Award Data

Grid-tied energy storage systems provide stabilization to the electric grid that is necessary to accommodate the growing percentage of electricity generated by intermittent renewable energy sources such as wind and solar. Existing conversion systems between the storage media and the utility lines are large, costly and only 95%-98% energy efficient. In this ARPA-E project, Opcondys, Inc. will build ...

We propose to develop a stable, low-cost, low power CO2 sensor module that meets the requirements of the ARPA-E SENSORS FOA, namely, 30 ppm precision over a dynamic range of 400 ppm to 2000 ppm with 10 ppm drift per year. Existing optical non-dispersive infrared (NDIR) CO2 sensors simply cannot scale to the cost and power requirements of the FOA. We therefore propose a solid state architecture t ...

Grid-tied energy storage systems provide stabilization to the electric grid that is necessary to accommodate the growing percentage of electricity generated by intermittent renewable energy sources such as wind and solar. Existing conversion systems between the storage media and the utility lines are large, costly and only 95%-98% energy efficient. In this ARPA-E project, Opcondys, Inc. will build ...

Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to further develop and validate a robust, operational biomonitoring application that can process soil microbiome data to reliably detect episodic and low-level chronic contamination while maintaining low false alarm rate.The Phase II SBIR work will build upon the successful Phase I proof-of-concept demonst ...

Empower Semiconductor has developed a resonant integrated voltage regulator (IVR) technology that can dramatically improve the energy efficiency of any digital CMOS IC. As Moore’s law has advanced, the plexity and power needs of digital ICs has grown dramatically. The voltages required by these ICs have lowered and the resulting voltage accuracy needs have become more stringent. Existing voltage ...

Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of th ...

During Phase I and a first Phase II, Welkin Sciences developed the Channel Realization Generator (CReG) algorithm, an enhanced functional replacement for the ACIRF code intended to be embedded into software link simulations and HWIL fading channel simulators. The proposed second Phase II effort will refine the CReG documentation and its software and firmware implementations. Many in the strategic ...

To address the DTRA need for enhanced island-mode operation and strategies for defense critical infrastructure (DCI) in the event of commercial power grid loss or disruption due to an electromagnetic pulse (EMP) or high-power microwaves (HPMs), Physical Optics Corporation (POC) has developed an Optimizing power Availability and Sustainability in Islanded Sites (OASIS) methodology. This solution is ...

In Phase I of this effort we analyzed the structural response of a BLU 109 during typical penetration events. Based on these finite element results, we proposed and demsonstrated a simple robust concept for a passive penetrator sensor that identifies the material being penetrated and also correlates strongly with its underground trajectory. Such a sensor would obviously provide valuable informatio ...

During Phase I, IFOS demonstrated the feasibility of using embedded optical Fiber Bragg Grating (FBG) sensor networks to measure resistance to penetration (for subsequent weapons) in concrete damaged by a weapon projectile. FBG sensors are well suited for monitoring dynamic strain in concrete structures due to their small size, low cost, ability to be embedded internally or surface mounted; and th ...