Biomass heater system and method
AssigneeThe Research Foundation for The State University of New York
InventorsDimitris ASSANIS, Jon LONGTIN, Jason LOPRETE
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AssigneeThe Research Foundation for The State University of New York
InventorsDimitris ASSANIS, Jon LONGTIN, Jason LOPRETE
Estimating the term…
A biomass heater system and method, in particular, an intelligent biomass heater utilizing a minimal set of measurement sensors and a control strategy to actively modulate incoming air, enhancing stove combustion performance, and thereby eliminating user-error as a factor for emissions production. The heater implements methods to estimate critical performance metrics such as the heat release rate, instantaneous stove efficiency, combustion stoichiometry and biomass fuel moisture content using combinations of sensor reading such as the heater temperature, weight and airflow rates. These parameters are used in a feedback control algorithm to optimize the variable application of combustion air and reduce the burden on the operator by providing recommendations for refueling and replacement of components through automated, intelligent decision-making. The applied approach uses a combination of deep learning Neural Networks, Classification Models, and Reinforcement Learning to allow for a continuous prediction of emissions and operation mode and provide appropriate actuator adjustment.
An apparatus for controlling a biomass combustion appliance, the apparatus comprising:
A method for controlling a biomass combustion appliance, the method comprising:
A computer program product for controlling a biomass combustion appliance, the computer program product comprising:
Dependencies are inferred from the claim text.