Application of modern prediction and optimization algorithms in FGD systems

Abstract

Abstract: The continuous development of artificial intelligence technology has impacted quantitative analysis flue gas
desulfurization（FGD）system in various factors，and has created favorable condition for its desulfurization efficiency and
economic cost. By analyzing the details of the network construction and parameter selection in FGD system SO2 emission
prediction calculated by neural network algorithm，the application characteristics of the algorithm in FGD system is
discussed. In addition，targeted discuss is made on the optimization of booster fan，oxidation fan and syrup circulation
pump，which aims at refining the detailed design and optimization targets of the prediction + optimization algorithm in FGD
systems.

Key words: flue gas desulfurization, SO2 emission, prediction, neural network, optimization, genetic algorithm, particle
swarm optimization, intelligent environmental protection, artificial intelligence

CAO Jianzong1，LIN Chenyu2，CHEN Wentong1，LIU Qi2，ZHOU Quan2，. Application of modern prediction and optimization algorithms in FGD systems[J]. Huadian Technology, 2020, 42(3): 59-66.

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Application of modern prediction and optimization algorithms in FGD systems

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