Method for predicting ammonia process flue gas desulphurization efficiency based on multiple parameters
A technology for desulfurization efficiency and prediction methods, applied in separation methods, chemical instruments and methods, biological neural network models, etc., can solve problems such as only reflection, measurement deviation, and no precedent
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[0186] Example 1: Using the flue gas volume, circulation pump flow rate, concentration pump flow rate, ammonia concentration, absorption liquid concentration, liquid-gas ratio, inlet flue gas temperature, ammonia consumption, and spray slurry of an ammonia-based flue gas desulfurization system in a domestic power plant The above four models were trained with 1500 sets of operating parameters such as density, pH value of spray tower slurry, and pH value of pre-scrubber slurry, and then tested with 100 sets of operating parameters. The results are shown in Table 1 (partial test samples).
[0187] Table 1
[0188]
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