1 Evanescent Wave Coupling for High Power In-Motion Wireless Energy Transfer Efficient robust method for powering and charging electric vehicles while in transit. Efficient power transfer demonstrated in laboratory at kHz operating frequency. These lower frequencies mean cheaper power electronics and simpler implementation as well as being biologically safer. New SiC devices can provide these switching speeds necessary for high efficiency, high power wireless transfer. Specialized switching schemes in conjunction with component tuning indicate higher efficiencies and power transfers are obtainable than with linear sin wave supplies currently used. QUANTITATIVE IMPACT END-OF-PHASE GOAL STATUS QUO NEW INSIGHTS Program Goals Phase 1 Verify feasibility by demonstrating a high power level transfer (10s of kW). Phase 2 Demonstrate power transfer for vehicles in transit. Shift power source of vehicles from oil to grid power to reduce fuel costs as well as dependence on foreign oil. Reduction of combustion emissions by transferring most of the propulsion of vehicles to electric. Battery charging in transit will reduce size (and weight) of batteries (or other on- board storage device) on the vehicle and extend the electric range of vehicle from home base. Research at various universities began around the year 2000 on this type of power transfer. Typically low power [<500W] MHz operating frequency. Mostly laboratory demonstrations to date, some field tests. Non-Contact power transfer over short distances [~1ft]. Mostly stationary charging systems. TECHNICAL APPROACH: Pursue integrating various levels of computer models to optimize power and efficiency via component selection along with matched control algorithms to provide a much larger power transfer than currently obtainable. Laboratory verification of theoretical development at key phases of project. Develop power transfer levels exceeding 50 kW for moving vehicles. Develop tradeoffs for component, construction, and efficiency costs for in-road applications. TECHNICAL APPROACH: Pursue integrating various levels of computer models to optimize power and efficiency via component selection along with matched control algorithms to provide a much larger power transfer than currently obtainable. Laboratory verification of theoretical development at key phases of project. Develop power transfer levels exceeding 50 kW for moving vehicles. Develop tradeoffs for component, construction, and efficiency costs for in-road applications.

2 Revolutionary capability for intelligently delivering energy, logistics information, and security QUANTITATIVE IMPACT END-OF-PHASE GOAL STATUS QUO NEW INSIGHTS Automatic Scene Interpretation for Activity Characterization Leading to Intuitive Buildings Security, energy and logistical controls are simplistic and not adaptable based on true activity. No occupancy or task driven delivery of services Task Adaptive Energy (TAE) – purpose driven energy delivery. Task Adaptive Logistics (TAL) – need driven logistical decisions. Scene-based scene recognition (presence, position, pose, purpose) enables tailored delivery of services. Task Adaptive Security (TAS) – Secure actions based on intelligent surveillance. Monitoring Activities via Multi-modal Scene Interpretation MAIN ACHIEVEMENT: Automated system response based upon human behavior/mission. HOW IT WORKS: Multi-modal data-based scene characterization provides: Determination of presence, position, pose and purpose; Information on human behavior and intent. Image data sources include video, IR, LIDAR, etc. Core algorithms include Change detection, object identification, object tracking via optical flow, path identification, face detection, pose determination; ASSUMPTIONS AND LIMITATIONS: Allowance of imaging sensor installation. Task determination will depend in part on a priori knowledge of facility function. Enhanced security and more efficient emergency response Location of intruders Monitoring evacuations Efficient flow of material through facility based on tasks and needs. Substantial reduction in energy though efficient delivery for: Directed, efficient lighting HVAC Program Goals Phase – 0 - Verify feasibility by developing methods for presence, position and pose on a small test bed. Phase – 1 - Deploy prototype to a target facility with 1 or 2 target applications. Collect data and refine methods.

3 Revolutionary capability for rapid production of JP-8 in-theatre using engineered photobioreactor. QUANTITATIVE IMPACT END-OF-PHASE GOAL STATUS QUO NEW INSIGHTS Field-Deployable JP-8 Production Using Ultra-High Areal & Volumetric Yield Algae Photobioreactors open ponds and closed reactors limited to low areal and volumetric yield due to photosynthetic saturation and surface shading Integrated sunlight collection and distribution using novel planar waveguides eliminates photosynthetic saturation and surface shading Reduced biofouling via transparent super hydrophobic coatings MAIN ACHIEVEMENT: HOW IT WORKS: Sunlight injected into planar waveguides allow for10X improvement sunlight utilization; cell densities increase 10X; water needs decrease 10X; bio-fouling nonissue; downstream energy requirements decrease 5X; better control of light and nutrient triggers result in greater than 20X yield improvement in lab environment ASSUMPTIONS AND LIMITATIONS: Sunlight / Water / Nutrient / CO 2 availability Areal yield primarily limited by sunlight availability In-theatre energy security and independence Reduced in-theatre logistics requirements Co-production of liquid fuels and electricity possible through spectral- splitting Program Goals Phase – 1 - Demonstrate order of magnitude improvement in algal growth (grams/liter) in small- scale reactor w/o bio- fouling. Phase – 2 - Demonstrate 50 m 2 scalable integrated bioJP- 8 production system.