Abstract:
The objectives for this project are:
Review previous work to predict combustion efficiency.
Identify how prediction can be made faster and more reliable than existing methods.
Develop the ability to predict how a coal will perform on a given boiler (to include ability to allow for specific plant features, eg mills and coal fineness, air ingress).
Provide a predictive tool which can be used to quantify combustion improvement from proposed plant modifications.
The overall aim of the project was to develop new tools for the reliable and rapid prediction of combustion efficiency of coals in pf-fired utility boilers. This would give the ability to improve fuel selection and chose the most appropriate burner and boiler design for a given fuel.
The conclusions of this project are:
Various ways have been identified to enable the prediction of combustion efficiency (carbon burnout) to be made faster and more reliable. This has been done partly by examining the strengths and weaknesses of existing methods within the review. In addition, the key physical processes have been identified and the currently available methods for modelling them have been tested. This has enabled the most promising methods to be further developed.
Two new approaches have been developed to predict how a coal will perform on a given boiler. One is an empirical correlation for a single power station and the other is a computer model applicable to any specific coal and power station. The latter includes the ability to allow for specific plant problems, eg mills, air ingress. Software has been developed for such a generic carbon-in-ash predictor and has supplied to project participants and tested by them. It shows promise but requires further development.
The generic carbon-in-ash predictor developed within the project can, in principle, provide a predictive tool which can be used to quantify combustion improvement from proposed plant modifications.
This summary provides information on:
Objectives
Summary
Background
Review Burnout Predictions and Data
Coal Selection
Power Station Trials
Rig Testing
Appraisal of PC Coal Lab
Appraisal of an In-House Predictor
Development of a Burnout Model
Comparison of Methods for Estimating Carbon-In-Ash
Conclusions
Cost
Duration
Contractor
Collaborators
