Reduced emissions from cogeneration boilers through predictive control and radio-based moisture content measurement

Wood fuel with right moisture content can reduce emissions of CO, NOX, and dust from CHP boilers, which has been demonstrated by the University of Gävle.

The boiler's control system can be extended with a machine-learned module (digital twin) that calculates emissions, dust, and power a few hours in advance through model-based predictive control (MPC).

The boiler's fans are currently regulated based on the temperature, which is affected by the amount of wood fuel and its moisture. Radarbolaget has developed a solution for moisture content measurement on conveyor belts. The equipment is today integrated into the control systems at Johannes Kraftvärmeverk and Värtaverket.

The project will predict the desired moisture content or control the fans from existing moisture content for optimal emissions, dust, and power, and describe possible objectives and process changes. The project will work with business development by quantifying customer benefits and understanding the market value.