Dynamic modelling and simulation of clean coal power generation

Abstract

Retrofitting coal-fired power plant (PP) with carbon capture technology can be used as an effective transition solution towards clean coal-based energy production. Thus, this study analyses the operational/behavioural performance of retrofitting carbon capture to a coal-fired power plant (PP-PCC plant). A real-time data-driven model representing PP-PCC plant is developed in Matlab/Simulink software facility. The model simulates the dynamic response of integrated plant subjected to operational uncertainty and unprecedented perturbation. A positive variation (increment of flowrate) of air, coal and lean solvent flowrates exhibit significant dynamic responses toward the power plant load, carbon capture efficiency (CC) and energy performance (EP). Where, variation of these variables contribute to the elevation of capture percentage and improvement of energy performance. This study is beneficial for preliminary understanding of the transient variable behaviours of clean coal power generation as one of the mitigation measure to ensure proposed integration is feasible in term of environmental and economic performances.