A Improved Fuzzy Analytic Hierarchy Process Application in Prevention High Temperature Corrosion

The mechanism of formation of high temperature corrosion in large scale utility boilers is complex and involves numerous interrelated influencing factors. The fuzzy analytic hierarchy process (FAHP) has been employed in this chapter to make quantitative computations of the factors that influence the formation of the corrosion. When constructing the fuzzy judgment matrix, an affecting degree table of influencing factors was worked out first. Then the score of a pair-wise comparison was computed from a proposed expression r _ij = x − y + 0.5. This improved method was applied to the analysis of the high temperature corrosion problem of a 215 MW coal-fired utility boiler, combining with in-site test data. The weights of the influencing factors were determined quantitatively and the main influencing factors were found out. Based on the calculated results, various adjustments to the combustion processes were made and, as a result, high temperature corrosion on the water wall tubes has been found largely reduced on the schedule shutdown of the boiler half year later. Moreover, a real-time high temperature corrosion detection technique can be developed based on the method reported in this chapter.