All Outputs (2)

Modelling of a post-combustion CO₂ capture process using neural networks (2015)
Journal Article
Li, F., Zhang, J., Oko, E., & Wang, M. (2015). Modelling of a post-combustion CO₂ capture process using neural networks. Fuel, 151, 156-163. https://doi.org/10.1016/j.fuel.2015.02.038

This paper presents a study of modelling post-combustion CO₂ capture process using bootstrap aggregated neural networks. The neural network models predict CO₂ capture rate and CO₂ capture level using the following variables as model inputs: inlet flu... Read More about Modelling of a post-combustion CO₂ capture process using neural networks.

Neural network approach for predicting drum pressure and level in coal-fired subcritical power plant (2015)
Journal Article
Oko, E., Wang, M., & Zhang, J. (2015). Neural network approach for predicting drum pressure and level in coal-fired subcritical power plant. Fuel, 151, 139-145. https://doi.org/10.1016/j.fuel.2015.01.091

There is increasing need for tighter controls of coal-fired plants due to more stringent regulations and addition of more renewable sources in the electricity grid. Achieving this will require better process knowledge which can be facilitated through... Read More about Neural network approach for predicting drum pressure and level in coal-fired subcritical power plant.