초록 ▼

A microprocessor controlled automated, multi-fuel apparatus to blend hydrogen, bio-fuel and/or natural or propane gases. This novel multi-stage apparatus first converts cooking oils into bio-fuel. The system automatically blends the bio-fuel with at least one of or both hydrogen gas, generated by a

A microprocessor controlled automated, multi-fuel apparatus to blend hydrogen, bio-fuel and/or natural or propane gases. This novel multi-stage apparatus first converts cooking oils into bio-fuel. The system automatically blends the bio-fuel with at least one of or both hydrogen gas, generated by a self-contained on-board hydrogen electrolyzer, and/or natural or propane gases. This blended “Hyenrich” gaseous fuel drives various processes including, but not limited to, cogeneration systems and electrical generators to produce “green” electricity by utilizing an adaptive and predictive learning algorithms to significantly reduce cost per kilowatt and lessen dependency on the over taxed utility grid, while simultaneously reducing emissions of CO, CO2 and NOx, making the method and apparatus an environmentally-friendly energy device.

대표청구항 ▼

1. An adaptive/predictive control for controlling an operation of a cogeneration system at a facility, said adaptive/predictive control comprising: a processor coupled to the cogeneration system for controlling the operation of the system;an adaptive/predictive routine programmed into said processor

1. An adaptive/predictive control for controlling an operation of a cogeneration system at a facility, said adaptive/predictive control comprising: a processor coupled to the cogeneration system for controlling the operation of the system;an adaptive/predictive routine programmed into said processor; andan input keyboard coupled to said processor for inputting data into said processor, said data including at least an initial run time for running the cogeneration system and an amount of bio-fuel available for use by said cogeneration system;said processor running said adaptive/predictive routine to monitor and track energy consumption at the facility and causing said cogeneration system to run at least during peak demand periods. 2. The adaptive/predictive control as recited in claim 1 wherein said processor determines an amount of bio-fuel available for use by said cogeneration system and adapts at least one of a run-time schedule or a mixture of fuels, including said bio-fuel, in response thereto. 3. The adaptive/predictive control as recited in claim 1 wherein said processor determines at least one of a cumulative hour-by-hour average energy consumption or a cumulative day-by-day average energy consumption, said processor predicting energy consumption at said facility in response to said at least one of a cumulative hour-by-hour average energy consumption or said cumulative day-by-day average energy consumption and causing said cogeneration system to run during said peak demand periods in response thereto. 4. The adaptive/predictive control as recited in claim 1 wherein said adaptive/predictive routine averages a first load level for a first period with a second load level for a second period and energizes said cogeneration system during a third period to cogenerate electricity in response thereto. 5. The adaptive/predictive control as recited in claim 4 wherein said first period is a current period and said second period is a previous period, said third period being a period where a load level at the location is at a peak level. 6. The adaptive/predictive control as recited in claim 5 wherein said first and second periods are at least one of a day or a week. 7. The adaptive/predictive control as recited in claim 6 wherein said cogeneration system comprises an internal combustion engine or turbine engine, said processor starting and running said internal combustion engine or turbine engine when an average of said first and second load levels exceed a high level established by a user. 8. The adaptive/predictive control as recited in claim 1 wherein said cogeneration system is located at an end-user facility and not a power generating facility, said method further comprising the step of: processing used cooking oil at the location to provide said bio-fuel.