Abstract
Coal-fired power plants are usually equipped with selective catalytic reduction (SCR) systems to reduce nitrogen oxides (NOx) emissions. In this paper, we considered both the denitrification cost of the SCR system and the coal burning cost of the boiler to develop an operation cost model. Furthermore, the genetic algorithm was proposed to minimize the total operation cost by optimizing the feature parameters, including the primary air pressure, secondary air volume, overheated air volume, and NH3 injection volume. Simulation experiments were performed based on the operating data of a 1000 MW coal-fired power plant, with results showing that the total operating cost of the boiler and SCR was lowered.
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