Software Architecture and System for Delivering Selected Performance Management Protocols for Zero Emission Electrical Generators
개요
발명자
Sean K. Frederick; Adam C. Jorgenson; Joel A. Jorgenson
IPC 분류
CPC 분류
A zero-emission generator system comprises hydrogen fuel cell modules, electrolyzers, energy storage components, and a cloud-based telemetry system for autonomous operational control. The system receives electrical power from renewable sources and grid connections, with excess energy directed to electrolyzers for hydrogen production and storage in compressed form. A control system interfaces with cloud-based processing algorithms that analyze real-time utility pricing, renewable energy availability, storage levels, and market conditions to select optimal operational protocols. Four distinct protocols enable cost optimization, renewable energy maximization, storage maximization, and revenue generation through energy sales and grid services. The cloud-based system processes external data including utility rate structures, weather forecasting, and energy market pricing to generate operational commands transmitted to local control systems. Protocol selection occurs autonomously based on user preferences and real-time conditions, enabling proportional or absolute energy source allocation to supply electrical loads. The system coordinates electrical storage in batteries with chemical storage as compressed hydrogen, providing extended operational duration and grid independence while optimizing economic performance through intelligent energy source management and market participation capabilities.
원문 (중국어)
A zero-emission generator system comprises hydrogen fuel cell modules, electrolyzers, energy storage components, and a cloud-based telemetry system for autonomous operational control. The system receives electrical power from renewable sources and grid connections, with excess energy directed to electrolyzers for hydrogen production and storage in compressed form. A control system interfaces with cloud-based processing algorithms that analyze real-time utility pricing, renewable energy availability, storage levels, and market conditions to select optimal operational protocols. Four distinct protocols enable cost optimization, renewable energy maximization, storage maximization, and revenue generation through energy sales and grid services. The cloud-based system processes external data including utility rate structures, weather forecasting, and energy market pricing to generate operational commands transmitted to local control systems. Protocol selection occurs autonomously based on user preferences and real-time conditions, enabling proportional or absolute energy source allocation to supply electrical loads. The system coordinates electrical storage in batteries with chemical storage as compressed hydrogen, providing extended operational duration and grid independence while optimizing economic performance through intelligent energy source management and market participation capabilities.