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

• 批准号: 1446478
• 负责人: Thomas Hou
• 金额: $ 41万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1446478&HistoricalAwards=false
• 关键词: CPS; Synergy; Collaborative; Research; Cognitive

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%，消耗约70%的电力，占二氧化碳排放量的39%。因此，发展绿色建筑结构是能源可持续性的一个极其重要的组成部分。调查人员将为绿色建筑设计开发一种统一的分析方法，通过考虑这些系统之间复杂的相互作用来全面管理能源可持续性，提供高度的安全性、敏捷性和对极端事件的鲁棒性。该项目将有助于推进CPS的一般科学，帮助弥合网络和民用基础设施社区之间的差距，教育不同学科的学生，包括课程开发中的主题，并积极招募代表性不足的少数民族和本科生。这项研究的主要论点是，特设绿色能源设计往往是短视的，不考虑子系统和用户之间的关键相互依赖关系，从而往往导致不良的解决方案。事实上，研究表明，28%-35%的LEED认证建筑比传统建筑消耗更多的能源，所有这些都要求为设计绿色建筑开发全面的分析基础。 特别是，调查人员将侧重于三个相互关联的重点领域：㈠单一建筑物的综合能源管理，其目标是共同考虑建筑物子系统之间复杂的相互作用。研究人员将开发新的控制方案，机会主义地利用建筑子系统的能源需求弹性，并适应占用模式，人类舒适区和周围环境。(ii)管理多建筑物的相互作用，以开发（接近）最佳的分布式控制和协调方案，提供性能保证。(iii)针对异常条件进行设计，例如极端天气和恶意攻击，其中电网连接和/或网络网络中断。该研究将为开发分析基础和跨领域原则提供方向，这些原则不仅将深入了解建筑系统的设计和控制，还将深入了解一般CPS系统。一个重要的目标是通过在所有这些论坛上发表演讲和出版作品，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，并为STEM学科的K-12学生提供教育和推广计划。调查人员还将积极继续他们在招募女性和代表性不足的少数民族方面已经很强的现有努力，并为本科REU学生提供丰富的研究经验。该项目将为学生提供丰富的培训，涵盖民用基础设施研究，网络，控制，优化和算法开发。调查人员还将积极将研究成果纳入俄亥俄州州立大学和弗吉尼亚理工大学的现有和新课程。