Bioenergy with carbon capture and storage (BECCS) has been identified by the Swedish Energy Agency as a must technology to achieve net-zero GHG emissions. There is a big potential to integrate BECCS in biomass/waste-fired combined heat and power (CHP) plants.
This seminar will present our work on using AI in the optimization of the dynamic operation of CO2 capture. AI is used to predict flue gas flowrates and compositions, which have significant influence on CO2 capture. AI is also used to simulate the dynamic operation of CO2 capture.
In addition, we proposed a rule-based method to determine when and how much CO2 should be captured to reduce the cost based on the marginal cost of CO2 capture. By using AI models, the performance of the operating rules is examined.