Date of Award
11-30-2018
Document Type
Thesis
Degree Name
Engineering, MSE
First Advisor
Kwangkook Jeong
Committee Members
Hideya Koizumi; Mohammad Abutayeh
Call Number
LD 251 .A566t 2018 S23
Abstract
This paper represents an analytical model for predicting mineral redistribution (MR) of coal blending during pulverized coal (PC) combustion in a pulverized coal-fired boiler. The objective of this research is to investigate the impact of fuel quality on MR. A MATLAB code was developed in modular approach for MR of coal blending from MR of single coal based on linear weighted average method. The MR of single coal sub-module calculates mass fraction of four major mineral oxides after combustion for default and alternative size ranges by using proximate analysis, Malvern analysis, Computer Controlled Scanning Electron Microscopy (CCSEM) analysis and composition analysis. The blending modeling was designed to blend up to seven bituminous or subbituminous coals. The organically-associated ash content smaller than 1 micrometer was not included in the calculation. The modeling was validated with experimental as well as published data and demonstrated with case studies.
Rights Management
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Saifujjaman, Md, "Predictive Modeling on Mineral Redistribution of Blended Coal During Pulverized Coal Combustion" (2018). Student Theses and Dissertations. 475.
https://arch.astate.edu/all-etd/475
