PREDICTION OF AGGLOMERATION,FOULING,AND CORROSION TENDENCY OF FUELS IN CFB CO-COMBUSTION
Prediction of agglomeration, fouling, and corrosion tendency of fuels is essential to the design of any CFB boiler. During the years, tools have been successfully developed at Foster Wheeler to help with such predictions for the most commercial fuels. However, changes in fuel market and the ever-growing demand for co-combustion capabilities pose a continuous need for development. This paper presents results from recently upgraded models used at Foster Wheeler to predict agglomeration, fouling, and corrosion tendency of a variety of fuels and mixtures. The models, subject of this paper, are semi-empirical computer tools that combine the theoretical basics of agglomeration/fouling/corrosion phenomena with empirical correlations. Correlations are derived from Foster Wheeler’s experience in fluidized beds, including nearly 10,000 fuel samples and over 1,000 tests in about 150 CFB units. In these models, fuels are evaluated based on their classification, their chemical and physical properties by standard analyses (proximate, ultimate, fuel ash composition, etc… ) alongside with Foster Wheeler own characterization methods. Mixtures are then evaluated taking into account the component fuels. This paper presents the predictive capabilities of the agglomeration/fouling/corrosion probability models for selected fuels and mixtures fired in full-scale. The selected fuels include coals and different types of biomass. The models are capable to predict the behavior of most fuels and mixtures, but also offer possibilities for further improvements.
agglomeration fouling corrosion co-combustion CFB
Vesna Barisic Edgardo Coda Zabetta Juha Sarkki
Foster Wheeler Energia Oy, Relanderinkatu 2, FI-78201 Varkaus, Finland Foster Wheeler Energia Oy, Mets(a)neidonkuja 8, Fl-02130 Espoo, Finland
国际会议
第20届国际流化床燃烧会议(20th International Conference on Fluidized Bed Combustion)
西安
英文
416-421
2009-05-18（万方平台首次上网日期，不代表论文的发表时间）