摘要：The linear programming (LP) model has been used to identify a cost-effective strategy for reducing CO<sub>2</sub> emissions in power plants considering coal washing, pollutant removal, and carbon capture processes, thus CO<sub>2</sub> emissions in different production processes can be obtained. The direct emissions (combustion emissions and desulfurization emissions) and indirect emissions (pollutant removal, coal washing, and carbon capture) of CO<sub>2</sub> were all considered in the LP model. Three planning periods were set with different CO<sub>2</sub> emission control desirability to simulate CO<sub>2</sub> emissions of the different reduction requirements. The results can reflect the CO<sub>2</sub> emissions across the whole production process of a coal-fired power plant overall. The simulation results showed that for a coal-fired power plant containing two 1000 MW ultra super-critical sets, when the desirability was 0.9, the CO<sub>2</sub> total emissions were 2.15, 1.84, and 1.59 million tons for the three planning periods. The research results suggest that the methodology of LP combined with fuzzy desirability function is applicable to represent the whole production process of industry sectors such as coal-fired power plants. The government policy makers could predict CO<sub>2</sub> emissions by this method and use the results as a reference to conduct effective industrial and energy structure adjustment.
