CPS:Medium: LoCal - A Network Architecture for Localized Electrical Energy Reduction, Generation and Sharing

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。这项研究的目标是了解无处不在的信息如何改变能源生产，分配和使用。一个更可扩展和灵活的电力基础设施的设计，鼓励有效利用，整合当地发电，并通过能源的可用性和使用随着时间的推移，管理需求，进行了调查。该方法是在其物理表现形式的能源分配系统上开发网络覆盖：机房，建筑物，社区，孤立的发电岛和区域电网。将构建一系列规模化的实验能源网络，以展示监控、协商协议、控制算法和智能电源开关，将数据中心、建筑物、可再生能源：农场和离网村庄中的信息和能源流整合在一起。这些将通过更大规模的模拟进行推广和验证。求婚？的智力价值在于广泛理解信息如何提高能源效率：通过各种层次的聚合，通过智能地将负荷与来源相匹配，以及通过管理如何和何时将能源交付给需求，在时间和形式上适应现有供应。双向的信息交换被集成在任何地方，电力被转移。更广泛的影响包括在信息和能源技术新的跨学科课程中培训不同的学生，如本科生和代表性不足的群体。通过展示能源的碳足迹及其总体使用量的大幅减少，可再生能源的更大渗透，同时避免额外的化石燃料工厂，以及塑造新的能源意识和管理文化，实现了社会影响。计算机科学的发展将加速，以应对网络物理信息处理的挑战。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The objective of this research is to understand how pervasive information changes energy production, distribution and use. The design of a more scalable and flexible electric infrastructure, encouraging efficient use, integrating local generation, and managing demand through awareness of energy availability and use over time, is investigated. The approach is to develop a cyber overlay on the energy distribution system in its physical manifestations: machine rooms, buildings, neighborhoods, isolated generation islands and regional grids. A scaled series of experimental energy networks will be constructed, to demonstrate monitoring, negotiation protocols, control algorithms and Intelligent Power Switches integrating information and energy flows in a datacenter, building, renewable energy: farm", and off-grid village. These will be generalized and validated through larger scale simulations. The proposal?s intellectual merit is in understanding broadly how information enables energy efficiencies: through intelligent matching of loads to sources, via various levels of aggregation, and by managing how and when energy is delivered to demand, adapted in time and form to available supply. Bi-directional information exchange is integrated everywhere that power is transferred. Broader impacts include training diverse students, such as undergraduates and underrepresented groups, in a new interdisciplinary curriculum in information and energy technologies. Societal impact is achieved by demonstrating dramatic reductions in the carbon footprint of energy and its overall usage, greater penetration of renewables while avoiding additional fossil fuel plants, and shaping a new culture of energy awareness and management. The evolution of Computer Science will be accelerated to meet the challenges of cyber-physical information processing.