The catalysts of Mn/TiO2, Fe/TiO2and Mn-Fe/TiO2prepared by coprecipitation method were investigated for low temperature selective catalytic reduction of NO with NH3. The catalytic activity and SO2resistance of these three catalysts were tested and the properties of the catalysts were characterized by using N2-BET, XRD, H2-TPR, NH3-TPD methods. It was found that the doping of iron reduced the catalytic activity of Mn/TiO2catalyst at low temperature and also has an adverse effect for its SO2resistance at the same time. The decrease of surface area , redox ability and surface acid sites caused by doping of iron might be the main reasons for poor performance of this catalyst.

In order to fit in with the demands of the development of electricity market in China, a multi-objective optimization mathematical model is presented to dispatch load within the units, taking economy, environmental protection and quick responsiveness to dispatching commands into consideration at the same time. And take the minimal whole plants power-supply coal cost rate, the minimal pollutant emissions and the minimal load adjusting time as these three objective functions respectively. The four constraint conditions are unit power balance constraint, load bound constraint, ramping constraint and pollution discharge standards constraint. An improved particle swarm optimization algorithm is used to get the Pareto solution set. The optimal solution was obtained by using the method of multi-attribute decision making, through sequencing the solution set by comprehensive evaluation. A case study based on a power plant with 4×600MW units was carried out. The result shows that the method can solve the multi-objective optimal load distribution problem accurately and quickly, and get the good effect in energy conservation and emissions reduction.