Field tests and optimization operation research of a 600 MW power plant WFGD

Abstract

High efficiency and low cost are the two main goals of desulfurization system operation optimization. Some field tests were performed on a wet desulfurization system for a certain 600 MW coal-fired power unit. By changing the factors such as the absorber entrance concentration of SO2, absorber slurry pH value, the number of slurry circulating pumps, the regularity of desulfurization efficiency in different working conditions was studied. The results indicated that the desulfurization efficiency became higher when the entrance concentration of SO2 was lower or the slurry ph value was higher. Running a pump at any load will increase the liquid-gas ratio so as the desulfurization efficiency. On the basis of field tests and the analysis of operation cost, the artificial intelligence methods were used in desulfurization system operation optimization. Firstly, BPNN models of desulfurization efficiency and booster fan current were built; secondly, an optimization model of desulfurization system operation cost was established to obtain the optimal parameters by the BBO algorithm, such as limestone slurry pH value, booster fan opening degree, liquid-gas ratio, etc. The optimal solution and data analysis showed that the proposed optimization control scheme in this chapter was effective to improve desulfurization efficiency and reduce operation cost. © 2014 Springer Science+Business Media New York.