Optimum Wisdom Laboratories developed an adaptive power controller and adaptive control and learning algorithms to harness the synergy between energy storage devices and electrical generators, reducing the fuel required to produce electrical power for systems that have dynamic electrical loads. The adaptive control increases the system efficiency by operating the generator under optimal system conditions and uses the synergistic energy storage to provide power during periods when the generator operates less efficiently.
The Adaptive Control System started as a National Science Foundation (NSF) proposal focused on Solid Oxide Fuel Cell (SOFC) systems to capitalize on SOFCs ability to quietly and efficiently convert 40-60% of the chemical energy in Hydrogen and Hydrocarbon fossil fuels to electricity. The United States government, through the Solid State Energy Conversion Alliance, developed industrial collaborations and extended financial support for technical research and development of mass producible, modular SOFC units, capable of 3-10 kW at a price comparable with combustion based generators, $400/kW. Unfortunately, small, low cost SOFCs never became commercially available. As a result, Optimum Wisdom Laboratories broadened the focus of the adaptive controller to include commercially available AC and DC mechanical generators
The Adaptive Power Controller demonstrates that for systems with large dynamic electrical loads, the adaptive control and learning algorithms improves fuel use of Solid Oxide Fuel Cells (SOFC) by a factor of 2.6 over other fuel cell system control architectures and improve fuel use for mechanical AC generators by a factor of 7 over traditional mechanical AC generator systems.
Contact us for further information.