TY - JOUR
T1 - Flexible operation of coal fired power plant integrated with post combustion CO2 capture using model predictive control
AU - Wu, Xiao
AU - Wang, Meihong
AU - Shen, Jiong
AU - Li, Yiguo
AU - Lawal, Adekola
AU - Lee, Kwang Y.
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/3
Y1 - 2019/3
N2 - The growing demand for CO2 capture from coal-fired power plant (CFPP) has increased the need to improve the dynamic operability of the integrated power generation-CO2 capture plant. Nevertheless, high-level operation of the entire system is difficult to achieve due to the strong interactions between the CFPP and post combustion CO2 capture (PCC) unit. In addition, the control tasks of power generation and CO2 removal are in conflict, since the operation of both processes requires consuming large amount of steam. For these reasons, this paper develops a model for the integrated CFPP-PCC process and analyzes the dynamic relationships for the key variables within the integrated system. Based on the investigation, a centralized model predictive controller is developed to unify the power generation and PCC processes together, involving the key variables of the two systems and the interactions between them. Three operating modes are then studied for the predictive control system with different focuses on the overall system operation; power generation demand tracking and satisfying the CO2 capture requirement. The predictive controller can achieve a flexible operation of the integrated CFPP- PCC system and fully exert its functions in power generation and CO2 reduction.
AB - The growing demand for CO2 capture from coal-fired power plant (CFPP) has increased the need to improve the dynamic operability of the integrated power generation-CO2 capture plant. Nevertheless, high-level operation of the entire system is difficult to achieve due to the strong interactions between the CFPP and post combustion CO2 capture (PCC) unit. In addition, the control tasks of power generation and CO2 removal are in conflict, since the operation of both processes requires consuming large amount of steam. For these reasons, this paper develops a model for the integrated CFPP-PCC process and analyzes the dynamic relationships for the key variables within the integrated system. Based on the investigation, a centralized model predictive controller is developed to unify the power generation and PCC processes together, involving the key variables of the two systems and the interactions between them. Three operating modes are then studied for the predictive control system with different focuses on the overall system operation; power generation demand tracking and satisfying the CO2 capture requirement. The predictive controller can achieve a flexible operation of the integrated CFPP- PCC system and fully exert its functions in power generation and CO2 reduction.
KW - Coal-fired power plant
KW - Dynamic behavior analysis
KW - Flexible operation
KW - Model predictive control
KW - Solvent-based post-combustion carbon capture
UR - https://www.scopus.com/pages/publications/85059967150
U2 - 10.1016/j.ijggc.2018.12.004
DO - 10.1016/j.ijggc.2018.12.004
M3 - 文章
AN - SCOPUS:85059967150
SN - 1750-5836
VL - 82
SP - 138
EP - 151
JO - International Journal of Greenhouse Gas Control
JF - International Journal of Greenhouse Gas Control
ER -