CPS: Synergy: Collaborative Research: Cognitive Green Building: A Holistic Cyber-Physical Analytic Paradigm for Energy Sustainability

CPS:协同:协作研究:认知绿色建筑:能源可持续性的整体网络物理分析范式

基本信息

项目摘要

1446582 (Shroff) and 1446478 (Hou). Buildings in the U.S. contribute to 39% of energy use, consume approximately 70% of the electricity, and account for 39% of CO2 emissions. Hence, developing green building architectures is an extremely critical component in energy sustainability. The investigators will develop a unified analytical approach for green building design that comprehensively manages energy sustainability by taking into account the complex interactions between these systems of systems, providing a high degree of security, agility and robust to extreme events. The project will serve to advance the general science in CPS, help bridge the gap between the cyber and civil infrastructure communities, educate students across different disciplines, include topics in curriculum development, and actively recruit underrepresented minority and undergraduate students. The main thesis of this research is that ad hoc green energy designs are often myopic, not taking into account key interdependencies between subsystems and users, and thus often lead to undesirable solutions. In fact, studies have shown that 28%-35% of LEED-certified buildings consumed more energy than their conventional counterparts, all of which calls for the development of a comprehensive analytical foundation for designing green buildings. In particular, the investigators will focus on three interrelated thrust areas: (i) Integrated energy management for a single-building, where the goal is to jointly consider the complex interactions among building subsystems. The investigators will develop novel control schemes that opportunistically exploit the energy demand elasticity of the building subsystems and adapt to occupancy patterns, human comfort zones, and ambient environments. (ii) Managing multi-building interactions to develop (near) optimal distributed control and coordination schemes that provide performance guarantees. (iii) Designing for anomalous conditions such as extreme weather and malicious attacks, where power grid connections and/or cyber-networks are disrupted. The research will provide directions at developing an analytical foundation and cross-cutting principles that will shed insight on the design and control of not only building systems, but also general CPS systems. An important goal is to help bridge the gap between the networking, controls, and civil infrastructure communities by giving talks and publishing works in all of these forums. The investigators will disseminate the research findings to industry as well as offer education and outreach programs to the K-12 students in STEM disciplines. The investigators will also actively continue their already strong existing efforts in recruiting women and underrepresented minorities, as well as providing rich research experience to undergraduate REU students. This project will provide fertile training for students spanning civil infrastructure research, networking, controls, optimization, and algorithmic development. The investigators will also actively include the outcomes of the research in existing and new courses at both the Ohio State University and Virginia Tech.
1446582(Shroff)和1446478(HOU)。美国的建筑物占能源使用的39%,消耗了大约70%的电力,占二氧化碳排放量的39%。因此,开发绿色建筑体系结构是能源可持续性中极为重要的组成部分。研究人员将通过考虑这些系统系统之间的复杂相互作用,为极端事件提供了高度的安全性,敏捷性和鲁棒性,可以为绿色建筑设计开发一种统一的分析方法,以全面管理能源可持续性。该项目将有助于推进CP的一般科学,帮助弥合网络和民用基础设施社区之间的鸿沟,对不同学科的学生进行教育,包括课程发展的主题,并积极招募代表性不足的少数群体和本科生。这项研究的主要论点是,临时绿色能源设计通常是近视的,不考虑子系统和用户之间的关键相互依赖性,因此通常会导致不良的解决方案。实际上,研究表明,有28%-35%的LEED认证建筑物消耗的能源比其传统同行的能源更多,所有这些都要求开发用于设计绿色建筑的全面分析基础。 特别是,调查人员将专注于三个相互关联的推力区域:(i)单构建的综合能量管理,其目标是共同考虑建筑子系统之间的复杂相互作用。研究人员将开发新颖的控制方案,以机会性地利用建筑物子系统的能源需求弹性,并适应占用模式,人类舒适区和环境环境。 (ii)管理多构建交互,以开发(接近)提供绩效保证的最佳分布式控制和协调方案。 (iii)设计针对极端天气和恶意攻击等异常条件,其中电网连接和/或网络网络被破坏。这项研究将提供开发分析基础和横切原则的方向,这些原则将洞悉不仅建筑系统的设计和控制,还可以洞悉一般的CPS系统。一个重要的目标是通过在所有这些论坛上进行会谈和出版作品来帮助弥合网络,控制和民用基础设施社区之间的差距。研究人员将向行业传播研究结果,并向STEM学科的K-12学生提供教育和外展计划。调查人员还将积极继续他们已经在招募妇女和代表性不足的少数群体方面继续进行了他们现有的努力,并为本科生的学生提供丰富的研究经验。该项目将为跨越民用基础设施研究,网络,控制,优化和算法发展的学生提供肥沃的培训。调查人员还将在俄亥俄州立大学和弗吉尼亚理工大学的现有课程和新课程中积极包括研究结果。

项目成果

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Thomas Hou其他文献

On DoF Conservation in MIMO Interference Cancellation Based on Signal Strength in the Eigenspace
基于特征空间信号强度的MIMO干扰消除中自由度守恒
  • DOI:
    10.1109/tmc.2021.3126449
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    7.9
  • 作者:
    Yongce Chen;Shaoran Li;Chengzhang Li;Huacheng Zeng;Brian Jalaian;Thomas Hou;Wenjing Lou
  • 通讯作者:
    Wenjing Lou
On the performance of MIMO-based ad hoc networks under imperfect CSI
不完善CSI下基于MIMO的自组织网络性能研究
Minimizing Age of Information Under General Models for IoT Data Collection
最小化物联网数据收集通用模型下的信息年龄

Thomas Hou的其他文献

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{{ truncateString('Thomas Hou', 18)}}的其他基金

Analysis of Singularity Formation in Three-Dimensional Euler Equations and Search for Potential Singularities in Navier-Stokes Equations
三维欧拉方程奇异性形成分析及纳维-斯托克斯方程潜在奇异性搜索
  • 批准号:
    2205590
  • 财政年份:
    2022
  • 资助金额:
    $ 41万
  • 项目类别:
    Continuing Grant
Solving Multiscale Problems and Data Classification with Subsampled Data by Integrating Partial Differential Equation Analysis with Data Science
通过将偏微分方程分析与数据科学相结合,利用二次采样数据解决多尺度问题和数据分类
  • 批准号:
    1912654
  • 财政年份:
    2019
  • 资助金额:
    $ 41万
  • 项目类别:
    Standard Grant
A Computer-Assisted Analysis Framework for Studying Finite Time Singularities of the 3D Euler Equations and Related Models
用于研究 3D 欧拉方程及相关模型的有限时间奇异性的计算机辅助分析框架
  • 批准号:
    1907977
  • 财政年份:
    2019
  • 资助金额:
    $ 41万
  • 项目类别:
    Standard Grant
NeTS: Small: Smart Interference Management for Wireless Internet of Things
NetS:小型:无线物联网的智能干扰管理
  • 批准号:
    1617634
  • 财政年份:
    2016
  • 资助金额:
    $ 41万
  • 项目类别:
    Standard Grant
Investigating Potential Singularities in the Euler and Navier-Stokes Equations Using an Integrated Analytical and Computational Approach
使用综合分析和计算方法研究欧拉和纳维-斯托克斯方程中的潜在奇点
  • 批准号:
    1613861
  • 财政年份:
    2016
  • 资助金额:
    $ 41万
  • 项目类别:
    Standard Grant
NeTS: JUNO: Cognitive Security: A New Approach to Securing Future Large Scale and Distributed Mobile Applications
NetS:JUNO:认知安全:保护未来大规模分布式移动应用程序的新方法
  • 批准号:
    1405747
  • 财政年份:
    2014
  • 资助金额:
    $ 41万
  • 项目类别:
    Standard Grant
Data-Driven Time-Frequency Analysis via Nonlinear Optimization
通过非线性优化进行数据驱动的时频分析
  • 批准号:
    1318377
  • 财政年份:
    2013
  • 资助金额:
    $ 41万
  • 项目类别:
    Standard Grant
FRG: Collaborative Research: Singularities, mixing and long time behavior in nonlinear evolution
FRG:协作研究:非线性演化中的奇异性、混合和长期行为
  • 批准号:
    1159138
  • 财政年份:
    2012
  • 资助金额:
    $ 41万
  • 项目类别:
    Standard Grant
CSR: Small: Collaborative Research: Towards User Privacy in Outsourced Cloud Data Services
CSR:小型:协作研究:在外包云数据服务中实现用户隐私
  • 批准号:
    1217889
  • 财政年份:
    2012
  • 资助金额:
    $ 41万
  • 项目类别:
    Standard Grant
Transparent Coexistence for Multi-Hop Secondary Cognitive Radio Networks: Theoretical Foundation, Algorithms, and Implementation
多跳辅助认知无线电网络的透明共存:理论基础、算法和实现
  • 批准号:
    1247830
  • 财政年份:
    2012
  • 资助金额:
    $ 41万
  • 项目类别:
    Standard Grant

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CPS: Synergy: Collaborative Research: DEUS: Distributed, Efficient, Ubiquitous and Secure Data Delivery Using Autonomous Underwater Vehicles
CPS:协同:协作研究:DEUS:使用自主水下航行器进行分布式、高效、无处不在和安全的数据传输
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