Document Type
Article
Publication Date
2015
College/Unit
Statler College of Engineering and Mining Resources
Department/Program/Center
Mechanical and Aerospace Engineering
Abstract
Oxy-coal combustion is one of the more promising technologies currently under development for addressing the issues associated with greenhouse gas emissions from coal-fired power plants. Oxy-coal combustion involves combusting the coal fuel in mixtures of pure oxygen and recycled flue gas (RFG) consisting of mainly carbon dioxide (CO2). As a consequence, many researchers and power plant designers have turned to CFD simulations for the study and design of new oxy-coal combustion power plants, as well as refitting existing air-coal combustion facilities to oxy-coal combustion operations. While CFD is a powerful tool that can provide a vast amount of information, the simulations themselves can be quite expensive in terms of computational resources and time investment. As a remedy, a reduced order model (ROM) for oxy-coal combustion has been developed to supplement the CFD simulations. With this model, it is possible to quickly estimate the average outlet temperature of combustion flue gases given a known set of mass flow rates of fuel and oxidant entering the power plant boiler as well as determine the required reactor inlet mass flow rates for a desired outlet temperature. Several cases have been examined with this model. The results compare quite favorably to full CFD simulation results.
Digital Commons Citation
Rowan, Steven L.; Celik, Ismail B.; Gutierrez, Albio D.; and Vargas, Jose E., "A Reduced Order Model for the Design of Oxy-Coal Combustion Systems" (2015). Faculty & Staff Scholarship. 2299.
https://researchrepository.wvu.edu/faculty_publications/2299
Source Citation
Rowan, S. L., Celik, I. B., Gutierrez, A. D., & Escobar Vargas, J. (2015). A Reduced Order Model for the Design of Oxy-Coal Combustion Systems. Journal of Combustion, 2015, 1–9. https://doi.org/10.1155/2015/943568
Comments
Copyright © 2015 Steven L. Rowan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.