Growth and property development of convection pass deposits in recovery boilers : final project project.

Lien, Steve J. (Georgia Institute of Technology, Atlanta, GA) ; Baxter, Larry L. ; Frederick, W. James Jr. (Georgia Institute of Technology, Atlanta, GA) ; Wessel, Richard A. (Babcock & ; Wilcox Company, Barberton, OH)

Sandia National Laboratories

关键词: Boilers;    Simulators Boilers.;    Chemical Vapor Deposition-Research.;    Chemical Properties;    Deposits;   

DOI  :  10.2172/920456
RP-ID  :  SAND2004-5514
RP-ID  :  AC04-94AL85000
RP-ID  :  920456

美国|英语

来源: UNT Digital Library

【 摘 要 】

As part of the U.S. Department of Energy (DOE) Office of Industrial Technologies (OIT) Industries of the Future (IOF) Forest Products research program, the mechanisms of particle deposition and properties of deposits that form in the convection passes of recovery boilers were investigated. Research from experimental facilities at Sandia National Laboratories, the Institute of Paper Science and Technology (IPST), and the University of Toronto (U of T) was coordinated into a single effort to define the controlling mechanisms and rates of deposition. Deposition rates were recorded on a volumetric and mass basis in a Sandia facility for particle sizes in the range of 0.1 to 150 {micro}m. Deposit thickness, mass, spectral emissivity, thermal conductivity, surface temperature, and apparent density were monitored simultaneously and in situ on instrumented probes that allow determination of heat flux and probe surface temperature. Particle composition and mass deposition rates were also recorded in a U of T facility for particle sizes in the range of 100 to 600 {micro}m. These measurements allowed determination of the liquid content and sticking efficiency of carryover particles that inertially impact on a deposition probe. In addition, information on particulates, stable gas species, gas temperature and velocity were obtained from field tests in an operating recovery boiler. The results were used to develop algorithms appropriate for use in computer codes that simulate recovery boilers. Representative calculations were performed using B&W's comprehensive recovery boiler model to demonstrate the use of the algorithms in such computer codes. Comparisons between observations in commercial systems and model predictions were made to identify algorithm strengths and weaknesses.