Analysis of dynamic boiler measurements: a practical approach

T.A. Fuller, T.J. Flynn Babcock & Wilcox, R&D Division Alliance OH 44601

C.S. Daw Engineering Technology Division Oak Ridge National Laboratory Oak Ridge TN 37831-8088

Driven by economic pressures and government emissions regulations, the electric power industry is moving toward tighter control of boilers to improve plant efficiency and reduce emissions. Tighter control depends on better boiler diagnostic tools, especially for disciminating dynamic patterns and correlating those patterns with overall performance. Our research indicates that improved discrimination of dynamic patterns in boilers can be achieved by combining traditional data analysis techniques and chaotic time series analysis. Suggested analysis tools and data acquisition procedures are described, along with example results for measurements from a low-NO_x pulverized coal combustor.

Fuller TA, Flynn TJ, Daw CS (1996). Analysis of dynamic boiler measurements: a practical approach. Chemical Engineering Journal 64(1): 179-189.

Please email comments about this page to www-adm@www-chaos.engr.utk.edu.

This page's URL is http://www-chaos.engr.utk.edu/abs/abs-cej64boi.html.

Updated: 1998-01-05 ceaf