影响因子：
0
作者：
Dougherty, Thomas R.;Huang, Tianyuan;Chen, Yirong;Jain, Rishee K.;Rajagopal, Ram
通讯作者：
Rajagopal, Ram

The impact of urban form on daily mobility demand and energy use: Evidence from the United States

城市形态对日常出行需求和能源使用的影响：来自美国的证据