ABSTRACT
In the actual boiler combustion optimization, the best operation mode is to improve boiler efficiency, reduce NOx emission, reduce auxiliary power consumption and reduce desuperheating water consumption. In particular, there are contradictions among various index factors, so it is difficult to establish a mathematical model to take into account these indexes at the same time. Two kinds of multi-objective decision-making methods in fuzzy mathematics theory are introduced. Based on the test data of a power plant burning inferior coal in different proportions, the application of two kinds of multi-objective decision-making methods in the decision-making of burning inferior coal is expounded, and the determination method of index weight is explained. Based on the theory of fuzzy mathematics, the method of weighted relative deviation minimum and the method of quantitative index comprehensive decision-making are proposed to make multi-objective decision-making. The results show that the multi-objective decision-making method can evaluate the blending data of inferior coal according to the factor index weight. The results of the two methods are the same. Under the currently selected index weight, the scheme of blending 60% of inferior coal has a good blending effect. The evaluation method provided a new idea for the accurate evaluation of the blending effect of inferior coal.
