Data Center Thermal Management for Energy and Space Efficiency
Excessive energy consumption of computing hardware accompanied with the required cooling infrastructure has emerged as a key limitation for future IT growth. Clients, especially in areas with high real estate costs (i.e., financial institutions), are often overwhelmed with the tradeoffs between cooling requirements, space/costs constraints & the increasing IT demand. Because of the complex physical nature of a data center, most facilities employ non-optimum solutions & clients are often pre-maturely faced with major capital investments in their IT facility infrastructure.
Solution for optimizing data center infrastructures for energy and space efficiency comprised of a combination of advanced metrology techniques for rapid measuring / surveying a data center & physics-based modeling techniques for optimizing the Data Center facility within a given thermal envelope for optimum space and most-efficient energy utilization
Event-driven Analytics and Optimization for Intelligent Power Grids
Detection, localization, and characterization of high impedance faults, especially detection and localization of energized, downed overhead lines on the distribution grid is a constant challenge for energy and utility companies.
Data for a network of optimally placed sensors with data transported over a BPL network will drive analytics and real time event analysis based on stochastic models of fault conditions and resulting signal characteristics to detect, localize, and characterize high impedance faults, including downed energized lines.