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。本研究的目的是了解无处不在的信息如何改变能源的生产、分配和使用。研究了一个更具可扩展性和灵活性的电力基础设施的设计，鼓励有效使用，整合当地发电，并通过对能源可用性和长期使用的认识来管理需求。该方法是在物理表现的能源分配系统上开发一个网络覆盖：机房、建筑物、社区、孤立的发电岛和区域电网。将构建一系列规模较大的实验性能源网络，以演示数据中心、建筑物、可再生能源农场和离网村庄的监测、协商协议、控制算法和集成信息和能量流的智能电源开关。这些将通过更大规模的模拟得到推广和验证。这个提议吗?他的智力价值在于广泛地理解信息是如何提高能源效率的：通过智能地匹配负载和资源，通过不同级别的聚合，通过管理能源如何以及何时交付给需求，及时和形式地适应可用的供应。双向信息交换集成在权力传递的任何地方。更广泛的影响包括培训不同的学生，如本科生和代表性不足的群体，学习新的信息和能源技术跨学科课程。通过大幅减少能源的碳足迹及其总体使用量，提高可再生能源的渗透率，同时避免额外的化石燃料工厂，以及塑造一种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会加速，以迎接信息处理的挑战。

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.