Issue |
E3S Web Conf.
Volume 46, 2018
3rd International Conference on Energy and Environmental Protection
|
|
---|---|---|
Article Number | 00010 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/e3sconf/20184600010 | |
Published online | 13 September 2018 |
Coal combustion modelling in a frontal pulverized coal-fired boiler
AGH University of Science and Technology, Faculty of Mechanical Engineering, Department of Power Systems and Environmental Protection Facilities, Mickiewicza 30 Av. 30-059 Kraków, Poland
* Corresponding author: madejski@agh.edu.pl
The paper presents results of numerical modelling of pulverized coal combustion process in the coal-fired boiler. In the numerical model, coal combustion process includes particle heating, devolatilization, char combustion, as well as turbulent flow and radiative heat transfer was modelled. Presented modelling results were carried out using the Open Source CFD code - Code_Saturne created and developed by EDF R&D and were used to study the combustion of coal in power plant boiler with the objective of simulating the operational conditions and identifying factors of inefficiency. The behaviour of the flow of air and pulverized coal through the burners was modelled, and the three-dimensional flue gas flow through the combustion chamber and heat exchangers was reproduced in the simulation.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.