Intelligent Biomass Heater

Background
Residential wood combustion, particularly from cordwood stoves, is a disproportionately significant source of fine particulate matter (PM2.5) emissions, despite its minor contribution to overall energy consumption. This environmental concern primarily stems from incomplete combustion, which is a consequence of factors such as poor air-fuel mixing, suboptimal chamber temperatures, insufficient residence time for the fuel/air mixture, or an overall lack of available oxygen. A major challenge with existing wood-burning devices is their reliance on manual controls for critical operational parameters like air supply and refueling. This manual intervention frequently leads to user error, resulting in real-world emission levels that are often considerably higher than those achieved under controlled certification testing conditions.
Technology
Researchers at Stony Brook University developed an intelligent stove that actively modulates incoming air to enhance combustion performance and minimize emissions. It employs a minimal set of measurement sensors, actuators, and controls. Sensors gather data on stove temperature, weight, and airflow rates, which are then used to estimate critical performance metrics like heat release rate, instantaneous stove efficiency, combustion stoichiometry, and wood moisture content. A feedback control algorithm processes these estimated parameters to optimize the variable application of combustion air. Furthermore, the system provides automated recommendations for refueling and component replacement through intelligent decision-making, effectively eliminating user-error in emissions production.
Advantages
- Enhanced combustion efficiency
- Reduced particulate emissions
- Minimized user error
- Real-time performance monitoring
- Automated maintenance alerts
Application
- Smart Residential Wood Stoves
- Retrofit Systems for Existing Wood Stoves
- Intelligent Combustion Control
Inventors
Dimitris Assanis, Assistant Professor, Mechanical Engineering
Jon Longtin, Associate Professor, Mechanical Engineering
Jason Loprete, Doctoral Candidate, Mechanical Engineering
Licensing Potential
Development partner - Commercial partner - Licensing
Licensing Status
Available
Licensing Contact
Donna Tumminello, Assistant Director, Intellectual Property Partners, donna.tumminello@stonybrook.edu, 6316324163
Patent Status
Patent Application Filed
Stage of Development
Prototype available
Tech ID
050-9372
