DocumentCode :
2089741
Title :
Optimization Model and PID Temperature Control System Design for CO2 Capture Process by CaO Carbonation-CaCO3 Calcination Cycles
Author :
Wei Li ; Dai, Chao ; Liu, Lei ; Li, Yalou
Author_Institution :
Energy & Environ. Res. Center, North China Electr. Power Univ., Beijing, China
fYear :
2010
fDate :
28-31 March 2010
Firstpage :
1
Lastpage :
4
Abstract :
CO2 capture processes by carbonation-calcination cycles of CaO/CaCO3 were limited by the carbonation conversion and sorbents reutilization with the number of carbonation/calcinations cycles. In order to optimizing the CaO/CaCO3 cycles, BP neural network model and PID temperature control system were established based on the simulation of the process parameters and dynamic characteristics. The carbonization/calcination temperature, the mass fraction of additives for sorbents and calcination time were selected for the input conditions, while the output conditions were capture capacity and the reutilization of sorbents. Genetic algorithm(GA) model is established to optimize the PID controller´s proportional coefficient kp, integral coefficient k1, and differential coefficient kD. The results indicated that BPNN coupled with PID model could form a complete optimization strategy for CO2 capture process by CaO/CaCO3 cycles.
Keywords :
backpropagation; calcination; genetic algorithms; neural nets; temperature control; three-term control; BP neural network model; CO2 capture process; CaCO3 calcination cycles; CaO carbonation; PID temperature control system design; additives; carbonation calcination cycles; genetic algorithm model; optimization model; sorbents reutilization; Calcination; Carbon capture and storage; Design optimization; Flue gases; Mathematical model; Neural networks; Power system modeling; Predictive models; Temperature control; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
Type :
conf
DOI :
10.1109/APPEEC.2010.5448289
Filename :
5448289
Link To Document :
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